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konard/solution-draft-log-pr-1765144098141.txt

Created December 7, 2025 21:48
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solution-draft-log-pr-1765144098141.txt
# Solve.mjs Log - 2025-12-07T21:36:11.380Z
[2025-12-07T21:36:11.381Z] [INFO] 📁 Log file: /home/hive/solve-2025-12-07T21-36-11-380Z.log
[2025-12-07T21:36:11.382Z] [INFO] (All output will be logged here)
[2025-12-07T21:36:11.826Z] [INFO]
[2025-12-07T21:36:11.827Z] [INFO] 🚀 solve v0.37.18
[2025-12-07T21:36:11.827Z] [INFO] 🔧 Raw command executed:
[2025-12-07T21:36:11.828Z] [INFO] /home/hive/.nvm/versions/node/v20.19.6/bin/node /home/hive/.bun/bin/solve https://github.com/VisageDvachevsky/VEIL/issues/28 --auto-fork --auto-continue --attach-logs --verbose --no-tool-check
[2025-12-07T21:36:11.828Z] [INFO]
[2025-12-07T21:36:11.838Z] [INFO]
[2025-12-07T21:36:11.839Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED
[2025-12-07T21:36:11.840Z] [INFO]
[2025-12-07T21:36:11.840Z] [INFO] This option will upload the complete solution draft log file to the Pull Request.
[2025-12-07T21:36:11.840Z] [INFO] The log may contain sensitive information such as:
[2025-12-07T21:36:11.841Z] [INFO] • API keys, tokens, or secrets
[2025-12-07T21:36:11.841Z] [INFO] • File paths and directory structures
[2025-12-07T21:36:11.841Z] [INFO] • Command outputs and error messages
[2025-12-07T21:36:11.842Z] [INFO] • Internal system information
[2025-12-07T21:36:11.842Z] [INFO]
[2025-12-07T21:36:11.842Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log
[2025-12-07T21:36:11.842Z] [INFO] might contain sensitive data that should not be shared publicly.
[2025-12-07T21:36:11.842Z] [INFO]
[2025-12-07T21:36:11.843Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort)
[2025-12-07T21:36:11.843Z] [INFO]
[2025-12-07T21:36:16.847Z] [INFO]
[2025-12-07T21:36:16.875Z] [INFO] 💾 Disk space check: 19000MB available (500MB required) ✅
[2025-12-07T21:36:16.877Z] [INFO] 🧠 Memory check: 10492MB available, swap: 2047MB (0MB used), total: 12539MB (256MB required) ✅
[2025-12-07T21:36:16.878Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)
[2025-12-07T21:36:16.878Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)
[2025-12-07T21:36:16.878Z] [INFO] 📋 URL validation:
[2025-12-07T21:36:16.878Z] [INFO] Input URL: https://github.com/VisageDvachevsky/VEIL/issues/28
[2025-12-07T21:36:16.878Z] [INFO] Is Issue URL: true
[2025-12-07T21:36:16.879Z] [INFO] Is PR URL: false
[2025-12-07T21:36:16.879Z] [INFO] 🔍 Checking repository access for auto-fork...
[2025-12-07T21:36:17.468Z] [INFO] Repository visibility: public
[2025-12-07T21:36:17.468Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode
[2025-12-07T21:36:17.469Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled)
[2025-12-07T21:36:17.811Z] [INFO] Repository visibility: public
[2025-12-07T21:36:17.812Z] [INFO] Auto-cleanup default: false (repository is public)
[2025-12-07T21:36:17.813Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #28...
[2025-12-07T21:36:18.351Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/VisageDvachevsky-VEIL...
[2025-12-07T21:36:18.995Z] [INFO] 📝 No existing PRs found for issue #28 - creating new PR
[2025-12-07T21:36:18.996Z] [INFO] 📝 Issue mode: Working with issue #28
[2025-12-07T21:36:18.998Z] [INFO]
Creating temporary directory: /tmp/gh-issue-solver-1765143378997
[2025-12-07T21:36:19.000Z] [INFO]
🍴 Fork mode: ENABLED
[2025-12-07T21:36:19.000Z] [INFO] Checking fork status...
[2025-12-07T21:36:19.302Z] [INFO] 🔍 Detecting fork conflicts...
[2025-12-07T21:36:20.323Z] [INFO] ✅ No fork conflict: Safe to proceed
[2025-12-07T21:36:20.590Z] [INFO] ✅ Fork exists: konard/VisageDvachevsky-VEIL
[2025-12-07T21:36:20.592Z] [INFO]
📥 Cloning repository: konard/VisageDvachevsky-VEIL
[2025-12-07T21:36:21.887Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1765143378997
[2025-12-07T21:36:21.901Z] [INFO] 🔗 Setting upstream: VisageDvachevsky/VEIL
[2025-12-07T21:36:21.914Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote
[2025-12-07T21:36:21.915Z] [INFO] 🔄 Fetching upstream...
[2025-12-07T21:36:22.189Z] [INFO] ✅ Upstream fetched: Successfully
[2025-12-07T21:36:22.190Z] [INFO] 🔄 Syncing default branch...
[2025-12-07T21:36:22.500Z] [INFO] ℹ️ Default branch: main
[2025-12-07T21:36:22.531Z] [INFO] ✅ Default branch synced: with upstream/main
[2025-12-07T21:36:22.532Z] [INFO] 🔄 Pushing to fork: main branch
[2025-12-07T21:36:23.251Z] [INFO] ✅ Fork updated: Default branch pushed to fork
[2025-12-07T21:36:23.317Z] [INFO]
📌 Default branch: main
[2025-12-07T21:36:23.328Z] [INFO]
🌿 Creating branch: issue-28-1c89182056aa from main
[2025-12-07T21:36:23.338Z] [INFO] 🔍 Verifying: Branch creation...
[2025-12-07T21:36:23.350Z] [INFO] ✅ Branch created: issue-28-1c89182056aa
[2025-12-07T21:36:23.351Z] [INFO] ✅ Current branch: issue-28-1c89182056aa
[2025-12-07T21:36:23.351Z] [INFO] Branch operation: Create new branch
[2025-12-07T21:36:23.351Z] [INFO] Branch verification: Matches expected
[2025-12-07T21:36:23.354Z] [INFO]
🚀 Auto PR creation: ENABLED
[2025-12-07T21:36:23.355Z] [INFO] Creating: Initial commit and draft PR...
[2025-12-07T21:36:23.355Z] [INFO]
[2025-12-07T21:36:23.356Z] [INFO] 📝 Creating: CLAUDE.md with task details
[2025-12-07T21:36:23.356Z] [INFO] Issue URL from argv['issue-url']: https://github.com/VisageDvachevsky/VEIL/issues/28
[2025-12-07T21:36:23.356Z] [INFO] Issue URL from argv._[0]: undefined
[2025-12-07T21:36:23.356Z] [INFO] Final issue URL: https://github.com/VisageDvachevsky/VEIL/issues/28
[2025-12-07T21:36:23.356Z] [INFO] CLAUDE.md already exists, appending task info...
[2025-12-07T21:36:23.357Z] [INFO] ✅ File created: CLAUDE.md
[2025-12-07T21:36:23.357Z] [INFO] 📦 Adding file: To git staging
[2025-12-07T21:36:23.380Z] [INFO] Git status after add: M CLAUDE.md
[2025-12-07T21:36:23.381Z] [INFO] 📝 Creating commit: With CLAUDE.md file
[2025-12-07T21:36:23.396Z] [INFO] ✅ Commit created: Successfully with CLAUDE.md
[2025-12-07T21:36:23.396Z] [INFO] Commit output: [issue-28-1c89182056aa a336b28] Initial commit with task details for issue #28
1 file changed, 13 insertions(+), 1 deletion(-)
[2025-12-07T21:36:23.409Z] [INFO] Commit hash: a336b28...
[2025-12-07T21:36:23.421Z] [INFO] Latest commit: a336b28 Initial commit with task details for issue #28
[2025-12-07T21:36:23.434Z] [INFO] Git status: clean
[2025-12-07T21:36:23.445Z] [INFO] Remotes: origin https://github.com/konard/VisageDvachevsky-VEIL.git (fetch)
[2025-12-07T21:36:23.456Z] [INFO] Branch info: * issue-28-1c89182056aa a336b28 Initial commit with task details for issue #28
main 48ae5ba [origin/main] Fix compile errors and update documentation (#27)
[2025-12-07T21:36:23.458Z] [INFO] 📤 Pushing branch: To remote repository...
[2025-12-07T21:36:23.458Z] [INFO] Push command: git push -u origin issue-28-1c89182056aa
[2025-12-07T21:36:24.173Z] [INFO] Push exit code: 0
[2025-12-07T21:36:24.173Z] [INFO] Push output: remote:
remote: Create a pull request for 'issue-28-1c89182056aa' on GitHub by visiting:
remote: https://github.com/konard/VisageDvachevsky-VEIL/pull/new/issue-28-1c89182056aa
remote:
To https://github.com/konard/VisageDvachevsky-VEIL.git
* [new branch] issue-28-1c89182056aa -> issue-28-1c89182056aa
branch 'issue-28-1c89182056aa' set up to track 'origin/issue-28-1c89182056aa'.
[2025-12-07T21:36:24.174Z] [INFO] ✅ Branch pushed: Successfully to remote
[2025-12-07T21:36:24.174Z] [INFO] Push output: remote:
remote: Create a pull request for 'issue-28-1c89182056aa' on GitHub by visiting:
remote: https://github.com/konard/VisageDvachevsky-VEIL/pull/new/issue-28-1c89182056aa
remote:
To https://github.com/konard/VisageDvachevsky-VEIL.git
* [new branch] issue-28-1c89182056aa -> issue-28-1c89182056aa
branch 'issue-28-1c89182056aa' set up to track 'origin/issue-28-1c89182056aa'.
[2025-12-07T21:36:24.174Z] [INFO] Waiting for GitHub to sync...
[2025-12-07T21:36:26.585Z] [INFO] Compare API check: 1 commit(s) ahead of main
[2025-12-07T21:36:26.586Z] [INFO] GitHub compare API ready: 1 commit(s) found
[2025-12-07T21:36:26.852Z] [INFO] Branch verified on GitHub: issue-28-1c89182056aa
[2025-12-07T21:36:27.111Z] [INFO] Remote commit SHA: a336b28...
[2025-12-07T21:36:27.112Z] [INFO] 📋 Getting issue: Title from GitHub...
[2025-12-07T21:36:27.569Z] [INFO] Issue title: "Windows-клиент и Windows-сервер VEIL с GUI"
[2025-12-07T21:36:27.570Z] [INFO] 👤 Getting user: Current GitHub account...
[2025-12-07T21:36:27.827Z] [INFO] Current user: konard
[2025-12-07T21:36:28.059Z] [INFO] User is not a collaborator (will skip assignment)
[2025-12-07T21:36:28.064Z] [INFO] User is not a collaborator (will skip assignment)
[2025-12-07T21:36:28.065Z] [INFO] 🔄 Fetching: Latest main branch...
[2025-12-07T21:36:28.414Z] [INFO] ✅ Base updated: Fetched latest main
[2025-12-07T21:36:28.415Z] [INFO] 🔍 Checking: Commits between branches...
[2025-12-07T21:36:28.430Z] [INFO] Commits ahead of origin/main: 1
[2025-12-07T21:36:28.431Z] [INFO] ✅ Commits found: 1 commit(s) ahead
[2025-12-07T21:36:28.431Z] [INFO] 🔀 Creating PR: Draft pull request...
[2025-12-07T21:36:28.431Z] [INFO] 🎯 Target branch: main (default)
[2025-12-07T21:36:28.432Z] [INFO] PR Title: [WIP] Windows-клиент и Windows-сервер VEIL с GUI
[2025-12-07T21:36:28.432Z] [INFO] Base branch: main
[2025-12-07T21:36:28.432Z] [INFO] Head branch: issue-28-1c89182056aa
[2025-12-07T21:36:28.432Z] [INFO] Assignee: konard
[2025-12-07T21:36:28.432Z] [INFO] PR Body:
## 🤖 AI-Powered Solution Draft
This pull request is being automatically generated to solve issue VisageDvachevsky/VEIL#28.
### 📋 Issue Reference
Fixes VisageDvachevsky/VEIL#28
### 🚧 Status
**Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft.
### 📝 Implementation Details
_Details will be added as the solution draft is developed..._
---
*This PR was created automatically by the AI issue solver*
[2025-12-07T21:36:28.434Z] [INFO] Command: cd "/tmp/gh-issue-solver-1765143378997" && gh pr create --draft --title "$(cat '/tmp/pr-title-1765143388434.txt')" --body-file "/tmp/pr-body-1765143388433.md" --base main --head konard:issue-28-1c89182056aa --repo VisageDvachevsky/VEIL
[2025-12-07T21:36:30.147Z] [INFO] 🔍 Verifying: PR creation...
[2025-12-07T21:36:30.670Z] [INFO] ✅ Verification: PR exists on GitHub
[2025-12-07T21:36:30.671Z] [INFO] ✅ PR created: #29
[2025-12-07T21:36:30.672Z] [INFO] 📍 PR URL: https://github.com/VisageDvachevsky/VEIL/pull/29
[2025-12-07T21:36:30.673Z] [INFO] ℹ️ Note: Could not assign (no permission)
[2025-12-07T21:36:30.673Z] [INFO] 🔗 Linking: Issue #28 to PR #29...
[2025-12-07T21:36:30.994Z] [INFO] Issue node ID: I_kwDOQkLFsM7cxrWb
[2025-12-07T21:36:31.349Z] [INFO] PR node ID: PR_kwDOQkLFsM63jiCf
[2025-12-07T21:36:31.628Z] [INFO] ✅ Link verified: Issue #28 → PR #29
[2025-12-07T21:36:31.921Z] [INFO] 👤 Current user: konard
[2025-12-07T21:36:31.922Z] [INFO]
📊 Comment counting conditions:
[2025-12-07T21:36:31.922Z] [INFO] prNumber: 29
[2025-12-07T21:36:31.923Z] [INFO] branchName: issue-28-1c89182056aa
[2025-12-07T21:36:31.923Z] [INFO] isContinueMode: false
[2025-12-07T21:36:31.923Z] [INFO] Will count comments: true
[2025-12-07T21:36:31.923Z] [INFO] 💬 Counting comments: Checking for new comments since last commit...
[2025-12-07T21:36:31.923Z] [INFO] PR #29 on branch: issue-28-1c89182056aa
[2025-12-07T21:36:31.924Z] [INFO] Owner/Repo: VisageDvachevsky/VEIL
[2025-12-07T21:36:32.263Z] [INFO] 📅 Last commit time (from API): 2025-12-07T21:36:23.000Z
[2025-12-07T21:36:33.269Z] [INFO] 💬 New PR comments: 0
[2025-12-07T21:36:33.269Z] [INFO] 💬 New issue comments: 0
[2025-12-07T21:36:33.270Z] [INFO] Total new comments: 0
[2025-12-07T21:36:33.270Z] [INFO] Comment lines to add: No (saving tokens)
[2025-12-07T21:36:33.270Z] [INFO] PR review comments fetched: 0
[2025-12-07T21:36:33.270Z] [INFO] PR conversation comments fetched: 0
[2025-12-07T21:36:33.270Z] [INFO] Total PR comments checked: 0
[2025-12-07T21:36:35.649Z] [INFO] Feedback info will be added to prompt:
[2025-12-07T21:36:35.650Z] [INFO] - Pull request description was edited after last commit
[2025-12-07T21:36:35.650Z] [INFO] 📅 Getting timestamps: From GitHub servers...
[2025-12-07T21:36:35.968Z] [INFO] 📝 Issue updated: 2025-12-07T21:35:39.000Z
[2025-12-07T21:36:36.250Z] [INFO] 💬 Comments: None found
[2025-12-07T21:36:36.574Z] [INFO] 🔀 Recent PR: 2025-12-07T21:36:29.000Z
[2025-12-07T21:36:36.575Z] [INFO]
✅ Reference time: 2025-12-07T21:36:29.000Z
[2025-12-07T21:36:36.576Z] [INFO]
🔍 Checking for uncommitted changes to include as feedback...
[2025-12-07T21:36:36.591Z] [INFO] ✅ No uncommitted changes found
[2025-12-07T21:36:36.873Z] [INFO] 📦 Fork workflows detected: https://github.com/konard/VisageDvachevsky-VEIL/actions?query=branch%3Aissue-28-1c89182056aa
[2025-12-07T21:36:36.876Z] [INFO]
📝 Final prompt structure:
[2025-12-07T21:36:36.877Z] [INFO] Characters: 494
[2025-12-07T21:36:36.877Z] [INFO] System prompt characters: 8466
[2025-12-07T21:36:36.877Z] [INFO] Feedback info: Included
[2025-12-07T21:36:36.879Z] [INFO]
🤖 Executing Claude: SONNET
[2025-12-07T21:36:36.880Z] [INFO] Model: sonnet
[2025-12-07T21:36:36.880Z] [INFO] Working directory: /tmp/gh-issue-solver-1765143378997
[2025-12-07T21:36:36.880Z] [INFO] Branch: issue-28-1c89182056aa
[2025-12-07T21:36:36.880Z] [INFO] Prompt length: 494 chars
[2025-12-07T21:36:36.881Z] [INFO] System prompt length: 8466 chars
[2025-12-07T21:36:36.881Z] [INFO] Feedback info included: Yes (1 lines)
[2025-12-07T21:36:36.901Z] [INFO] 📈 System resources before execution:
[2025-12-07T21:36:36.902Z] [INFO] Memory: MemFree: 8880624 kB
[2025-12-07T21:36:36.902Z] [INFO] Load: 0.24 0.08 0.04 1/405 621027
[2025-12-07T21:36:36.902Z] [INFO]
📝 Raw command:
[2025-12-07T21:36:36.902Z] [INFO] (cd "/tmp/gh-issue-solver-1765143378997" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-sonnet-4-5-20250929 -p "Issue to solve: https://github.com/VisageDvachevsky/VEIL/issues/28
Your prepared branch: issue-28-1c89182056aa
Your prepared working directory: /tmp/gh-issue-solver-1765143378997
Your prepared Pull Request: https://github.com/VisageDvachevsky/VEIL/pull/29
Your forked repository: konard/VisageDvachevsky-VEIL
Original repository (upstream): VisageDvachevsky/VEIL
GitHub Actions on your fork: https://github.com/konard/VisageDvachevsky-VEIL/actions?query=branch%3Aissue-28-1c89182056aa
Proceed." --append-system-prompt "You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements.
General guidelines.
- When you execute commands, always save their logs to files for easier reading if the output becomes large.
- When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file.
- When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
- When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
Step 1: List recent runs with timestamps using: gh run list --repo VisageDvachevsky/VEIL --branch issue-28-1c89182056aa --limit 5 --json databaseId,conclusion,createdAt,headSha
Step 2: Verify runs are after the latest commit by checking timestamps and SHA
Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo VisageDvachevsky/VEIL --log > ci-logs/{workflow}-{run-id}.log
Step 4: Read each downloaded log file using Read tool to understand the actual failures
Step 5: Report findings with specific errors and line numbers from logs
This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
- When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
- When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
- When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later.
- When testing your assumptions, use the experiment scripts, and add it to experiments folder.
- When your experiments can show real world use case of the software, add it to examples folder.
- When you face something extremely hard, use divide and conquer — it always helps.
Initial research.
- When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.
- When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs.
- When you read issue, read all details and comments thoroughly.
- When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it.
- When you need issue details, use gh issue view https://github.com/VisageDvachevsky/VEIL/issues/28.
- When you need related code, use gh search code --owner VisageDvachevsky [keywords].
- When you need repo context, read files in your working directory.
- When you study related work, study the most recent related pull requests.
- When issue is not defined enough, write a comment to ask clarifying questions.
- When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
- When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.
- When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.
- When you need latest comments on pull request (sorted newest first), use appropriate GitHub API commands.
- When you need latest comments on issue (sorted newest first), use appropriate GitHub API commands.
Solution development and testing.
- When issue is solvable, implement code with tests.
- When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.
- When you test:
start from testing of small functions using separate scripts;
write unit tests with mocks for easy and quick start.
- When you test integrations, use existing framework.
- When you test solution draft, include automated checks in pr.
- When issue is unclear, write comment on issue asking questions.
- When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help.
- When you need human help, use gh pr comment 29 --body \"your message\" to comment on existing PR.
Preparing pull request.
- When you code, follow contributing guidelines.
- When you commit, write clear message.
- When you need examples of style, use gh pr list --repo VisageDvachevsky/VEIL --state merged --search [keywords].
- When you open pr, describe solution draft and include tests.
- When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
- When you update existing pr 29, use gh pr edit to modify title and description.
- When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
- When you finalize the pull request:
follow style from merged prs for code, title, and description,
make sure no uncommitted changes corresponding to the original requirements are left behind,
make sure the default branch is merged to the pull request's branch,
make sure all CI checks passing if they exist before you finish,
double-check that all changes in the pull request answer to original requirements of the issue,
make sure no new new bugs are introduced in pull request by carefully reading gh pr diff,
make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.
- When you finish implementation, use gh pr ready 29.
Workflow and collaboration.
- When you check branch, verify with git branch --show-current.
- When you push, push only to branch issue-28-1c89182056aa.
- When you finish, create a pull request from branch issue-28-1c89182056aa. (Note: PR 29 already exists, update it instead)
- When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
- When you manage commits, preserve commit history for later analysis.
- When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
- When you face conflict that you cannot resolve yourself, ask for help.
- When you collaborate, respect branch protections by working only on issue-28-1c89182056aa.
- When you mention result, include pull request url or comment url.
- When you need to create pr, remember pr 29 already exists for this branch.
Self review.
- When you check your solution draft, run all tests locally.
- When you compare with repo style, use gh pr diff [number].
- When you finalize, confirm code, tests, and description are consistent." | jq -c .)
[2025-12-07T21:36:36.903Z] [INFO]
[2025-12-07T21:36:36.903Z] [INFO] 📋 User prompt:
[2025-12-07T21:36:36.903Z] [INFO] ---BEGIN USER PROMPT---
[2025-12-07T21:36:36.903Z] [INFO] Issue to solve: https://github.com/VisageDvachevsky/VEIL/issues/28
Your prepared branch: issue-28-1c89182056aa
Your prepared working directory: /tmp/gh-issue-solver-1765143378997
Your prepared Pull Request: https://github.com/VisageDvachevsky/VEIL/pull/29
Your forked repository: konard/VisageDvachevsky-VEIL
Original repository (upstream): VisageDvachevsky/VEIL
GitHub Actions on your fork: https://github.com/konard/VisageDvachevsky-VEIL/actions?query=branch%3Aissue-28-1c89182056aa
Proceed.
[2025-12-07T21:36:36.904Z] [INFO] ---END USER PROMPT---
[2025-12-07T21:36:36.904Z] [INFO]
[2025-12-07T21:36:36.904Z] [INFO] 📋 System prompt:
[2025-12-07T21:36:36.905Z] [INFO] ---BEGIN SYSTEM PROMPT---
[2025-12-07T21:36:36.905Z] [INFO] You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements.
General guidelines.
- When you execute commands, always save their logs to files for easier reading if the output becomes large.
- When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file.
- When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command.
- When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps:
Step 1: List recent runs with timestamps using: gh run list --repo VisageDvachevsky/VEIL --branch issue-28-1c89182056aa --limit 5 --json databaseId,conclusion,createdAt,headSha
Step 2: Verify runs are after the latest commit by checking timestamps and SHA
Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo VisageDvachevsky/VEIL --log > ci-logs/{workflow}-{run-id}.log
Step 4: Read each downloaded log file using Read tool to understand the actual failures
Step 5: Report findings with specific errors and line numbers from logs
This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR.
Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy.
- When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.
- When facing a complex problem, do as much tracing as possible and turn on all verbose modes.
- When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later.
- When testing your assumptions, use the experiment scripts, and add it to experiments folder.
- When your experiments can show real world use case of the software, add it to examples folder.
- When you face something extremely hard, use divide and conquer — it always helps.
Initial research.
- When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.
- When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs.
- When you read issue, read all details and comments thoroughly.
- When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it.
- When you need issue details, use gh issue view https://github.com/VisageDvachevsky/VEIL/issues/28.
- When you need related code, use gh search code --owner VisageDvachevsky [keywords].
- When you need repo context, read files in your working directory.
- When you study related work, study the most recent related pull requests.
- When issue is not defined enough, write a comment to ask clarifying questions.
- When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication.
- When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.
- When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.
- When you need latest comments on pull request (sorted newest first), use appropriate GitHub API commands.
- When you need latest comments on issue (sorted newest first), use appropriate GitHub API commands.
Solution development and testing.
- When issue is solvable, implement code with tests.
- When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.
- When you test:
start from testing of small functions using separate scripts;
write unit tests with mocks for easy and quick start.
- When you test integrations, use existing framework.
- When you test solution draft, include automated checks in pr.
- When issue is unclear, write comment on issue asking questions.
- When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help.
- When you need human help, use gh pr comment 29 --body "your message" to comment on existing PR.
Preparing pull request.
- When you code, follow contributing guidelines.
- When you commit, write clear message.
- When you need examples of style, use gh pr list --repo VisageDvachevsky/VEIL --state merged --search [keywords].
- When you open pr, describe solution draft and include tests.
- When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release.
- When you update existing pr 29, use gh pr edit to modify title and description.
- When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing.
- When you finalize the pull request:
follow style from merged prs for code, title, and description,
make sure no uncommitted changes corresponding to the original requirements are left behind,
make sure the default branch is merged to the pull request's branch,
make sure all CI checks passing if they exist before you finish,
double-check that all changes in the pull request answer to original requirements of the issue,
make sure no new new bugs are introduced in pull request by carefully reading gh pr diff,
make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.
- When you finish implementation, use gh pr ready 29.
Workflow and collaboration.
- When you check branch, verify with git branch --show-current.
- When you push, push only to branch issue-28-1c89182056aa.
- When you finish, create a pull request from branch issue-28-1c89182056aa. (Note: PR 29 already exists, update it instead)
- When you organize workflow, use pull requests instead of direct merges to default branch (main or master).
- When you manage commits, preserve commit history for later analysis.
- When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.
- When you face conflict that you cannot resolve yourself, ask for help.
- When you collaborate, respect branch protections by working only on issue-28-1c89182056aa.
- When you mention result, include pull request url or comment url.
- When you need to create pr, remember pr 29 already exists for this branch.
Self review.
- When you check your solution draft, run all tests locally.
- When you compare with repo style, use gh pr diff [number].
- When you finalize, confirm code, tests, and description are consistent.
[2025-12-07T21:36:36.905Z] [INFO] ---END SYSTEM PROMPT---
[2025-12-07T21:36:36.905Z] [INFO]
[2025-12-07T21:36:36.906Z] [INFO] 📋 Command details:
[2025-12-07T21:36:36.906Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1765143378997
[2025-12-07T21:36:36.906Z] [INFO] 🌿 Branch: issue-28-1c89182056aa
[2025-12-07T21:36:36.906Z] [INFO] 🤖 Model: Claude SONNET
[2025-12-07T21:36:36.907Z] [INFO] 🍴 Fork: konard/VisageDvachevsky-VEIL
[2025-12-07T21:36:36.907Z] [INFO]
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"content": "title:\tWindows-клиент и Windows-сервер VEIL с GUI\nstate:\tOPEN\nauthor:\tVisageDvachevsky\nlabels:\t\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t28\n--\nТехническое задание (ТЗ): Windows-клиент и Windows-сервер VEIL с GUI\n1. Цели проекта\n\nСоздать полноценное Windows-приложение для VEIL (клиент и сервер), включающее:\n\nНативный GUI (WinUI 3 / Qt6)\n\nУправление VPN-подключением через системный TUN-драйвер\n\nВизуализацию состояния туннеля, статистики, логов, алгоритмов обфускации\n\nНастройки профилей: транспорт, криптография, DPI-обход, маршруты, логирование\n\nWindows-сервис для фоновой работы\n\nУстановщик, автообновления, диагностика проблем\n\nЦель — получить продукт уровня Windscribe / Outline / WireGuard Windows, но поверх твоего кастомного VEIL-протокола.\n\n2. Архитектура Windows-версии\n\nWindows-версия будет состоять из трёх частей:\n\n┌──────────────────────────────┐\n│ 1. GUI Application (Frontend)│\n│ WinUI 3 / Qt6 │\n└───────────────┬──────────────┘\n │ IPC (named pipes / gRPC over npipe)\n┌───────────────▼──────────────┐\n│ 2. Core Service (Backend) │\n│ Windows Service + VEIL core │\n│ Owns: TUN, UDP socket, logic │\n└───────────────┬──────────────┘\n │ Kernel-mode driver\n┌───────────────▼──────────────┐\n│3. wintun.sys (WireGuard TUN) │\n│ Only for virtual interface │\n└───────────────────────────────┘\n\n2.1. Почему такая схема?\n\nGUI должен быть полностью отделён от VPN-логики (лучшие практики безопасности).\n\nVEIL работает в виде Windows-сервиса → автозапуск, стабильность, отсутствие UAC.\n\nTUN — через проверенный драйвер wintun.sys (WireGuard), чтобы не писать свой.\n\n3. Функциональные требования\n3.1. Клиентский GUI\nОсновные возможности:\n\nОдин клик — подключиться/отключиться\n\nОтображение:\n\nIP-адреса туннеля\n\nСкорости (up/down)\n\nПакетов (sent/received/lost)\n\nСтатуса обфускации\n\nАктивных маршрутов\n\nСостояния криптографической сессии\n\nВремени подключения\n\nНастройки:\n\nАдрес сервера, порт, PSK, seed\n\nВыбор обфускационного профиля\n\nВыбор режима DPI обхода (см ниже)\n\nMTU, TUN device\n\nАвтоподключение при старте Windows\n\nЛогирование уровня INFO/WARN/DEBUG\n\nАвтоподдержание соединения\n\nПрофили подключений (\"Work\", \"Home VPN\", \"Stealth 1\", etc.)\n\nДополнительно:\n\nDrag-and-drop импорта профиля\n\nЭкспорт настроек\n\nТрей-иконка\n\nТемы (Light/Dark)\n\n3.2. VEIL Windows-Service\n\nЗапускается как:\n\nVEILService.exe\n\n\nОтвечает за всё:\n\nИнициализация TUN устройства через wintun.dll\n\nЗапуск TransportSession + EventLoop\n\nUDP-транспорт\n\nОбработка маршрутов через WinAPI (IP Helper API)\n\nПерезапуск туннеля при сбоях\n\nОграничение привилегий (service isolation)\n\nIPC с GUI через Named Pipes\n\nСервис работает без GUI, может работать вообще без установленного клиента.\n\n3.3. DPI-Обходные режимы\n\nДобавить несколько режимов, выбираемых в GUI:\n\nMode A — IoT Mimic\n\nПакеты выглядят как телеметрия от \"умной лампочки\":\n\nheartbeat каждые 10–20 сек\n\nмаленькие payload’ы\n\nизменяемые размеры\n\nхарактерные bursts\n\nMode B — QUIC-Like\n\nИмитация QUIC:\n\nбольшие начальные крипто-пакеты\n\njitter интервалов\n\npadding до похожих MTU\n\npacket pacing профиль как у Chrome\n\nMode C — Random-Noise Stealth\n\nМаксимальная энтропия + максимальный jitter:\n\nимитация плохого Wi-Fi\n\nагрессивная фрагментация\n\nотключение heartbeats\n\nMode D — “Trickle Mode”\n\nМедленный, почти незаметный канал:\n\nдля жёсткого DPI\n\nограничение скорости до 10–50 kbit/s\n\nрандомизация задержек до 500ms\n\n3.4. Настройка маршрутов (routing subsystem)\n\nGUI должен позволять:\n\nПолный туннель (default route)\n\nSplit-tunneling: список приложений / IP-диапазонов\n\nBypass local network (Windows option)\n\nDNS через туннель (VEIL DNS forwarder)\n\nMulti-server failover (сайт 1–2–3)\n\n4. Дополнительные функции (рекомендуемые)\n4.1. Auto-Update Module\n\nПроверка обновлений по HTTPS\n\nПодпись бинарей Ed25519\n\nОбновление сервиса и GUI без перезагрузки\n\n4.2. Crash Reporter\n\nСбор стек-трейсов\n\nОтправка в telemetry endpoint\n\nИнтеграция с Sentry\n\n4.3. Diagnostics Tool\n\nВ GUI:\n\nтест UDP connect\n\nтест MTU discovery\n\nтест DPI blocking\n\nгенерация отчёта (pcap, logs, config)",
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"content": " 1→# VEIL\n 2→\n 3→A secure UDP-based transport protocol with cryptographic handshakes and encrypted data transfer.\n 4→\n 5→## Building\n 6→\n 7→### Prerequisites\n 8→\n 9→- CMake 3.20+\n 10→- C++20 compatible compiler (GCC 11+ or Clang 14+)\n 11→- libsodium\n 12→- Qt6 (optional, for GUI applications)\n 13→\n 14→### Build Commands\n 15→\n 16→```bash\n 17→# Configure and build debug version\n 18→cmake --preset debug\n 19→cmake --build build/debug -j$(nproc)\n 20→\n 21→# Configure and build release version\n 22→cmake --preset release\n 23→cmake --build build/release -j$(nproc)\n 24→```\n 25→\n 26→## Testing\n 27→\n 28→### Running Unit and Integration Tests\n 29→\n 30→```bash\n 31→# Run all tests\n 32→ctest --preset debug --output-on-failure\n 33→\n 34→# Run specific test suite\n 35→./build/debug/tests/unit/veil_unit_tests --gtest_filter=\"PacketTests.*\"\n 36→./build/debug/tests/integration/veil_integration_transport\n 37→```\n 38→\n 39→### Network Emulation Testing (netem)\n 40→\n 41→The integration tests support network emulation via Linux TC (Traffic Control) for testing under realistic network conditions. Netem tests require root privileges.\n 42→\n 43→#### Setup netem (requires root)\n 44→\n 45→```bash\n 46→# Add 50ms delay with 10ms jitter on loopback\n 47→sudo tc qdisc add dev lo root netem delay 50ms 10ms\n 48→\n 49→# Add 1% packet loss\n 50→sudo tc qdisc change dev lo root netem delay 50ms 10ms loss 1%\n 51→\n 52→# Remove netem when done\n 53→sudo tc qdisc del dev lo root\n 54→```\n 55→\n 56→#### Running netem tests\n 57→\n 58→```bash\n 59→# Skip netem tests (default in CI)\n 60→export VEIL_SKIP_NETEM=1\n 61→ctest --preset debug\n 62→\n 63→# Enable netem tests (requires root and netem setup)\n 64→unset VEIL_SKIP_NETEM\n 65→sudo ./build/debug/tests/integration/veil_integration_transport\n 66→```\n 67→\n 68→## Project Structure\n 69→\n 70→```\n 71→src/\n 72→├── common/\n 73→│ ├── config/ # Configuration parsing\n 74→│ ├── crypto/ # Cryptographic primitives (AEAD, HKDF)\n 75→│ ├── handshake/ # Handshake protocol implementation\n 76→│ ├── ipc/ # IPC protocol for GUI/daemon communication\n 77→│ ├── logging/ # Logging utilities\n 78→│ ├── packet/ # Packet builder and parser\n 79→│ └── utils/ # Utilities (random, rate limiting)\n 80→├── transport/\n 81→│ ├── mux/ # Multiplexing codec and retransmission\n 82→│ ├── session/ # Transport session management\n 83→│ └── udp_socket/ # UDP socket wrapper\n 84→├── client/ # CLI client application\n 85→├── server/ # CLI server application\n 86→├── gui-client/ # Qt-based GUI client (optional)\n 87→└── gui-server/ # Qt-based GUI server (optional)\n 88→tests/\n 89→├── unit/ # Unit tests\n 90→└── integration/ # Integration tests\n 91→```\n 92→\n 93→## License\n 94→\n 95→See LICENSE file.\n 96→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "# VEIL\n\nA secure UDP-based transport protocol with cryptographic handshakes and encrypted data transfer.\n\n## Building\n\n### Prerequisites\n\n- CMake 3.20+\n- C++20 compatible compiler (GCC 11+ or Clang 14+)\n- libsodium\n- Qt6 (optional, for GUI applications)\n\n### Build Commands\n\n```bash\n# Configure and build debug version\ncmake --preset debug\ncmake --build build/debug -j$(nproc)\n\n# Configure and build release version\ncmake --preset release\ncmake --build build/release -j$(nproc)\n```\n\n## Testing\n\n### Running Unit and Integration Tests\n\n```bash\n# Run all tests\nctest --preset debug --output-on-failure\n\n# Run specific test suite\n./build/debug/tests/unit/veil_unit_tests --gtest_filter=\"PacketTests.*\"\n./build/debug/tests/integration/veil_integration_transport\n```\n\n### Network Emulation Testing (netem)\n\nThe integration tests support network emulation via Linux TC (Traffic Control) for testing under realistic network conditions. Netem tests require root privileges.\n\n#### Setup netem (requires root)\n\n```bash\n# Add 50ms delay with 10ms jitter on loopback\nsudo tc qdisc add dev lo root netem delay 50ms 10ms\n\n# Add 1% packet loss\nsudo tc qdisc change dev lo root netem delay 50ms 10ms loss 1%\n\n# Remove netem when done\nsudo tc qdisc del dev lo root\n```\n\n#### Running netem tests\n\n```bash\n# Skip netem tests (default in CI)\nexport VEIL_SKIP_NETEM=1\nctest --preset debug\n\n# Enable netem tests (requires root and netem setup)\nunset VEIL_SKIP_NETEM\nsudo ./build/debug/tests/integration/veil_integration_transport\n```\n\n## Project Structure\n\n```\nsrc/\n├── common/\n│ ├── config/ # Configuration parsing\n│ ├── crypto/ # Cryptographic primitives (AEAD, HKDF)\n│ ├── handshake/ # Handshake protocol implementation\n│ ├── ipc/ # IPC protocol for GUI/daemon communication\n│ ├── logging/ # Logging utilities\n│ ├── packet/ # Packet builder and parser\n│ └── utils/ # Utilities (random, rate limiting)\n├── transport/\n│ ├── mux/ # Multiplexing codec and retransmission\n│ ├── session/ # Transport session management\n│ └── udp_socket/ # UDP socket wrapper\n├── client/ # CLI client application\n├── server/ # CLI server application\n├── gui-client/ # Qt-based GUI client (optional)\n└── gui-server/ # Qt-based GUI server (optional)\ntests/\n├── unit/ # Unit tests\n└── integration/ # Integration tests\n```\n\n## License\n\nSee LICENSE file.\n",
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"content": " 1→add_library(veil_common STATIC\n 2→ common/crypto/random.cpp\n 3→ common/crypto/crypto_engine.cpp\n 4→ common/logging/logger.cpp\n 5→ common/logging/constrained_logger.cpp\n 6→ common/config/app_config.cpp\n 7→ common/packet/packet_builder.cpp\n 8→ common/session/replay_window.cpp\n 9→ common/session/session_rotator.cpp\n 10→ common/session/session_lifecycle.cpp\n 11→ common/session/idle_timeout.cpp\n 12→ common/handshake/handshake_processor.cpp\n 13→ common/handshake/handshake_replay_cache.cpp\n 14→ common/utils/rate_limiter.cpp\n 15→ common/utils/timer_heap.cpp\n 16→ common/utils/advanced_rate_limiter.cpp\n 17→ common/utils/graceful_degradation.cpp\n 18→ common/metrics/metrics.cpp\n 19→ common/obfuscation/obfuscation_profile.cpp\n 20→ common/signal/signal_handler.cpp\n 21→ common/daemon/daemon.cpp\n 22→ common/ipc/ipc_protocol.cpp\n 23→ common/ipc/ipc_socket.cpp\n 24→ transport/udp_socket/udp_socket.cpp\n 25→ transport/mux/ack_bitmap.cpp\n 26→ transport/mux/reorder_buffer.cpp\n 27→ transport/mux/fragment_reassembly.cpp\n 28→ transport/mux/mux_codec.cpp\n 29→ transport/mux/retransmit_buffer.cpp\n 30→ transport/mux/ack_scheduler.cpp\n 31→ transport/session/transport_session.cpp\n 32→ transport/event_loop/event_loop.cpp\n 33→ transport/stats/transport_stats.cpp\n 34→ tun/tun_device.cpp\n 35→ tun/routing.cpp\n 36→ tun/mtu_discovery.cpp\n 37→ tunnel/tunnel.cpp\n 38→ tunnel/session_migration.cpp\n 39→ server/session_table.cpp\n 40→)\n 41→\n 42→target_include_directories(veil_common PUBLIC ${CMAKE_CURRENT_SOURCE_DIR})\n 43→target_link_libraries(veil_common\n 44→ PUBLIC\n 45→ Sodium::Sodium\n 46→ spdlog::spdlog\n 47→ fmt::fmt\n 48→ CLI11::CLI11\n 49→ nlohmann_json::nlohmann_json\n 50→)\n 51→\n 52→veil_set_warnings(veil_common)\n 53→\n 54→if(TARGET sodium_ep)\n 55→ add_dependencies(veil_common sodium_ep)\n 56→endif()\n 57→\n 58→# Client executable.\n 59→add_executable(veil-client\n 60→ client/main.cpp\n 61→ client/client_config.cpp\n 62→)\n 63→\n 64→target_link_libraries(veil-client PRIVATE veil_common)\n 65→veil_set_warnings(veil-client)\n 66→\n 67→# Server executable.\n 68→add_executable(veil-server\n 69→ server/main.cpp\n 70→ server/server_config.cpp\n 71→)\n 72→\n 73→target_link_libraries(veil-server PRIVATE veil_common)\n 74→veil_set_warnings(veil-server)\n 75→\n 76→# GUI applications (optional, require Qt6)\n 77→option(VEIL_BUILD_GUI \"Build Qt GUI applications\" ON)\n 78→\n 79→if(VEIL_BUILD_GUI)\n 80→ add_subdirectory(gui-client)\n 81→ add_subdirectory(gui-server)\n 82→endif()\n 83→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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[2025-12-07T21:36:59.701Z] [INFO] {
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[2025-12-07T21:37:02.054Z] [INFO] {
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[2025-12-07T21:37:14.996Z] [INFO] {
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"content": " 1→# VEIL Client GUI Application (Qt/C++)\n 2→\n 3→find_package(Qt6 COMPONENTS Core Widgets Network QUIET)\n 4→\n 5→if(NOT Qt6_FOUND)\n 6→ message(STATUS \"Qt6 not found, client GUI will not be built\")\n 7→ message(STATUS \"To build the GUI, install Qt6: sudo apt-get install qt6-base-dev\")\n 8→ return()\n 9→endif()\n 10→\n 11→set(CMAKE_AUTOMOC ON)\n 12→set(CMAKE_AUTORCC ON)\n 13→set(CMAKE_AUTOUIC ON)\n 14→\n 15→add_executable(veil-client-gui\n 16→ main.cpp\n 17→ mainwindow.cpp\n 18→ mainwindow.h\n 19→ connection_widget.cpp\n 20→ connection_widget.h\n 21→ settings_widget.cpp\n 22→ settings_widget.h\n 23→ diagnostics_widget.cpp\n 24→ diagnostics_widget.h\n 25→ ipc_client_manager.cpp\n 26→ ipc_client_manager.h\n 27→)\n 28→\n 29→target_link_libraries(veil-client-gui\n 30→ PRIVATE\n 31→ veil_common\n 32→ Qt6::Core\n 33→ Qt6::Widgets\n 34→ Qt6::Network\n 35→)\n 36→\n 37→veil_set_warnings(veil-client-gui)\n 38→\n 39→install(TARGETS veil-client-gui\n 40→ RUNTIME DESTINATION bin\n 41→)\n 42→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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[2025-12-07T21:37:20.439Z] [INFO] {
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"content": " 1→#pragma once\n 2→\n 3→#include <QMainWindow>\n 4→#include <QStackedWidget>\n 5→#include <memory>\n 6→\n 7→namespace veil::gui {\n 8→\n 9→class ConnectionWidget;\n 10→class SettingsWidget;\n 11→class DiagnosticsWidget;\n 12→class IpcClientManager;\n 13→\n 14→class MainWindow : public QMainWindow {\n 15→ Q_OBJECT\n 16→\n 17→ public:\n 18→ explicit MainWindow(QWidget* parent = nullptr);\n 19→ ~MainWindow() override;\n 20→\n 21→ private slots:\n 22→ void showConnectionView();\n 23→ void showSettingsView();\n 24→ void showDiagnosticsView();\n 25→\n 26→ private:\n 27→ void setupUi();\n 28→ void setupMenuBar();\n 29→ void applyDarkTheme();\n 30→\n 31→ QStackedWidget* stackedWidget_;\n 32→ ConnectionWidget* connectionWidget_;\n 33→ SettingsWidget* settingsWidget_;\n 34→ DiagnosticsWidget* diagnosticsWidget_;\n 35→ std::unique_ptr<IpcClientManager> ipcManager_;\n 36→};\n 37→\n 38→} // namespace veil::gui\n 39→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "title:\tUI Implementation: Qt/C++ GUI with IPC layer for VEIL client and server\nstate:\tMERGED\nauthor:\tkonard\nlabels:\t\nassignees:\t\nreviewers:\tchatgpt-codex-connector (Commented)\nprojects:\t\nmilestone:\t\nnumber:\t25\nurl:\thttps://github.com/VisageDvachevsky/VEIL/pull/25\nadditions:\t2044\ndeletions:\t0\nauto-merge:\tdisabled\n--\n## 🎨 UI Implementation for VEIL VPN\n\nThis pull request implements the Qt/C++ graphical user interface for VEIL client and server as specified in issue #24.\n\n### 📋 Issue Reference\nFixes #24\n\n### ✅ Implementation Status\n\n#### Core Infrastructure ✓\n- [x] IPC protocol design (JSON over Unix Domain Sockets)\n- [x] IPC server implementation for daemons\n- [x] IPC client implementation for GUI applications \n- [x] JSON serialization/deserialization (nlohmann/json)\n- [x] CMake integration with Qt6\n- [x] Systemd service files\n\n#### Client GUI ✓\n- [x] Main window with dark theme (per client_ui_design.md)\n- [x] Connection widget (Main Screen)\n - Connection states (Disconnected/Connecting/Connected/Reconnecting/Error)\n - Session info display (ID, server, latency, throughput, uptime)\n - Connect/Disconnect button with visual state transitions\n- [x] Settings widget\n - Server configuration (address, port)\n - Routing options (route all traffic, split tunnel)\n - Connection settings (auto-reconnect, intervals)\n - Advanced options (obfuscation, logging, developer mode)\n- [x] Diagnostics widget\n - Protocol metrics display\n - Reassembly statistics\n - Live event log\n - Export diagnostics functionality\n\n#### Server GUI ✓\n- [x] Main window with dark theme\n- [x] Server status widget (running state, port, active clients, uptime)\n- [x] Client list widget (table view of connected sessions)\n- [x] IPC client manager for daemon communication\n\n#### Design Compliance ✓\n- [x] Dark theme color palette (#1a1d23 background, #eceff4 text)\n- [x] Glassmorphism effect on UI cards\n- [x] Gradient buttons (blue→teal gradient)\n- [x] Monospace fonts for technical data\n- [x] Responsive layout (min 480×720px)\n\n### 🏗️ Architecture\n\n```\n┌─────────────────┐ ┌──────────────────┐\n│ veil-client │←──IPC────→│ veil-client-gui │\n│ (daemon) │ (Unix) │ (Qt/C++) │\n└─────────────────┘ └──────────────────┘\n\n┌─────────────────┐ ┌──────────────────┐\n│ veil-server │←──IPC────→│ veil-server-gui │\n│ (daemon) │ (Unix) │ (Qt/C++) │\n└─────────────────┘ └──────────────────┘\n```\n\n**IPC Protocol:**\n- Transport: Unix domain sockets (/tmp/veil-client.sock, /tmp/veil-server.sock)\n- Format: Newline-delimited JSON messages\n- Message types: Command, Event, Response, Error\n- Request-response correlation via message IDs\n\n### 📦 Components Added\n\n#### IPC Layer (`src/common/ipc/`)\n- `ipc_protocol.h/cpp` - Protocol definitions, data structures, JSON serialization\n- `ipc_socket.h/cpp` - Unix socket server/client implementation\n\n#### Client GUI (`src/gui-client/`)\n- `mainwindow` - Main application window, view navigation\n- `connection_widget` - Main screen (connection state, session info)\n- `settings_widget` - Settings screen (configuration UI)\n- `diagnostics_widget` - Diagnostics screen (metrics, logs)\n- `ipc_client_manager` - Daemon communication handler\n\n#### Server GUI (`src/gui-server/`)\n- `mainwindow` - Main application window\n- `server_status_widget` - Server status display\n- `client_list_widget` - Connected clients table\n- `ipc_client_manager` - Daemon communication handler\n\n#### System Integration\n- `configs/veil-client.service` - Systemd service for client daemon\n- `configs/veil-server.service` - Systemd service for server daemon\n\n### 🔧 Build Requirements\n\n**Required:**\n- CMake 3.20+\n- C++20 compiler\n- libsodium\n\n**Optional (for GUI):**\n- Qt6 (qt6-base-dev on Ubuntu/Debian)\n\n**Build without GUI:**\n```bash\ncmake --preset debug -DVEIL_BUILD_GUI=OFF\ncmake --build build/debug\n```\n\n**Build with GUI:**\n```bash\n# Install Qt6 first\nsudo apt-get install qt6-base-dev\n\ncmake --preset debug\ncmake --build build/debug\n\n# Run GUI applications\n./build/debug/src/gui-client/veil-client-gui\n./build/debug/src/gui-server/veil-server-gui\n```\n\n### 📝 Implementation Notes\n\n1. **IPC Protocol** - The protocol is fully designed but message serialization is partially implemented (basic structure in place, full variant serialization to be completed)\n\n2. **Daemon Integration** - GUI applications compile and run, but daemon-side IPC servers need to be integrated into veil-client and veil-server main loops\n\n3. **Visual Design** - Core styling matches client_ui_design.md specification. Advanced effects (animations, glassmorphism blur) use Qt stylesheets\n\n4. **Systemd Services** - Service files include security hardening (capability restrictions, protected filesystem)\n\n### 🚀 Next Steps\n\nTo complete the full UI integration:\n\n1. **Integrate IPC server into daemons**\n - Add IPC server startup in veil-client main.cpp\n - Add IPC server startup in veil-server main.cpp\n - Implement message handlers for commands\n - Wire up event broadcasting for state changes\n\n2. **Complete IPC serialization**\n - Implement full variant serialization for all message types\n - Add proper error handling for malformed messages\n\n3. **Wire up GUI to real data**\n - Connect IPC manager to UI widgets\n - Implement automatic metrics updates (1 second interval)\n - Add real-time event log streaming\n\n4. **Polish and testing**\n - Add unit tests for IPC protocol\n - Add integration tests for GUI-daemon communication\n - Implement missing UI features (animations, state transitions)\n - Add error dialogs and user feedback\n\n5. **Documentation**\n - User guide for GUI applications\n - Systemd service installation instructions\n - IPC protocol specification document\n\n### 📊 Statistics\n\n- **Files added:** 30\n- **Lines of code:** ~2000\n- **Build status:** ✓ All existing tests pass\n- **GUI framework:** Qt/C++ (as required)\n\n---\n\n**Status:** Ready for review and further development. 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Advanced effects (animations, glassmorphism blur) use Qt stylesheets\n\n4. **Systemd Services** - Service files include security hardening (capability restrictions, protected filesystem)\n\n### 🚀 Next Steps\n\nTo complete the full UI integration:\n\n1. **Integrate IPC server into daemons**\n - Add IPC server startup in veil-client main.cpp\n - Add IPC server startup in veil-server main.cpp\n - Implement message handlers for commands\n - Wire up event broadcasting for state changes\n\n2. **Complete IPC serialization**\n - Implement full variant serialization for all message types\n - Add proper error handling for malformed messages\n\n3. **Wire up GUI to real data**\n - Connect IPC manager to UI widgets\n - Implement automatic metrics updates (1 second interval)\n - Add real-time event log streaming\n\n4. **Polish and testing**\n - Add unit tests for IPC protocol\n - Add integration tests for GUI-daemon communication\n - Implement missing UI features (animations, state transitions)\n - Add error dialogs and user feedback\n\n5. **Documentation**\n - User guide for GUI applications\n - Systemd service installation instructions\n - IPC protocol specification document\n\n### 📊 Statistics\n\n- **Files added:** 30\n- **Lines of code:** ~2000\n- **Build status:** ✓ All existing tests pass\n- **GUI framework:** Qt/C++ (as required)\n\n---\n\n**Status:** Ready for review and further development. Core infrastructure is complete and functional.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
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"content": "Отлично, теперь у меня достаточно информации для составления полноценного ТЗ.\n\n***\n\n# Техническое задание: VPN-протокол VEIL (Variable Entropy Identification Layer)\n\n## 1. Общая информация\n\n**Название проекта**: VEIL — анти-DPI VPN-протокол нового поколения \n**Язык реализации**: C++17 или выше \n**Целевая платформа**: Linux (основной), Windows (опционально) \n**Тип приложения**: Клиент-серверное UDP-приложение \n**Цель**: Создать VPN-протокол, не обнаруживаемый современными системами DPI/ТСПУ\n\n***\n\n## 2. Ключевые требования\n\n### 2.1. Функциональные требования\n\n#### 2.1.1. Обход DPI-систем\n- Протокол НЕ должен иметь статических сигнатур в первых пакетах\n- Каждый клиент генерирует уникальный профиль трафика (на основе seed)\n- Packet size distribution должен быть переменным и уникальным для каждого клиента\n- Timing между пакетами должен имитировать естественный IoT/сенсорный трафик\n\n#### 2.1.2. Криптография\n- Использовать X25519 для key exchange\n- Использовать ChaCha20-Poly1305 AEAD для шифрования данных\n- Обеспечить Forward Secrecy через регулярную ротацию сессионных ключей\n- Защита от replay атак через timestamp-based tokens\n\n#### 2.1.3. Транспортный уровень\n- UDP как базовый транспорт\n- Собственный механизм selective retransmission (не TCP, не QUIC)\n- Поддержка мультиплексирования нескольких логических потоков\n- Out-of-order delivery с последующей переупорядочиванием\n\n#### 2.1.4. Anti-probing\n- Сервер молча игнорирует пакеты без корректного криптографического токена\n- Нет ICMP/UDP ответов на неправильные пакеты\n- Rate limiting для защиты от flooding\n\n### 2.2. Нефункциональные требования\n\n#### 2.2.1. Производительность\n- Throughput: не менее 500 Mbps на современном CPU (без AES-NI)\n- Latency: handshake не более 150 мс (при RTT 50 мс)\n- Memory footprint: не более 50 MB на 1000 активных соединений\n\n#### 2.2.2. Безопасность\n- Отсутствие известных криптографических уязвимостей\n- Защита от timing attacks через constant-time операции\n- Невозможность fingerprinting через активный probing\n\n#### 2.2.3. Масштабируемость\n- Поддержка 10,000+ одновременных соединений на сервере\n- Возможность горизонтального масштабирования (stateless session restoration)\n\n***\n\n## 3. Архитектура системы\n\n### 3.1. Общая структура\n\n```\n┌──────────────────────────────────────────────────────────┐\n│ VEIL PROTOCOL STACK │\n├──────────────────────────────────────────────────────────┤\n│ │\n│ ┌─────────────────────────────────────────────────┐ │\n│ │ L3: Traffic Morphing Layer (Obfuscation) │ │\n│ │ - Packet size randomization │ │\n│ │ - Timing jitter (Poisson + seed-based) │ │\n│ │ - Heartbeat frames (fake sensor telemetry) │ │\n│ └─────────────────────────────────────────────────┘ │\n│ ↓ │\n│ ┌─────────────────────────────────────────────────┐ │\n│ │ L2: Transport Layer (Custom UDP reliability) │ │\n│ │ - Stream multiplexing (VLQ encoding) │ │\n│ │ - Selective ACK mechanism │ │\n│ │ - Fragment reassembly │ │\n│ └─────────────────────────────────────────────────┘ │\n│ ↓ │\n│ ┌─────────────────────────────────────────────────┐ │\n│ │ L1: Crypto Layer (Handshake + Encryption) │ │\n│ │ - X25519 key exchange │ │\n│ │ - ChaCha20-Poly1305 AEAD │ │\n│ │ - Session key rotation (30 sec intervals) │ │\n│ └─────────────────────────────────────────────────┘ │\n│ ↓ │\n│ ┌─────────────────────────────────────────────────┐ │\n│ │ L0: UDP Socket Layer │ │\n│ │ - Platform-agnostic socket abstraction │ │\n│ │ - Non-blocking I/O (epoll/IOCP) │ │\n│ └─────────────────────────────────────────────────┘ │\n└──────────────────────────────────────────────────────────┘\n```\n\n### 3.2. Компоненты системы",
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"content": " 1→#pragma once\n 2→\n 3→#include <cstddef>\n 4→#include <cstdint>\n 5→#include <functional>\n 6→#include <optional>\n 7→#include <span>\n 8→#include <string>\n 9→#include <system_error>\n 10→#include <vector>\n 11→\n 12→namespace veil::tun {\n 13→\n 14→// Configuration for TUN device.\n 15→struct TunConfig {\n 16→ // Device name (e.g., \"veil0\"). Empty for system-assigned name.\n 17→ std::string device_name;\n 18→ // IP address in CIDR notation or dotted-decimal.\n 19→ std::string ip_address;\n 20→ // Netmask (e.g., \"255.255.255.0\").\n 21→ std::string netmask{\"255.255.255.0\"};\n 22→ // MTU size.\n 23→ int mtu{1400};\n 24→ // Enable packet information header (struct tun_pi).\n 25→ bool packet_info{false};\n 26→ // Bring interface up automatically.\n 27→ bool bring_up{true};\n 28→};\n 29→\n 30→// Statistics for TUN device operations.\n 31→struct TunStats {\n 32→ std::uint64_t packets_read{0};\n 33→ std::uint64_t packets_written{0};\n 34→ std::uint64_t bytes_read{0};\n 35→ std::uint64_t bytes_written{0};\n 36→ std::uint64_t read_errors{0};\n 37→ std::uint64_t write_errors{0};\n 38→};\n 39→\n 40→// RAII wrapper for Linux TUN device.\n 41→// Provides interface for reading/writing IP packets.\n 42→class TunDevice {\n 43→ public:\n 44→ using ReadHandler = std::function<void(std::span<const std::uint8_t>)>;\n 45→\n 46→ TunDevice();\n 47→ ~TunDevice();\n 48→\n 49→ // Non-copyable, movable.\n 50→ TunDevice(const TunDevice&) = delete;\n 51→ TunDevice& operator=(const TunDevice&) = delete;\n 52→ TunDevice(TunDevice&& other) noexcept;\n 53→ TunDevice& operator=(TunDevice&& other) noexcept;\n 54→\n 55→ // Open and configure the TUN device.\n 56→ // Returns true on success, sets ec on failure.\n 57→ bool open(const TunConfig& config, std::error_code& ec);\n 58→\n 59→ // Close the TUN device.\n 60→ void close();\n 61→\n 62→ // Check if device is open.\n 63→ bool is_open() const { return fd_ >= 0; }\n 64→\n 65→ // Get file descriptor for event loop integration.\n 66→ int fd() const { return fd_; }\n 67→\n 68→ // Get the actual device name (may differ from requested if empty).\n 69→ const std::string& device_name() const { return device_name_; }\n 70→\n 71→ // Read a packet from the TUN device.\n 72→ // Returns empty optional on EAGAIN/EWOULDBLOCK, nullopt with ec set on error.\n 73→ std::optional<std::vector<std::uint8_t>> read(std::error_code& ec);\n 74→\n 75→ // Read into a provided buffer.\n 76→ // Returns number of bytes read, or -1 on error.\n 77→ std::ptrdiff_t read_into(std::span<std::uint8_t> buffer, std::error_code& ec);\n 78→\n 79→ // Write a packet to the TUN device.\n 80→ // Returns true on success.\n 81→ bool write(std::span<const std::uint8_t> packet, std::error_code& ec);\n 82→\n 83→ // Poll for incoming packets with timeout.\n 84→ bool poll(const ReadHandler& handler, int timeout_ms, std::error_code& ec);\n 85→\n 86→ // Get statistics.\n 87→ const TunStats& stats() const { return stats_; }\n 88→\n 89→ // Set MTU dynamically.\n 90→ bool set_mtu(int mtu, std::error_code& ec);\n 91→\n 92→ // Set interface up/down.\n 93→ bool set_up(bool up, std::error_code& ec);\n 94→\n 95→ private:\n 96→ // Configure IP address and netmask using ioctl.\n 97→ bool configure_address(const TunConfig& config, std::error_code& ec);\n 98→\n 99→ // Set MTU using ioctl.\n 100→ bool configure_mtu(int mtu, std::error_code& ec);\n 101→\n 102→ // Bring interface up.\n 103→ bool bring_interface_up(std::error_code& ec);\n 104→\n 105→ int fd_{-1};\n 106→ std::string device_name_;\n 107→ TunStats stats_;\n 108→ bool packet_info_{false};\n 109→};\n 110→\n 111→} // namespace veil::tun\n 112→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#pragma once\n\n#include <cstddef>\n#include <cstdint>\n#include <functional>\n#include <optional>\n#include <span>\n#include <string>\n#include <system_error>\n#include <vector>\n\nnamespace veil::tun {\n\n// Configuration for TUN device.\nstruct TunConfig {\n // Device name (e.g., \"veil0\"). Empty for system-assigned name.\n std::string device_name;\n // IP address in CIDR notation or dotted-decimal.\n std::string ip_address;\n // Netmask (e.g., \"255.255.255.0\").\n std::string netmask{\"255.255.255.0\"};\n // MTU size.\n int mtu{1400};\n // Enable packet information header (struct tun_pi).\n bool packet_info{false};\n // Bring interface up automatically.\n bool bring_up{true};\n};\n\n// Statistics for TUN device operations.\nstruct TunStats {\n std::uint64_t packets_read{0};\n std::uint64_t packets_written{0};\n std::uint64_t bytes_read{0};\n std::uint64_t bytes_written{0};\n std::uint64_t read_errors{0};\n std::uint64_t write_errors{0};\n};\n\n// RAII wrapper for Linux TUN device.\n// Provides interface for reading/writing IP packets.\nclass TunDevice {\n public:\n using ReadHandler = std::function<void(std::span<const std::uint8_t>)>;\n\n TunDevice();\n ~TunDevice();\n\n // Non-copyable, movable.\n TunDevice(const TunDevice&) = delete;\n TunDevice& operator=(const TunDevice&) = delete;\n TunDevice(TunDevice&& other) noexcept;\n TunDevice& operator=(TunDevice&& other) noexcept;\n\n // Open and configure the TUN device.\n // Returns true on success, sets ec on failure.\n bool open(const TunConfig& config, std::error_code& ec);\n\n // Close the TUN device.\n void close();\n\n // Check if device is open.\n bool is_open() const { return fd_ >= 0; }\n\n // Get file descriptor for event loop integration.\n int fd() const { return fd_; }\n\n // Get the actual device name (may differ from requested if empty).\n const std::string& device_name() const { return device_name_; }\n\n // Read a packet from the TUN device.\n // Returns empty optional on EAGAIN/EWOULDBLOCK, nullopt with ec set on error.\n std::optional<std::vector<std::uint8_t>> read(std::error_code& ec);\n\n // Read into a provided buffer.\n // Returns number of bytes read, or -1 on error.\n std::ptrdiff_t read_into(std::span<std::uint8_t> buffer, std::error_code& ec);\n\n // Write a packet to the TUN device.\n // Returns true on success.\n bool write(std::span<const std::uint8_t> packet, std::error_code& ec);\n\n // Poll for incoming packets with timeout.\n bool poll(const ReadHandler& handler, int timeout_ms, std::error_code& ec);\n\n // Get statistics.\n const TunStats& stats() const { return stats_; }\n\n // Set MTU dynamically.\n bool set_mtu(int mtu, std::error_code& ec);\n\n // Set interface up/down.\n bool set_up(bool up, std::error_code& ec);\n\n private:\n // Configure IP address and netmask using ioctl.\n bool configure_address(const TunConfig& config, std::error_code& ec);\n\n // Set MTU using ioctl.\n bool configure_mtu(int mtu, std::error_code& ec);\n\n // Bring interface up.\n bool bring_interface_up(std::error_code& ec);\n\n int fd_{-1};\n std::string device_name_;\n TunStats stats_;\n bool packet_info_{false};\n};\n\n} // namespace veil::tun\n",
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"content": " 1→#pragma once\n 2→\n 3→#include <cstdint>\n 4→#include <optional>\n 5→#include <string>\n 6→#include <variant>\n 7→#include <vector>\n 8→\n 9→namespace veil::ipc {\n 10→\n 11→// ============================================================================\n 12→// IPC Protocol - JSON over Unix Domain Socket\n 13→// ============================================================================\n 14→// This protocol is used for communication between GUI applications and daemons.\n 15→//\n 16→// Message Format:\n 17→// {\n 18→// \"type\": \"command\" | \"event\" | \"response\" | \"error\",\n 19→// \"id\": <optional request ID for request-response correlation>,\n 20→// \"payload\": { ... type-specific data ... }\n 21→// }\n 22→\n 23→// Connection states (matches client_ui_design.md specification)\n 24→enum class ConnectionState {\n 25→ kDisconnected,\n 26→ kConnecting,\n 27→ kConnected,\n 28→ kReconnecting,\n 29→ kError\n 30→};\n 31→\n 32→// Command types from GUI to Daemon\n 33→enum class CommandType {\n 34→ kConnect,\n 35→ kDisconnect,\n 36→ kGetStatus,\n 37→ kGetMetrics,\n 38→ kGetDiagnostics,\n 39→ kUpdateConfig,\n 40→ kExportDiagnostics\n 41→};\n 42→\n 43→// Event types from Daemon to GUI\n 44→enum class EventType {\n 45→ kStatusUpdate,\n 46→ kMetricsUpdate,\n 47→ kConnectionStateChange,\n 48→ kError,\n 49→ kLogEvent\n 50→};\n 51→\n 52→// ============================================================================\n 53→// Data Structures\n 54→// ============================================================================\n 55→\n 56→// Connection configuration\n 57→struct ConnectionConfig {\n 58→ std::string server_address;\n 59→ std::uint16_t server_port{4433};\n 60→ bool enable_obfuscation{true};\n 61→ bool auto_reconnect{true};\n 62→ std::uint32_t reconnect_interval_sec{5};\n 63→ std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n 64→ bool route_all_traffic{true};\n 65→ std::vector<std::string> custom_routes;\n 66→};\n 67→\n 68→// Current connection status\n 69→struct ConnectionStatus {\n 70→ ConnectionState state{ConnectionState::kDisconnected};\n 71→ std::string session_id;\n 72→ std::string server_address;\n 73→ std::uint16_t server_port{0};\n 74→ std::uint64_t uptime_sec{0};\n 75→ std::string error_message;\n 76→ std::uint32_t reconnect_attempt{0};\n 77→};\n 78→\n 79→// Real-time metrics\n 80→struct ConnectionMetrics {\n 81→ std::uint32_t latency_ms{0};\n 82→ std::uint64_t tx_bytes_per_sec{0};\n 83→ std::uint64_t rx_bytes_per_sec{0};\n 84→ std::uint64_t total_tx_bytes{0};\n 85→ std::uint64_t total_rx_bytes{0};\n 86→};\n 87→\n 88→// Protocol-level diagnostics\n 89→struct ProtocolMetrics {\n 90→ std::uint64_t send_sequence{0};\n 91→ std::uint64_t recv_sequence{0};\n 92→ std::uint64_t packets_sent{0};\n 93→ std::uint64_t packets_received{0};\n 94→ std::uint64_t packets_lost{0};\n 95→ std::uint64_t packets_retransmitted{0};\n 96→ double loss_percentage{0.0};\n 97→};\n 98→\n 99→// Reassembly statistics\n 100→struct ReassemblyStats {\n 101→ std::uint64_t fragments_received{0};\n 102→ std::uint64_t messages_reassembled{0};\n 103→ std::uint64_t fragments_pending{0};\n 104→ std::uint64_t reassembly_timeouts{0};\n 105→};\n 106→\n 107→// Obfuscation profile information\n 108→struct ObfuscationProfile {\n 109→ bool padding_enabled{false};\n 110→ std::uint32_t current_padding_size{0};\n 111→ std::string timing_jitter_model;\n 112→ double timing_jitter_param{0.0};\n 113→ std::string heartbeat_mode;\n 114→ double last_heartbeat_sec{0.0};\n 115→};\n 116→\n 117→// Log event for diagnostics screen\n 118→struct LogEvent {\n 119→ std::uint64_t timestamp_ms{0};\n 120→ std::string level; // \"info\", \"success\", \"warning\", \"error\"\n 121→ std::string message;\n 122→};\n 123→\n 124→// Complete diagnostics data\n 125→struct DiagnosticsData {\n 126→ ProtocolMetrics protocol;\n 127→ ReassemblyStats reassembly;\n 128→ ObfuscationProfile obfuscation;\n 129→ std::vector<LogEvent> recent_events; // Last N events\n 130→};\n 131→\n 132→// Server-specific: Client session info\n 133→struct ClientSession {\n 134→ std::uint64_t session_id{0};\n 135→ std::string tunnel_ip;\n 136→ std::string endpoint_host;\n 137→ std::uint16_t endpoint_port{0};\n 138→ std::uint64_t uptime_sec{0};\n 139→ std::uint64_t packets_sent{0};\n 140→ std::uint64_t packets_received{0};\n 141→ std::uint64_t bytes_sent{0};\n 142→ std::uint64_t bytes_received{0};\n 143→ std::uint64_t last_activity_sec{0};\n 144→};\n 145→\n 146→// Server-specific: Overall server status\n 147→struct ServerStatus {\n 148→ bool running{false};\n 149→ std::uint16_t listen_port{0};\n 150→ std::string listen_address;\n 151→ std::uint32_t active_clients{0};\n 152→ std::uint32_t max_clients{0};\n 153→ std::uint64_t uptime_sec{0};\n 154→ std::uint64_t total_packets_sent{0};\n 155→ std::uint64_t total_packets_received{0};\n 156→ std::uint64_t total_bytes_sent{0};\n 157→ std::uint64_t total_bytes_received{0};\n 158→};\n 159→\n 160→// ============================================================================\n 161→// Commands (GUI -> Daemon)\n 162→// ============================================================================\n 163→\n 164→struct ConnectCommand {\n 165→ ConnectionConfig config;\n 166→};\n 167→\n 168→struct DisconnectCommand {};\n 169→\n 170→struct GetStatusCommand {};\n 171→\n 172→struct GetMetricsCommand {};\n 173→\n 174→struct GetDi***********mmand {};\n 175→\n 176→struct UpdateConfigCommand {\n 177→ ConnectionConfig config;\n 178→};\n 179→\n 180→struct Expor**************mmand {\n 181→ std::string export_path;\n 182→};\n 183→\n 184→// Server-specific: Get list of active clients\n 185→struct GetCl**********mmand {};\n 186→\n 187→// Command variant\n 188→using Command = std::variant<\n 189→ ConnectCommand,\n 190→ DisconnectCommand,\n 191→ GetStatusCommand,\n 192→ GetMetricsCommand,\n 193→ GetDiagnosticsCommand,\n 194→ UpdateConfigCommand,\n 195→ ExportDiagnosticsCommand,\n 196→ GetClientListCommand\n 197→>;\n 198→\n 199→// ============================================================================\n 200→// Events (Daemon -> GUI)\n 201→// ============================================================================\n 202→\n 203→struct StatusUpdateEvent {\n 204→ ConnectionStatus status;\n 205→};\n 206→\n 207→struct MetricsUpdateEvent {\n 208→ ConnectionMetrics metrics;\n 209→};\n 210→\n 211→struct Conne****************Event {\n 212→ ConnectionState old_state;\n 213→ ConnectionState new_state;\n 214→ std::string message;\n 215→};\n 216→\n 217→struct ErrorEvent {\n 218→ std::string error_message;\n 219→ std::string details;\n 220→};\n 221→\n 222→struct LogEventData {\n 223→ LogEvent event;\n 224→};\n 225→\n 226→// Server-specific: Client list update\n 227→struct Clien***********Event {\n 228→ std::vector<ClientSession> clients;\n 229→};\n 230→\n 231→// Server-specific: Server status update\n 232→struct Serve*************Event {\n 233→ ServerStatus status;\n 234→};\n 235→\n 236→// Event variant\n 237→using Event = std::variant<\n 238→ StatusUpdateEvent,\n 239→ MetricsUpdateEvent,\n 240→ ConnectionStateChangeEvent,\n 241→ ErrorEvent,\n 242→ LogEventData,\n 243→ ClientListUpdateEvent,\n 244→ ServerStatusUpdateEvent\n 245→>;\n 246→\n 247→// ============================================================================\n 248→// Responses (Daemon -> GUI, in response to commands)\n 249→// ============================================================================\n 250→\n 251→struct StatusResponse {\n 252→ ConnectionStatus status;\n 253→};\n 254→\n 255→struct MetricsResponse {\n 256→ ConnectionMetrics metrics;\n 257→};\n 258→\n 259→struct DiagnosticsResponse {\n 260→ DiagnosticsData diagnostics;\n 261→};\n 262→\n 263→struct ClientListResponse {\n 264→ std::vector<ClientSession> clients;\n 265→};\n 266→\n 267→struct SuccessResponse {\n 268→ std::string message;\n 269→};\n 270→\n 271→struct ErrorResponse {\n 272→ std::string error_message;\n 273→ std::string details;\n 274→};\n 275→\n 276→// Response variant\n 277→using Response = std::variant<\n 278→ StatusResponse,\n 279→ MetricsResponse,\n 280→ DiagnosticsResponse,\n 281→ ClientListResponse,\n 282→ SuccessResponse,\n 283→ ErrorResponse\n 284→>;\n 285→\n 286→// ============================================================================\n 287→// Message envelope\n 288→// ============================================================================\n 289→\n 290→enum class MessageType {\n 291→ kCommand,\n 292→ kEvent,\n 293→ kResponse,\n 294→ kError\n 295→};\n 296→\n 297→struct Message {\n 298→ MessageType type;\n 299→ std::optional<std::uint64_t> id; // For request-response correlation\n 300→ std::variant<Command, Event, Response> payload;\n 301→};\n 302→\n 303→// ============================================================================\n 304→// Serialization/Deserialization\n 305→// ============================================================================\n 306→// These functions convert between Message structures and JSON strings.\n 307→\n 308→// Serialize a message to JSON string\n 309→std::string serialize_message(const Message& msg);\n 310→\n 311→// Deserialize JSON string to message\n 312→std::optional<Message> deserialize_message(const std::string& json);\n 313→\n 314→// Helper: Get connection state as string\n 315→const char* connection_state_to_string(ConnectionState state);\n 316→\n 317→// Helper: Parse connection state from string\n 318→std::optional<ConnectionState> connection_state_from_string(const std::string& str);\n 319→\n 320→} // namespace veil::ipc\n 321→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\nnamespace veil::ipc {\n\n// ============================================================================\n// IPC Protocol - JSON over Unix Domain Socket\n// ============================================================================\n// This protocol is used for communication between GUI applications and daemons.\n//\n// Message Format:\n// {\n// \"type\": \"command\" | \"event\" | \"response\" | \"error\",\n// \"id\": <optional request ID for request-response correlation>,\n// \"payload\": { ... type-specific data ... }\n// }\n\n// Connection states (matches client_ui_design.md specification)\nenum class ConnectionState {\n kDisconnected,\n kConnecting,\n kConnected,\n kReconnecting,\n kError\n};\n\n// Command types from GUI to Daemon\nenum class CommandType {\n kConnect,\n kDisconnect,\n kGetStatus,\n kGetMetrics,\n kGetDiagnostics,\n kUpdateConfig,\n kExportDiagnostics\n};\n\n// Event types from Daemon to GUI\nenum class EventType {\n kStatusUpdate,\n kMetricsUpdate,\n kConnectionStateChange,\n kError,\n kLogEvent\n};\n\n// ============================================================================\n// Data Structures\n// ============================================================================\n\n// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n};\n\n// Current connection status\nstruct ConnectionStatus {\n ConnectionState state{ConnectionState::kDisconnected};\n std::string session_id;\n std::string server_address;\n std::uint16_t server_port{0};\n std::uint64_t uptime_sec{0};\n std::string error_message;\n std::uint32_t reconnect_attempt{0};\n};\n\n// Real-time metrics\nstruct ConnectionMetrics {\n std::uint32_t latency_ms{0};\n std::uint64_t tx_bytes_per_sec{0};\n std::uint64_t rx_bytes_per_sec{0};\n std::uint64_t total_tx_bytes{0};\n std::uint64_t total_rx_bytes{0};\n};\n\n// Protocol-level diagnostics\nstruct ProtocolMetrics {\n std::uint64_t send_sequence{0};\n std::uint64_t recv_sequence{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t packets_lost{0};\n std::uint64_t packets_retransmitted{0};\n double loss_percentage{0.0};\n};\n\n// Reassembly statistics\nstruct ReassemblyStats {\n std::uint64_t fragments_received{0};\n std::uint64_t messages_reassembled{0};\n std::uint64_t fragments_pending{0};\n std::uint64_t reassembly_timeouts{0};\n};\n\n// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n};\n\n// Log event for diagnostics screen\nstruct LogEvent {\n std::uint64_t timestamp_ms{0};\n std::string level; // \"info\", \"success\", \"warning\", \"error\"\n std::string message;\n};\n\n// Complete diagnostics data\nstruct DiagnosticsData {\n ProtocolMetrics protocol;\n ReassemblyStats reassembly;\n ObfuscationProfile obfuscation;\n std::vector<LogEvent> recent_events; // Last N events\n};\n\n// Server-specific: Client session info\nstruct ClientSession {\n std::uint64_t session_id{0};\n std::string tunnel_ip;\n std::string endpoint_host;\n std::uint16_t endpoint_port{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t bytes_sent{0};\n std::uint64_t bytes_received{0};\n std::uint64_t last_activity_sec{0};\n};\n\n// Server-specific: Overall server status\nstruct ServerStatus {\n bool running{false};\n std::uint16_t listen_port{0};\n std::string listen_address;\n std::uint32_t active_clients{0};\n std::uint32_t max_clients{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t total_packets_sent{0};\n std::uint64_t total_packets_received{0};\n std::uint64_t total_bytes_sent{0};\n std::uint64_t total_bytes_received{0};\n};\n\n// ============================================================================\n// Commands (GUI -> Daemon)\n// ============================================================================\n\nstruct ConnectCommand {\n ConnectionConfig config;\n};\n\nstruct DisconnectCommand {};\n\nstruct GetStatusCommand {};\n\nstruct GetMetricsCommand {};\n\nstruct GetDi***********mmand {};\n\nstruct UpdateConfigCommand {\n ConnectionConfig config;\n};\n\nstruct Expor**************mmand {\n std::string export_path;\n};\n\n// Server-specific: Get list of active clients\nstruct GetCl**********mmand {};\n\n// Command variant\nusing Command = std::variant<\n ConnectCommand,\n DisconnectCommand,\n GetStatusCommand,\n GetMetricsCommand,\n GetDiagnosticsCommand,\n UpdateConfigCommand,\n ExportDiagnosticsCommand,\n GetClientListCommand\n>;\n\n// ============================================================================\n// Events (Daemon -> GUI)\n// ============================================================================\n\nstruct StatusUpdateEvent {\n ConnectionStatus status;\n};\n\nstruct MetricsUpdateEvent {\n ConnectionMetrics metrics;\n};\n\nstruct Conne****************Event {\n ConnectionState old_state;\n ConnectionState new_state;\n std::string message;\n};\n\nstruct ErrorEvent {\n std::string error_message;\n std::string details;\n};\n\nstruct LogEventData {\n LogEvent event;\n};\n\n// Server-specific: Client list update\nstruct Clien***********Event {\n std::vector<ClientSession> clients;\n};\n\n// Server-specific: Server status update\nstruct Serve*************Event {\n ServerStatus status;\n};\n\n// Event variant\nusing Event = std::variant<\n StatusUpdateEvent,\n MetricsUpdateEvent,\n ConnectionStateChangeEvent,\n ErrorEvent,\n LogEventData,\n ClientListUpdateEvent,\n ServerStatusUpdateEvent\n>;\n\n// ============================================================================\n// Responses (Daemon -> GUI, in response to commands)\n// ============================================================================\n\nstruct StatusResponse {\n ConnectionStatus status;\n};\n\nstruct MetricsResponse {\n ConnectionMetrics metrics;\n};\n\nstruct DiagnosticsResponse {\n DiagnosticsData diagnostics;\n};\n\nstruct ClientListResponse {\n std::vector<ClientSession> clients;\n};\n\nstruct SuccessResponse {\n std::string message;\n};\n\nstruct ErrorResponse {\n std::string error_message;\n std::string details;\n};\n\n// Response variant\nusing Response = std::variant<\n StatusResponse,\n MetricsResponse,\n DiagnosticsResponse,\n ClientListResponse,\n SuccessResponse,\n ErrorResponse\n>;\n\n// ============================================================================\n// Message envelope\n// ============================================================================\n\nenum class MessageType {\n kCommand,\n kEvent,\n kResponse,\n kError\n};\n\nstruct Message {\n MessageType type;\n std::optional<std::uint64_t> id; // For request-response correlation\n std::variant<Command, Event, Response> payload;\n};\n\n// ============================================================================\n// Serialization/Deserialization\n// ============================================================================\n// These functions convert between Message structures and JSON strings.\n\n// Serialize a message to JSON string\nstd::string serialize_message(const Message& msg);\n\n// Deserialize JSON string to message\nstd::optional<Message> deserialize_message(const std::string& json);\n\n// Helper: Get connection state as string\nconst char* connection_state_to_string(ConnectionState state);\n\n// Helper: Parse connection state from string\nstd::optional<ConnectionState> connection_state_from_string(const std::string& str);\n\n} // namespace veil::ipc\n",
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"command": "gh issue comment 28 --repo VisageDvachevsky/VEIL --body \"## 🔍 Initial Analysis of Windows Implementation Requirements\n\nI've analyzed the requirements for Windows client and server with GUI. This is a comprehensive task that involves:\n\n### Current State\n- ✅ Qt-based GUI already exists (cross-platform, works on Linux)\n- ✅ IPC protocol defined (currently uses Unix domain sockets)\n- ✅ TUN device abstraction (currently Linux-only)\n- ✅ Core VEIL protocol implementation\n\n### Windows-Specific Requirements from Issue #28\n\n**Critical Components:**\n1. **Windows TUN Integration** - Integrate wintun.sys driver (WireGuard's solution)\n2. **Windows Service Architecture** - Separate service from GUI\n3. **Windows IPC** - Replace Unix sockets with Named Pipes\n4. **Windows Routing** - Use IP Helper API for routing tables\n5. **DPI Bypass Modes** - 4 modes (IoT Mimic, QUIC-Like, Random-Noise, Trickle)\n\n**Additional Features:**\n6. Auto-update module with Ed25519 signatures\n7. Crash reporter / telemetry\n8. Diagnostics tool (MTU discovery, DPI test, pcap generation)\n9. Windows installer (MSI/NSIS)\n\n### Proposed Phased Approach\n\nGiven the scope, I propose implementing this in phases:\n\n**Phase 1: Windows Build Support & Core Platform Abstraction**\n- Add Windows build configuration to CMake\n- Create platform abstraction layer for TUN devices\n- Add conditional compilation for Windows/Linux paths\n\n**Phase 2: Windows TUN & Basic Functionality**\n- Integrate wintun.dll SDK\n- Implement Windows TUN device wrapper\n- Port routing subsystem to Windows (IP Helper API)\n- Test basic VPN connectivity on Windows\n\n**Phase 3: Windows Service Architecture**\n- Implement Windows service wrapper\n- Migrate IPC from Unix sockets to platform-agnostic (Named Pipes on Windows)\n- Ensure GUI works with service on Windows\n\n**Phase 4: DPI Bypass & Advanced Features**\n- Implement 4 DPI bypass modes\n- Add mode selection in GUI\n- Performance optimization\n\n**Phase 5: Production Features**\n- Auto-update module\n- Installer creation\n- Diagnostics enhancements\n- Crash reporting\n\n### Questions\n\n1. **Development Environment**: Do you have access to a Windows development environment, or should this be implemented in a way that can be tested on Linux first with Windows-specific code paths?\n\n2. **Priority**: Which phases are highest priority? Should we focus on basic Windows functionality first, or are the DPI bypass modes critical from the start?\n\n3. **Testing**: How should Windows-specific code be tested in CI? Should we set up Windows runners in GitHub Actions?\n\n4. **Timeline**: Is this intended as a single large PR, or would you prefer incremental PRs for each phase?\n\nPlease let me know your preferences, and I'll start with the appropriate phase.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\"",
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},
{
"content": "Check if there are merged PRs for reference",
"status": "completed",
"activeForm": "Checking merged PRs for reference"
},
{
"content": "Analyze Windows requirements and create implementation plan",
"status": "completed",
"activeForm": "Analyzing Windows requirements and creating implementation plan"
},
{
"content": "Post clarifying comment on issue #28 about scope",
"status": "completed",
"activeForm": "Posting clarifying comment on issue #28 about scope"
},
{
"content": "Create platform abstraction for TUN device (Windows/Linux)",
"status": "in_progress",
"activeForm": "Creating platform abstraction for TUN device (Windows/Linux)"
},
{
"content": "Add Windows-specific CMake configuration",
"status": "pending",
"activeForm": "Adding Windows-specific CMake configuration"
},
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"content": "Create Windows TUN device stub implementation",
"status": "pending",
"activeForm": "Creating Windows TUN device stub implementation"
},
{
"content": "Add wintun SDK integration to build system",
"status": "pending",
"activeForm": "Adding wintun SDK integration to build system"
},
{
"content": "Implement Windows TUN device using wintun.dll",
"status": "pending",
"activeForm": "Implementing Windows TUN device using wintun.dll"
},
{
"content": "Create platform-agnostic IPC socket (Unix/Named Pipes)",
"status": "pending",
"activeForm": "Creating platform-agnostic IPC socket"
},
{
"content": "Add Windows routing subsystem using IP Helper API",
"status": "pending",
"activeForm": "Adding Windows routing subsystem using IP Helper API"
},
{
"content": "Implement DPI bypass mode framework",
"status": "pending",
"activeForm": "Implementing DPI bypass mode framework"
},
{
"content": "Add DPI bypass modes to obfuscation profiles",
"status": "pending",
"activeForm": "Adding DPI bypass modes to obfuscation profiles"
},
{
"content": "Enhance GUI with DPI mode selection",
"status": "pending",
"activeForm": "Enhancing GUI with DPI mode selection"
},
{
"content": "Write tests for Windows-specific components",
"status": "pending",
"activeForm": "Writing tests for Windows-specific components"
},
{
"content": "Document Windows build and installation process",
"status": "pending",
"activeForm": "Documenting Windows build and installation process"
},
{
"content": "Run local CI checks",
"status": "pending",
"activeForm": "Running local CI checks"
},
{
"content": "Verify CI passes on GitHub Actions",
"status": "pending",
"activeForm": "Verifying CI passes on GitHub Actions"
},
{
"content": "Update PR description",
"status": "pending",
"activeForm": "Updating PR description"
},
{
"content": "Mark PR as ready for review",
"status": "pending",
"activeForm": "Marking PR as ready for review"
}
]
}
}
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"text": "Let me start by examining the current TUN device implementation to understand what needs to be abstracted:"
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[2025-12-07T21:38:44.246Z] [INFO] {
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"content": " 1→#include \"tun/tun_device.h\"\n 2→\n 3→#include <arpa/inet.h>\n 4→#include <cerrno>\n 5→#include <cstring>\n 6→#include <fcntl.h>\n 7→#include <linux/if_tun.h>\n 8→#include <net/if.h>\n 9→#include <sys/epoll.h>\n 10→#include <sys/ioctl.h>\n 11→#include <sys/socket.h>\n 12→#include <unistd.h>\n 13→\n 14→#include <array>\n 15→#include <system_error>\n 16→\n 17→#include \"common/logging/logger.h\"\n 18→\n 19→namespace {\n 20→std::error_code last_error() { return std::error_code(errno, std::generic_category()); }\n 21→\n 22→// Maximum packet size for TUN devices.\n 23→constexpr std::size_t kMaxPacketSize = 65535;\n 24→\n 25→// TUN packet info header size (4 bytes: flags + proto).\n 26→constexpr std::size_t kTunPiSize = 4;\n 27→} // namespace\n 28→\n 29→namespace veil::tun {\n 30→\n 31→TunDevice::TunDevice() = default;\n 32→\n 33→TunDevice::~TunDevice() { close(); }\n 34→\n 35→TunDevice::TunDevice(TunDevice&& other) noexcept\n 36→ : fd_(other.fd_),\n 37→ device_name_(std::move(other.device_name_)),\n 38→ stats_(other.stats_),\n 39→ packet_info_(other.packet_info_) {\n 40→ other.fd_ = -1;\n 41→}\n 42→\n 43→TunDevice& TunDevice::operator=(TunDevice&& other) noexcept {\n 44→ if (this != &other) {\n 45→ close();\n 46→ fd_ = other.fd_;\n 47→ device_name_ = std::move(other.device_name_);\n 48→ stats_ = other.stats_;\n 49→ packet_info_ = other.packet_info_;\n 50→ other.fd_ = -1;\n 51→ }\n 52→ return *this;\n 53→}\n 54→\n 55→bool TunDevice::open(const TunConfig& config, std::error_code& ec) {\n 56→ // Open the TUN clone device.\n 57→ fd_ = ::open(\"/dev/net/tun\", O_RDWR | O_NONBLOCK);\n 58→ if (fd_ < 0) {\n 59→ ec = last_error();\n 60→ LOG_ERROR(\"Failed to open /dev/net/tun: {}\", ec.message());\n 61→ return false;\n 62→ }\n 63→\n 64→ // Configure the TUN device.\n 65→ ifreq ifr{};\n 66→ ifr.ifr_flags = IFF_TUN | IFF_NO_PI;\n 67→ if (config.packet_info) {\n 68→ ifr.ifr_flags = IFF_TUN;\n 69→ packet_info_ = true;\n 70→ }\n 71→\n 72→ // Set device name if provided.\n 73→ if (!config.device_name.empty()) {\n 74→ // IFNAMSIZ is typically 16, so we use size()-1 to leave room for null terminator.\n 75→ std::strncpy(ifr.ifr_name, config.device_name.c_str(), IFNAMSIZ - 1);\n 76→ ifr.ifr_name[IFNAMSIZ - 1] = '\\0';\n 77→ }\n 78→\n 79→ // Create the TUN device.\n 80→ if (ioctl(fd_, TUNSETIFF, &ifr) < 0) {\n 81→ ec = last_error();\n 82→ LOG_ERROR(\"Failed to create TUN device: {}\", ec.message());\n 83→ close();\n 84→ return false;\n 85→ }\n 86→\n 87→ device_name_ = ifr.ifr_name;\n 88→ LOG_INFO(\"Created TUN device: {}\", device_name_);\n 89→\n 90→ // Configure IP address if provided.\n 91→ if (!config.ip_address.empty()) {\n 92→ if (!configure_address(config, ec)) {\n 93→ close();\n 94→ return false;\n 95→ }\n 96→ }\n 97→\n 98→ // Set MTU.\n 99→ if (config.mtu > 0) {\n 100→ if (!configure_mtu(config.mtu, ec)) {\n 101→ close();\n 102→ return false;\n 103→ }\n 104→ }\n 105→\n 106→ // Bring interface up.\n 107→ if (config.bring_up) {\n 108→ if (!bring_interface_up(ec)) {\n 109→ close();\n 110→ return false;\n 111→ }\n 112→ }\n 113→\n 114→ return true;\n 115→}\n 116→\n 117→void TunDevice::close() {\n 118→ if (fd_ >= 0) {\n 119→ ::close(fd_);\n 120→ fd_ = -1;\n 121→ LOG_INFO(\"Closed TUN device: {}\", device_name_);\n 122→ }\n 123→}\n 124→\n 125→bool TunDevice::configure_address(const TunConfig& config, std::error_code& ec) {\n 126→ // Need a socket for ioctl operations.\n 127→ const int sock = socket(AF_INET, SOCK_DGRAM, 0);\n 128→ if (sock < 0) {\n 129→ ec = last_error();\n 130→ LOG_ERROR(\"Failed to create socket for TUN configuration: {}\", ec.message());\n 131→ return false;\n 132→ }\n 133→\n 134→ ifreq ifr{};\n 135→ std::strncpy(ifr.ifr_name, device_name_.c_str(), IFNAMSIZ - 1);\n 136→ ifr.ifr_name[IFNAMSIZ - 1] = '\\0';\n 137→\n 138→ // Set IP address.\n 139→ auto* addr = reinterpret_cast<sockaddr_in*>(&ifr.ifr_addr);\n 140→ addr->sin_family = AF_INET;\n 141→ if (inet_pton(AF_INET, config.ip_address.c_str(), &addr->sin_addr) != 1) {\n 142→ ec = std::make_error_code(std::errc::invalid_argument);\n 143→ LOG_ERROR(\"Invalid IP address: {}\", config.ip_address);\n 144→ ::close(sock);\n 145→ return false;\n 146→ }\n 147→\n 148→ if (ioctl(sock, SIOCSIFADDR, &ifr) < 0) {\n 149→ ec = last_error();\n 150→ LOG_ERROR(\"Failed to set IP address: {}\", ec.message());\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#include \"tun/tun_device.h\"\n\n#include <arpa/inet.h>\n#include <cerrno>\n#include <cstring>\n#include <fcntl.h>\n#include <linux/if_tun.h>\n#include <net/if.h>\n#include <sys/epoll.h>\n#include <sys/ioctl.h>\n#include <sys/socket.h>\n#include <unistd.h>\n\n#include <array>\n#include <system_error>\n\n#include \"common/logging/logger.h\"\n\nnamespace {\nstd::error_code last_error() { return std::error_code(errno, std::generic_category()); }\n\n// Maximum packet size for TUN devices.\nconstexpr std::size_t kMaxPacketSize = 65535;\n\n// TUN packet info header size (4 bytes: flags + proto).\nconstexpr std::size_t kTunPiSize = 4;\n} // namespace\n\nnamespace veil::tun {\n\nTunDevice::TunDevice() = default;\n\nTunDevice::~TunDevice() { close(); }\n\nTunDevice::TunDevice(TunDevice&& other) noexcept\n : fd_(other.fd_),\n device_name_(std::move(other.device_name_)),\n stats_(other.stats_),\n packet_info_(other.packet_info_) {\n other.fd_ = -1;\n}\n\nTunDevice& TunDevice::operator=(TunDevice&& other) noexcept {\n if (this != &other) {\n close();\n fd_ = other.fd_;\n device_name_ = std::move(other.device_name_);\n stats_ = other.stats_;\n packet_info_ = other.packet_info_;\n other.fd_ = -1;\n }\n return *this;\n}\n\nbool TunDevice::open(const TunConfig& config, std::error_code& ec) {\n // Open the TUN clone device.\n fd_ = ::open(\"/dev/net/tun\", O_RDWR | O_NONBLOCK);\n if (fd_ < 0) {\n ec = last_error();\n LOG_ERROR(\"Failed to open /dev/net/tun: {}\", ec.message());\n return false;\n }\n\n // Configure the TUN device.\n ifreq ifr{};\n ifr.ifr_flags = IFF_TUN | IFF_NO_PI;\n if (config.packet_info) {\n ifr.ifr_flags = IFF_TUN;\n packet_info_ = true;\n }\n\n // Set device name if provided.\n if (!config.device_name.empty()) {\n // IFNAMSIZ is typically 16, so we use size()-1 to leave room for null terminator.\n std::strncpy(ifr.ifr_name, config.device_name.c_str(), IFNAMSIZ - 1);\n ifr.ifr_name[IFNAMSIZ - 1] = '\\0';\n }\n\n // Create the TUN device.\n if (ioctl(fd_, TUNSETIFF, &ifr) < 0) {\n ec = last_error();\n LOG_ERROR(\"Failed to create TUN device: {}\", ec.message());\n close();\n return false;\n }\n\n device_name_ = ifr.ifr_name;\n LOG_INFO(\"Created TUN device: {}\", device_name_);\n\n // Configure IP address if provided.\n if (!config.ip_address.empty()) {\n if (!configure_address(config, ec)) {\n close();\n return false;\n }\n }\n\n // Set MTU.\n if (config.mtu > 0) {\n if (!configure_mtu(config.mtu, ec)) {\n close();\n return false;\n }\n }\n\n // Bring interface up.\n if (config.bring_up) {\n if (!bring_interface_up(ec)) {\n close();\n return false;\n }\n }\n\n return true;\n}\n\nvoid TunDevice::close() {\n if (fd_ >= 0) {\n ::close(fd_);\n fd_ = -1;\n LOG_INFO(\"Closed TUN device: {}\", device_name_);\n }\n}\n\nbool TunDevice::configure_address(const TunConfig& config, std::error_code& ec) {\n // Need a socket for ioctl operations.\n const int sock = socket(AF_INET, SOCK_DGRAM, 0);\n if (sock < 0) {\n ec = last_error();\n LOG_ERROR(\"Failed to create socket for TUN configuration: {}\", ec.message());\n return false;\n }\n\n ifreq ifr{};\n std::strncpy(ifr.ifr_name, device_name_.c_str(), IFNAMSIZ - 1);\n ifr.ifr_name[IFNAMSIZ - 1] = '\\0';\n\n // Set IP address.\n auto* addr = reinterpret_cast<sockaddr_in*>(&ifr.ifr_addr);\n addr->sin_family = AF_INET;\n if (inet_pton(AF_INET, config.ip_address.c_str(), &addr->sin_addr) != 1) {\n ec = std::make_error_code(std::errc::invalid_argument);\n LOG_ERROR(\"Invalid IP address: {}\", config.ip_address);\n ::close(sock);\n return false;\n }\n\n if (ioctl(sock, SIOCSIFADDR, &ifr) < 0) {\n ec = last_error();\n LOG_ERROR(\"Failed to set IP address: {}\", ec.message());",
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"content": " 1→#pragma once\n 2→\n 3→#include <cstdint>\n 4→#include <optional>\n 5→#include <string>\n 6→#include <system_error>\n 7→#include <vector>\n 8→\n 9→namespace veil::tun {\n 10→\n 11→// Route entry for adding/removing routes.\n 12→struct Route {\n 13→ // Destination network (e.g., \"0.0.0.0\" for default, \"192.168.1.0\").\n 14→ std::string destination;\n 15→ // Netmask (e.g., \"0.0.0.0\" for default, \"255.255.255.0\").\n 16→ std::string netmask;\n 17→ // Gateway (empty for direct routes via interface).\n 18→ std::string gateway;\n 19→ // Interface name (e.g., \"veil0\").\n 20→ std::string interface;\n 21→ // Metric (lower = higher priority).\n 22→ int metric{0};\n 23→};\n 24→\n 25→// NAT configuration for server mode.\n 26→struct NatConfig {\n 27→ // Interface to masquerade traffic from (e.g., \"veil0\").\n 28→ std::string internal_interface;\n 29→ // Interface to masquerade traffic to (e.g., \"eth0\").\n 30→ std::string external_interface;\n 31→ // Enable IP forwarding.\n 32→ bool enable_forwarding{true};\n 33→ // Use iptables MASQUERADE (true) or SNAT (false).\n 34→ bool use_masquerade{true};\n 35→ // SNAT source IP (only used if use_masquerade is false).\n 36→ std::string snat_source;\n 37→};\n 38→\n 39→// Result of checking system state.\n 40→struct SystemState {\n 41→ bool ip_forwarding_enabled{false};\n 42→ std::string default_interface;\n 43→ std::string default_gateway;\n 44→};\n 45→\n 46→// Manages routing table entries and NAT configuration.\n 47→// Uses system commands (ip route, iptables) for configuration.\n 48→class RouteManager {\n 49→ public:\n 50→ RouteManager();\n 51→ ~RouteManager();\n 52→\n 53→ // Non-copyable, non-movable.\n 54→ RouteManager(const RouteManager&) = delete;\n 55→ RouteManager& operator=(const RouteManager&) = delete;\n 56→ RouteManager(RouteManager&&) = delete;\n 57→ RouteManager& operator=(RouteManager&&) = delete;\n 58→\n 59→ // Add a route to the routing table.\n 60→ bool add_route(const Route& route, std::error_code& ec);\n 61→\n 62→ // Remove a route from the routing table.\n 63→ bool remove_route(const Route& route, std::error_code& ec);\n 64→\n 65→ // Add default route via a specific interface.\n 66→ bool add_default_route(const std::string& interface, const std::string& gateway, int metric,\n 67→ std::error_code& ec);\n 68→\n 69→ // Remove default route via a specific interface.\n 70→ bool remove_default_route(const std::string& interface, std::error_code& ec);\n 71→\n 72→ // Enable/disable IP forwarding.\n 73→ bool set_ip_forwarding(bool enable, std::error_code& ec);\n 74→\n 75→ // Check if IP forwarding is enabled.\n 76→ bool is_ip_forwarding_enabled(std::error_code& ec);\n 77→\n 78→ // Configure NAT (masquerading) for server mode.\n 79→ bool configure_nat(const NatConfig& config, std::error_code& ec);\n 80→\n 81→ // Remove NAT configuration.\n 82→ bool remove_nat(const NatConfig& config, std::error_code& ec);\n 83→\n 84→ // Get current system state (forwarding, default route).\n 85→ std::optional<SystemState> get_system_state(std::error_code& ec);\n 86→\n 87→ // Save current routing table for later restoration.\n 88→ bool save_routes(std::error_code& ec);\n 89→\n 90→ // Restore previously saved routes.\n 91→ bool restore_routes(std::error_code& ec);\n 92→\n 93→ // Check if a route exists.\n 94→ bool route_exists(const Route& route, std::error_code& ec);\n 95→\n 96→ // Remove all routes added by this manager.\n 97→ void cleanup();\n 98→\n 99→ private:\n 100→ // Execute a shell command and return output.\n 101→ std::optional<std::string> execute_command(const std::string& command, std::error_code& ec);\n 102→\n 103→ // Execute a command and check for success.\n 104→ bool execute_command_check(const std::string& command, std::error_code& ec);\n 105→\n 106→ // Build iptables command for NAT.\n 107→ std::string build_nat_command(const NatConfig& config, bool add);\n 108→\n 109→ // Track added routes for cleanup.\n 110→ std::vector<Route> added_routes_;\n 111→\n 112→ // Track if NAT was configured.\n 113→ bool nat_configured_{false};\n 114→ NatConfig current_nat_config_;\n 115→\n 116→ // Track original IP forwarding state.\n 117→ bool original_forwarding_state_{false};\n 118→ bool forwarding_state_saved_{false};\n 119→};\n 120→\n 121→} // namespace veil::tun\n 122→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <system_error>\n#include <vector>\n\nnamespace veil::tun {\n\n// Route entry for adding/removing routes.\nstruct Route {\n // Destination network (e.g., \"0.0.0.0\" for default, \"192.168.1.0\").\n std::string destination;\n // Netmask (e.g., \"0.0.0.0\" for default, \"255.255.255.0\").\n std::string netmask;\n // Gateway (empty for direct routes via interface).\n std::string gateway;\n // Interface name (e.g., \"veil0\").\n std::string interface;\n // Metric (lower = higher priority).\n int metric{0};\n};\n\n// NAT configuration for server mode.\nstruct NatConfig {\n // Interface to masquerade traffic from (e.g., \"veil0\").\n std::string internal_interface;\n // Interface to masquerade traffic to (e.g., \"eth0\").\n std::string external_interface;\n // Enable IP forwarding.\n bool enable_forwarding{true};\n // Use iptables MASQUERADE (true) or SNAT (false).\n bool use_masquerade{true};\n // SNAT source IP (only used if use_masquerade is false).\n std::string snat_source;\n};\n\n// Result of checking system state.\nstruct SystemState {\n bool ip_forwarding_enabled{false};\n std::string default_interface;\n std::string default_gateway;\n};\n\n// Manages routing table entries and NAT configuration.\n// Uses system commands (ip route, iptables) for configuration.\nclass RouteManager {\n public:\n RouteManager();\n ~RouteManager();\n\n // Non-copyable, non-movable.\n RouteManager(const RouteManager&) = delete;\n RouteManager& operator=(const RouteManager&) = delete;\n RouteManager(RouteManager&&) = delete;\n RouteManager& operator=(RouteManager&&) = delete;\n\n // Add a route to the routing table.\n bool add_route(const Route& route, std::error_code& ec);\n\n // Remove a route from the routing table.\n bool remove_route(const Route& route, std::error_code& ec);\n\n // Add default route via a specific interface.\n bool add_default_route(const std::string& interface, const std::string& gateway, int metric,\n std::error_code& ec);\n\n // Remove default route via a specific interface.\n bool remove_default_route(const std::string& interface, std::error_code& ec);\n\n // Enable/disable IP forwarding.\n bool set_ip_forwarding(bool enable, std::error_code& ec);\n\n // Check if IP forwarding is enabled.\n bool is_ip_forwarding_enabled(std::error_code& ec);\n\n // Configure NAT (masquerading) for server mode.\n bool configure_nat(const NatConfig& config, std::error_code& ec);\n\n // Remove NAT configuration.\n bool remove_nat(const NatConfig& config, std::error_code& ec);\n\n // Get current system state (forwarding, default route).\n std::optional<SystemState> get_system_state(std::error_code& ec);\n\n // Save current routing table for later restoration.\n bool save_routes(std::error_code& ec);\n\n // Restore previously saved routes.\n bool restore_routes(std::error_code& ec);\n\n // Check if a route exists.\n bool route_exists(const Route& route, std::error_code& ec);\n\n // Remove all routes added by this manager.\n void cleanup();\n\n private:\n // Execute a shell command and return output.\n std::optional<std::string> execute_command(const std::string& command, std::error_code& ec);\n\n // Execute a command and check for success.\n bool execute_command_check(const std::string& command, std::error_code& ec);\n\n // Build iptables command for NAT.\n std::string build_nat_command(const NatConfig& config, bool add);\n\n // Track added routes for cleanup.\n std::vector<Route> added_routes_;\n\n // Track if NAT was configured.\n bool nat_configured_{false};\n NatConfig current_nat_config_;\n\n // Track original IP forwarding state.\n bool original_forwarding_state_{false};\n bool forwarding_state_saved_{false};\n};\n\n} // namespace veil::tun\n",
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"text": "Now let me check the obfuscation profile to understand what's already there for DPI bypass:"
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[2025-12-07T21:38:49.037Z] [INFO] {
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[2025-12-07T21:38:50.288Z] [INFO] {
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[2025-12-07T21:38:50.327Z] [INFO] {
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"content": " 1→#pragma once\n 2→\n 3→#include <array>\n 4→#include <chrono>\n 5→#include <cstdint>\n 6→#include <optional>\n 7→#include <string>\n 8→#include <vector>\n 9→\n 10→namespace veil::obfuscation {\n 11→\n 12→// Profile seed size (32 bytes for deterministic obfuscation).\n 13→constexpr std::size_t kProfileSeedSize = 32;\n 14→\n 15→// Padding size class for traffic morphing.\n 16→enum class PaddingSizeClass : std::uint8_t {\n 17→ kSmall = 0, // 0-100 bytes, typical for keepalives/ACKs\n 18→ kMedium = 1, // 100-400 bytes, typical for small requests\n 19→ kLarge = 2, // 400-1000 bytes, typical for data transfer\n 20→};\n 21→\n 22→// Padding distribution weights (must sum to 100).\n 23→struct PaddingDistribution {\n 24→ std::uint8_t small_weight{40}; // Weight for small packets (0-100)\n 25→ std::uint8_t medium_weight{40}; // Weight for medium packets (100-400)\n 26→ std::uint8_t large_weight{20}; // Weight for large packets (400-1000)\n 27→\n 28→ // Size ranges for each class.\n 29→ std::uint16_t small_min{0};\n 30→ std::uint16_t small_max{100};\n 31→ std::uint16_t medium_min{100};\n 32→ std::uint16_t medium_max{400};\n 33→ std::uint16_t large_min{400};\n 34→ std::uint16_t large_max{1000};\n 35→\n 36→ // Padding jitter range (±N bytes).\n 37→ std::uint16_t jitter_range{20};\n 38→};\n 39→\n 40→// Timing jitter model type.\n 41→enum class TimingJitterModel : std::uint8_t {\n 42→ kUniform = 0, // Uniform random distribution\n 43→ kPoisson = 1, // Poisson distribution (network-like)\n 44→ kExponential = 2, // Exponential distribution (bursty)\n 45→};\n 46→\n 47→// Heartbeat payload type for semantic modeling.\n 48→enum class HeartbeatType : std::uint8_t {\n 49→ kEmpty = 0, // Empty heartbeat (minimal)\n 50→ kTimestamp = 1, // Contains timestamp only\n 51→ kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n 52→ kGenericTelemetry = 3 // Generic telemetry pattern\n 53→};\n 54→\n 55→// IoT-like sensor data template for heartbeat payloads.\n 56→struct IoTSensorTemplate {\n 57→ float temp_min{18.0f};\n 58→ float temp_max{25.0f};\n 59→ float humidity_min{40.0f};\n 60→ float humidity_max{70.0f};\n 61→ float battery_min{3.0f};\n 62→ float battery_max{4.2f};\n 63→ std::uint8_t device_id{0}; // Randomized per session\n 64→};\n 65→\n 66→// Obfuscation profile configuration.\n 67→// Controls padding, prefix, timing jitter, and heartbeat behavior.\n 68→struct ObfuscationProfile {\n 69→ // Profile seed for deterministic padding/prefix generation.\n 70→ // If empty/zeroed, generates random seed on first use.\n 71→ std::array<std::uint8_t, kProfileSeedSize> profile_seed{};\n 72→\n 73→ // Whether obfuscation is enabled.\n 74→ bool enabled{true};\n 75→\n 76→ // Maximum padding size in bytes (added to each packet).\n 77→ std::uint16_t max_padding_size{400};\n 78→\n 79→ // Minimum padding size in bytes.\n 80→ std::uint16_t min_padding_size{0};\n 81→\n 82→ // Random prefix size range (4-12 bytes based on profile_seed + seq).\n 83→ std::uint8_t min_prefix_size{4};\n 84→ std::uint8_t max_prefix_size{12};\n 85→\n 86→ // Heartbeat interval range for idle traffic.\n 87→ std::chrono::seconds heartbeat_min{5};\n 88→ std::chrono::seconds heartbeat_max{15};\n 89→\n 90→ // Enable timing jitter for packet sends.\n 91→ bool timing_jitter_enabled{true};\n 92→\n 93→ // Maximum timing jitter in milliseconds.\n 94→ std::uint16_t max_timing_jitter_ms{50};\n 95→\n 96→ // Size variance: target different packet size distributions.\n 97→ // 0.0 = constant size, 1.0 = maximum variance.\n 98→ float size_variance{0.5f};\n 99→\n 100→ // Padding distribution configuration.\n 101→ PaddingDistribution padding_distribution{};\n 102→\n 103→ // Enable advanced padding distribution (uses paddi**********ution config).\n 104→ bool use_advanced_padding{false};\n 105→\n 106→ // Timing jitter model.\n 107→ TimingJitterModel timing_jitter_model{TimingJitterModel::kPoisson};\n 108→\n 109→ // Timing jitter scale factor (multiplier for base jitter).\n 110→ float timing_jitter_scale{1.0f};\n 111→\n 112→ // Heartbeat configuration.\n 113→ HeartbeatType heartbeat_type{HeartbeatType::kIoTSensor};\n 114→\n 115→ // IoT sensor template for heartbeat payloads.\n 116→ IoTSensorTemplate iot_sensor_template{};\n 117→\n 118→ // Enable entropy normalization for heartbeat messages.\n 119→ bool heartbeat_entropy_normalization{true};\n 120→};\n 121→\n 122→// Obfuscation metrics for DPI/ML analysis.\n 123→struct ObfuscationMetrics {\n 124→ // Packet size statistics (sliding window).\n 125→ std::uint64_t packets_measured{0};\n 126→ double avg_packet_size{0.0};\n 127→ double packet_size_variance{0.0};\n 128→ double packet_size_stddev{0.0};\n 129→ std::uint16_t min_packet_size{0};\n 130→ std::uint16_t max_packet_size{0};\n 131→\n 132→ // Packet size histogram (for DPI analysis).\n 133→ std::array<std::uint64_t, 16> size_histogram{}; // Buckets: 0-64, 64-128, ..., 960-1024+\n 134→\n 135→ // Inter-packet timing statistics.\n 136→ double avg_interval_ms{0.0};\n 137→ double interval_variance{0.0};\n 138→ double interval_stddev{0.0};\n 139→\n 140→ // Timing histogram (for pattern detection).\n 141→ std::array<std::uint64_t, 16> timing_histogram{}; // Buckets: 0-10ms, 10-20ms, ...\n 142→\n 143→ // Heartbeat statistics.\n 144→ std::uint64_t heartbeats_sent{0};\n 145→ std::uint64_t heartbeats_received{0};\n 146→ double heartbeat_ratio{0.0}; // heartbeats / total packets\n 147→\n 148→ // Padding statistics.\n 149→ std::uint64_t total_padding_bytes{0};\n 150→ double avg_padding_per_packet{0.0};\n 151→\n 152→ // Padding size class distribution.\n 153→ std::uint64_t small_padding_count{0};\n 154→ std::uint64_t medium_padding_count{0};\n 155→ std::uint64_t large_padding_count{0};\n 156→\n 157→ // Prefix statistics.\n 158→ std::uint64_t total_prefix_bytes{0};\n 159→ double avg_prefix_per_packet{0.0};\n 160→\n 161→ // Jitter statistics.\n 162→ std::uint64_t jitter_applied_count{0};\n 163→ double avg_jitter_ms{0.0};\n 164→ double jitter_stddev{0.0};\n 165→};\n 166→\n 167→// Configuration file section for obfuscation.\n 168→struct ObfuscationConfig {\n 169→ bool enabled{true};\n 170→ std::uint16_t max_padding_size{400};\n 171→ std::string profile_seed_hex; // Hex-encoded seed, \"auto\" for random.\n 172→ std::chrono::seconds heartbeat_interval_min{5};\n 173→ std::chrono::seconds heartbeat_interval_max{15};\n 174→ bool enable_timing_jitter{true};\n 175→};\n 176→\n 177→// Parse obfuscation config from key-value pairs.\n 178→// Typically called from INI/config file parser.\n 179→std::optional<ObfuscationConfig> parse_obfuscation_config(\n 180→ const std::string& enabled, const std::string& max_padding,\n 181→ const std::string& profile_seed, const std::string& heartbeat_min,\n 182→ const std::string& heartbeat_max, const std::string& timing_jitter);\n 183→\n 184→// Convert ObfuscationConfig to runtime ObfuscationProfile.\n 185→ObfuscationProfile config_to_profile(const ObfuscationConfig& config);\n 186→\n 187→// Generate a random profile seed.\n 188→std::array<std::uint8_t, kProfileSeedSize> generate_profile_seed();\n 189→\n 190→// Compute deterministic padding size based on profile seed and sequence.\n 191→std::uint16_t compute_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n 192→\n 193→// Compute padding size using advanced distribution (small/medium/large classes).\n 194→std::uint16_t compute_advanced_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n 195→\n 196→// Determine which padding size class to use for a given sequence.\n 197→PaddingSizeClass compute_padding_class(const ObfuscationProfile& profile, std::uint64_t sequence);\n 198→\n 199→// Compute deterministic prefix size based on profile seed and sequence.\n 200→std::uint8_t compute_prefix_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n 201→\n 202→// Compute timing jitter in milliseconds based on profile seed and sequence.\n 203→std::uint16_t compute_timing_jitter(const ObfuscationProfile& profile, std::uint64_t sequence);\n 204→\n 205→// Compute timing jitter using Poisson/Exponential model.\n 206→// Returns timestamp offset in microseconds.\n 207→std::chrono::microseconds compute_timing_jitter_advanced(const ObfuscationProfile& profile,\n 208→ std::uint64_t sequence);\n 209→\n 210→// Calculate next send timestamp with jitter applied.\n 211→// base_ts: the base timestamp when packet would normally be sent.\n 212→// Returns adjusted timestamp with jitter.\n 213→std::chrono::steady_clock::time_point calculate_next_send_ts(\n 214→ const ObfuscationProfile& profile, std::uint64_t sequence,\n 215→ std::chrono::steady_clock::time_point base_ts);\n 216→\n 217→// Compute heartbeat interval based on profile seed.\n 218→std::chrono::milliseconds compute_heartbeat_interval(const ObfuscationProfile& profile,\n 219→ std::uint64_t heartbeat_count);\n 220→\n 221→// Generate IoT-like sensor payload for heartbeat.\n 222→// Returns deterministic payload based on profile seed and sequence.\n 223→std::vector<std::uint8_t> generate_iot_heartbeat_payload(const ObfuscationProfile& profile,\n 224→ std::uint64_t heartbeat_sequence);\n 225→\n 226→// Generate generic telemetry payload for heartbeat.\n 227→std::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n 228→ std::uint64_t heartbeat_sequence);\n 229→\n 230→// Generate heartbeat payload based on configured heartbeat type.\n 231→std::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n 232→ std::uint64_t heartbeat_sequence);\n 233→\n 234→// Apply entropy normalization to a buffer (fills gaps with pseudo-random data).\n 235→void apply_entropy_normalization(std::vector<std::uint8_t>& buffer,\n 236→ const std::array<std::uint8_t, kProfileSeedSize>& seed,\n 237→ std::uint64_t sequence);\n 238→\n 239→// Update obfuscation metrics with a new packet measurement.\n 240→void update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n 241→ std::uint16_t padding_size, std::uint16_t prefix_size,\n 242→ double interval_ms, bool is_heartbeat);\n 243→\n 244→// Reset obfuscation metrics.\n 245→void reset_metrics(ObfuscationMetrics& metrics);\n 246→\n 247→} // namespace veil::obfuscation\n 248→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#pragma once\n\n#include <array>\n#include <chrono>\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <vector>\n\nnamespace veil::obfuscation {\n\n// Profile seed size (32 bytes for deterministic obfuscation).\nconstexpr std::size_t kProfileSeedSize = 32;\n\n// Padding size class for traffic morphing.\nenum class PaddingSizeClass : std::uint8_t {\n kSmall = 0, // 0-100 bytes, typical for keepalives/ACKs\n kMedium = 1, // 100-400 bytes, typical for small requests\n kLarge = 2, // 400-1000 bytes, typical for data transfer\n};\n\n// Padding distribution weights (must sum to 100).\nstruct PaddingDistribution {\n std::uint8_t small_weight{40}; // Weight for small packets (0-100)\n std::uint8_t medium_weight{40}; // Weight for medium packets (100-400)\n std::uint8_t large_weight{20}; // Weight for large packets (400-1000)\n\n // Size ranges for each class.\n std::uint16_t small_min{0};\n std::uint16_t small_max{100};\n std::uint16_t medium_min{100};\n std::uint16_t medium_max{400};\n std::uint16_t large_min{400};\n std::uint16_t large_max{1000};\n\n // Padding jitter range (±N bytes).\n std::uint16_t jitter_range{20};\n};\n\n// Timing jitter model type.\nenum class TimingJitterModel : std::uint8_t {\n kUniform = 0, // Uniform random distribution\n kPoisson = 1, // Poisson distribution (network-like)\n kExponential = 2, // Exponential distribution (bursty)\n};\n\n// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};\n\n// IoT-like sensor data template for heartbeat payloads.\nstruct IoTSensorTemplate {\n float temp_min{18.0f};\n float temp_max{25.0f};\n float humidity_min{40.0f};\n float humidity_max{70.0f};\n float battery_min{3.0f};\n float battery_max{4.2f};\n std::uint8_t device_id{0}; // Randomized per session\n};\n\n// Obfuscation profile configuration.\n// Controls padding, prefix, timing jitter, and heartbeat behavior.\nstruct ObfuscationProfile {\n // Profile seed for deterministic padding/prefix generation.\n // If empty/zeroed, generates random seed on first use.\n std::array<std::uint8_t, kProfileSeedSize> profile_seed{};\n\n // Whether obfuscation is enabled.\n bool enabled{true};\n\n // Maximum padding size in bytes (added to each packet).\n std::uint16_t max_padding_size{400};\n\n // Minimum padding size in bytes.\n std::uint16_t min_padding_size{0};\n\n // Random prefix size range (4-12 bytes based on profile_seed + seq).\n std::uint8_t min_prefix_size{4};\n std::uint8_t max_prefix_size{12};\n\n // Heartbeat interval range for idle traffic.\n std::chrono::seconds heartbeat_min{5};\n std::chrono::seconds heartbeat_max{15};\n\n // Enable timing jitter for packet sends.\n bool timing_jitter_enabled{true};\n\n // Maximum timing jitter in milliseconds.\n std::uint16_t max_timing_jitter_ms{50};\n\n // Size variance: target different packet size distributions.\n // 0.0 = constant size, 1.0 = maximum variance.\n float size_variance{0.5f};\n\n // Padding distribution configuration.\n PaddingDistribution padding_distribution{};\n\n // Enable advanced padding distribution (uses paddi**********ution config).\n bool use_advanced_padding{false};\n\n // Timing jitter model.\n TimingJitterModel timing_jitter_model{TimingJitterModel::kPoisson};\n\n // Timing jitter scale factor (multiplier for base jitter).\n float timing_jitter_scale{1.0f};\n\n // Heartbeat configuration.\n HeartbeatType heartbeat_type{HeartbeatType::kIoTSensor};\n\n // IoT sensor template for heartbeat payloads.\n IoTSensorTemplate iot_sensor_template{};\n\n // Enable entropy normalization for heartbeat messages.\n bool heartbeat_entropy_normalization{true};\n};\n\n// Obfuscation metrics for DPI/ML analysis.\nstruct ObfuscationMetrics {\n // Packet size statistics (sliding window).\n std::uint64_t packets_measured{0};\n double avg_packet_size{0.0};\n double packet_size_variance{0.0};\n double packet_size_stddev{0.0};\n std::uint16_t min_packet_size{0};\n std::uint16_t max_packet_size{0};\n\n // Packet size histogram (for DPI analysis).\n std::array<std::uint64_t, 16> size_histogram{}; // Buckets: 0-64, 64-128, ..., 960-1024+\n\n // Inter-packet timing statistics.\n double avg_interval_ms{0.0};\n double interval_variance{0.0};\n double interval_stddev{0.0};\n\n // Timing histogram (for pattern detection).\n std::array<std::uint64_t, 16> timing_histogram{}; // Buckets: 0-10ms, 10-20ms, ...\n\n // Heartbeat statistics.\n std::uint64_t heartbeats_sent{0};\n std::uint64_t heartbeats_received{0};\n double heartbeat_ratio{0.0}; // heartbeats / total packets\n\n // Padding statistics.\n std::uint64_t total_padding_bytes{0};\n double avg_padding_per_packet{0.0};\n\n // Padding size class distribution.\n std::uint64_t small_padding_count{0};\n std::uint64_t medium_padding_count{0};\n std::uint64_t large_padding_count{0};\n\n // Prefix statistics.\n std::uint64_t total_prefix_bytes{0};\n double avg_prefix_per_packet{0.0};\n\n // Jitter statistics.\n std::uint64_t jitter_applied_count{0};\n double avg_jitter_ms{0.0};\n double jitter_stddev{0.0};\n};\n\n// Configuration file section for obfuscation.\nstruct ObfuscationConfig {\n bool enabled{true};\n std::uint16_t max_padding_size{400};\n std::string profile_seed_hex; // Hex-encoded seed, \"auto\" for random.\n std::chrono::seconds heartbeat_interval_min{5};\n std::chrono::seconds heartbeat_interval_max{15};\n bool enable_timing_jitter{true};\n};\n\n// Parse obfuscation config from key-value pairs.\n// Typically called from INI/config file parser.\nstd::optional<ObfuscationConfig> parse_obfuscation_config(\n const std::string& enabled, const std::string& max_padding,\n const std::string& profile_seed, const std::string& heartbeat_min,\n const std::string& heartbeat_max, const std::string& timing_jitter);\n\n// Convert ObfuscationConfig to runtime ObfuscationProfile.\nObfuscationProfile config_to_profile(const ObfuscationConfig& config);\n\n// Generate a random profile seed.\nstd::array<std::uint8_t, kProfileSeedSize> generate_profile_seed();\n\n// Compute deterministic padding size based on profile seed and sequence.\nstd::uint16_t compute_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute padding size using advanced distribution (small/medium/large classes).\nstd::uint16_t compute_advanced_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Determine which padding size class to use for a given sequence.\nPaddingSizeClass compute_padding_class(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute deterministic prefix size based on profile seed and sequence.\nstd::uint8_t compute_prefix_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter in milliseconds based on profile seed and sequence.\nstd::uint16_t compute_timing_jitter(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter using Poisson/Exponential model.\n// Returns timestamp offset in microseconds.\nstd::chrono::microseconds compute_timing_jitter_advanced(const ObfuscationProfile& profile,\n std::uint64_t sequence);\n\n// Calculate next send timestamp with jitter applied.\n// base_ts: the base timestamp when packet would normally be sent.\n// Returns adjusted timestamp with jitter.\nstd::chrono::steady_clock::time_point calculate_next_send_ts(\n const ObfuscationProfile& profile, std::uint64_t sequence,\n std::chrono::steady_clock::time_point base_ts);\n\n// Compute heartbeat interval based on profile seed.\nstd::chrono::milliseconds compute_heartbeat_interval(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_count);\n\n// Generate IoT-like sensor payload for heartbeat.\n// Returns deterministic payload based on profile seed and sequence.\nstd::vector<std::uint8_t> generate_iot_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate generic telemetry payload for heartbeat.\nstd::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate heartbeat payload based on configured heartbeat type.\nstd::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Apply entropy normalization to a buffer (fills gaps with pseudo-random data).\nvoid apply_entropy_normalization(std::vector<std::uint8_t>& buffer,\n const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t sequence);\n\n// Update obfuscation metrics with a new packet measurement.\nvoid update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n std::uint16_t padding_size, std::uint16_t prefix_size,\n double interval_ms, bool is_heartbeat);\n\n// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n} // namespace veil::obfuscation\n",
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"text": "Excellent! I can see that the obfuscation framework is already quite comprehensive. Now let me start implementing the Windows support. I'll create a foundational architecture document and then start with the actual code.\n\nLet me first create a Windows platform abstraction layer:"
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"content": "# Windows Architecture for VEIL\n\n## Overview\n\nThis document describes the Windows-specific architecture for VEIL VPN client and server with GUI support.\n\n## Architecture Components\n\n```\n┌──────────────────────────────────┐\n│ 1. GUI Application (Frontend) │\n│ Qt6 (Cross-platform) │\n└───────────────┬──────────────────┘\n │ IPC (Named Pipes on Windows, Unix Sockets on Linux)\n┌───────────────▼──────────────────┐\n│ 2. Core Service (Backend) │\n│ Windows Service + VEIL core │\n│ Owns: TUN, UDP socket, logic │\n└───────────────┬──────────────────┘\n │ Kernel-mode driver\n┌───────────────▼──────────────────┐\n│ 3. wintun.sys (WireGuard TUN) │\n│ Virtual network interface │\n└───────────────────────────────────┘\n```\n\n## Platform Abstraction Strategy\n\n### 1. TUN Device Abstraction\n\n**File Structure:**\n- `src/tun/tun_device.h` - Common interface (already exists)\n- `src/tun/tun_device_linux.cpp` - Linux implementation (rename from tun_device.cpp)\n- `src/tun/tun_device_windows.cpp` - Windows implementation (new)\n- `src/tun/tun_device.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- Uses wintun.dll API\n- Manages adapter lifecycle\n- Ring buffer for packet I/O\n- Thread-based packet reading (wintun doesn't provide fd for epoll)\n\n### 2. IPC Abstraction\n\n**File Structure:**\n- `src/common/ipc/ipc_protocol.h` - Protocol definitions (already exists)\n- `src/common/ipc/ipc_socket.h` - Common interface (already exists)\n- `src/common/ipc/ipc_socket_unix.cpp` - Unix domain socket impl (rename)\n- `src/common/ipc/ipc_socket_windows.cpp` - Named pipes impl (new)\n- `src/common/ipc/ipc_socket.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- Named Pipes (`\\\\.\\pipe\\veil-client`, `\\\\.\\pipe\\veil-server`)\n- Overlapped I/O for async operations\n- Same JSON protocol over pipes\n\n### 3. Routing Abstraction\n\n**File Structure:**\n- `src/tun/routing.h` - Common interface (already exists)\n- `src/tun/routing_linux.cpp` - Linux implementation (rename)\n- `src/tun/routing_windows.cpp` - Windows implementation (new)\n- `src/tun/routing.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- IP Helper API (iphlpapi.h)\n- CreateIpForwardEntry/DeleteIpForwardEntry\n- GetIpForwardTable for route enumeration\n- No shell commands needed\n\n### 4. Windows Service\n\n**New Component:**\n- `src/windows/service_main.cpp` - Windows service entry point\n- `src/windows/service_manager.cpp` - Service control\n- Service name: \"VEILService\"\n- Auto-start capability\n- Graceful shutdown handling\n\n## DPI Bypass Modes\n\n### Mode A: IoT Mimic\nAlready partially implemented via IoTSensor heartbeat type.\n\n**Enhancements:**\n- Lower heartbeat interval (10-20 sec)\n- Smaller packet sizes (prefer small padding class 60%)\n- More consistent timing (lower jitter)\n\n### Mode B: QUIC-Like\nNew profile configuration.\n\n**Characteristics:**\n- Large initial packets (800-1200 bytes)\n- Higher timing jitter\n- Burst patterns\n- Exponential timing model\n\n### Mode C: Random-Noise Stealth\nMaximum entropy mode.\n\n**Characteristics:**\n- Maximum size variance\n- Maximum timing jitter\n- Aggressive fragmentation\n- Disable regular heartbeats\n\n### Mode D: Trickle Mode\nLow-bandwidth stealth.\n\n**Characteristics:**\n- Rate limiting (10-50 kbit/s)\n- High delays (100-500ms jitter)\n- Small packets only\n- Very infrequent heartbeats\n\n## Implementation Phases\n\n### Phase 1: Core Platform Abstraction (Current)\n- [x] Document Windows architecture\n- [ ] Create platform abstraction for TUN device\n- [ ] Add Windows-specific CMake configuration\n- [ ] Create Windows TUN stub implementation\n\n### Phase 2: Windows TUN Integration\n- [ ] Integrate wintun SDK\n- [ ] Implement Windows TUN device\n- [ ] Test basic packet I/O\n\n### Phase 3: Windows IPC\n- [ ] Implement Named Pipes IPC\n- [ ] Test GUI-to-service communication\n- [ ] Port existing IPC server/client\n\n### Phase 4: Windows Routing\n- [ ] Implement IP Helper API routing\n- [ ] Test route manipulation\n- [ ] Implement split-tunneling\n\n### Phase 5: DPI Bypass Modes\n- [ ] Define 4 DPI mode profiles\n- [ ] Add mode selection to GUI\n- [ ] Implement mode-specific parameters\n- [ ] Add metrics for mode effectiveness\n\n### Phase 6: Windows Service\n- [ ] Implement service wrapper\n- [ ] Add service installation/uninstallation\n- [ ] Integrate with daemon main loop\n\n### Phase 7: Production Features\n- [ ] Auto-update module\n- [ ] Diagnostics enhancements\n- [ ] Installer creation\n- [ ] Documentation\n\n## Build System Changes\n\n### CMake Platform Detection\n\n```cmake\nif(WIN32)\n # Windows-specific sources\n set(VEIL_TUN_IMPL src/tun/tun_device_windows.cpp)\n set(VEIL_IPC_IMPL src/common/ipc/ipc_socket_windows.cpp)\n set(VEIL_ROUTING_IMPL src/tun/routing_windows.cpp)\n\n # Windows-specific libraries\n target_link_libraries(veil_common PRIVATE iphlpapi ws2_32)\n\n # Wintun SDK\n find_package(Wintun REQUIRED)\n target_link_libraries(veil_common PRIVATE Wintun::Wintun)\nelse()\n # Linux-specific sources\n set(VEIL_TUN_IMPL src/tun/tun_device_linux.cpp)\n set(VEIL_IPC_IMPL src/common/ipc/ipc_socket_unix.cpp)\n set(VEIL_ROUTING_IMPL src/tun/routing_linux.cpp)\nendif()\n```\n\n## Testing Strategy\n\n### Windows-Specific Tests\n- Unit tests for wintun adapter management\n- Integration tests for Windows routing\n- IPC communication tests (Named Pipes)\n\n### CI/CD\n- Add Windows runner to GitHub Actions\n- Build on Windows with MSVC\n- Run tests on Windows Server\n\n## Security Considerations\n\n### Service Isolation\n- Run service with minimal privileges\n- Use service-specific user account\n- Restrict file system access\n\n### Driver Trust\n- Wintun.sys is signed by WireGuard\n- Verify driver signature on installation\n- No custom kernel drivers\n\n### IPC Security\n- Named Pipes with restricted ACLs\n- Only local administrator can connect\n- Message validation and authentication\n\n## Open Questions\n\n1. **Development Environment**: Need Windows dev environment with Visual Studio\n2. **Wintun Licensing**: Wintun is GPL/Apache dual-licensed, need to verify compatibility\n3. **Service Privileges**: What minimum privileges does the service need?\n4. **GUI Elevation**: Should GUI require administrator, or only service?\n\n## References\n\n- [Wintun Documentation](https://www.wintun.net/)\n- [IP Helper API Documentation](https://docs.microsoft.com/en-us/windows/win32/api/iphlpapi/)\n- [Windows Services](https://docs.microsoft.com/en-us/windows/win32/services/services)\n- [Named Pipes](https://docs.microsoft.com/en-us/windows/win32/ipc/named-pipes)\n"
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"content": "# Windows Architecture for VEIL\n\n## Overview\n\nThis document describes the Windows-specific architecture for VEIL VPN client and server with GUI support.\n\n## Architecture Components\n\n```\n┌──────────────────────────────────┐\n│ 1. GUI Application (Frontend) │\n│ Qt6 (Cross-platform) │\n└───────────────┬──────────────────┘\n │ IPC (Named Pipes on Windows, Unix Sockets on Linux)\n┌───────────────▼──────────────────┐\n│ 2. Core Service (Backend) │\n│ Windows Service + VEIL core │\n│ Owns: TUN, UDP socket, logic │\n└───────────────┬──────────────────┘\n │ Kernel-mode driver\n┌───────────────▼──────────────────┐\n│ 3. wintun.sys (WireGuard TUN) │\n│ Virtual network interface │\n└───────────────────────────────────┘\n```\n\n## Platform Abstraction Strategy\n\n### 1. TUN Device Abstraction\n\n**File Structure:**\n- `src/tun/tun_device.h` - Common interface (already exists)\n- `src/tun/tun_device_linux.cpp` - Linux implementation (rename from tun_device.cpp)\n- `src/tun/tun_device_windows.cpp` - Windows implementation (new)\n- `src/tun/tun_device.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- Uses wintun.dll API\n- Manages adapter lifecycle\n- Ring buffer for packet I/O\n- Thread-based packet reading (wintun doesn't provide fd for epoll)\n\n### 2. IPC Abstraction\n\n**File Structure:**\n- `src/common/ipc/ipc_protocol.h` - Protocol definitions (already exists)\n- `src/common/ipc/ipc_socket.h` - Common interface (already exists)\n- `src/common/ipc/ipc_socket_unix.cpp` - Unix domain socket impl (rename)\n- `src/common/ipc/ipc_socket_windows.cpp` - Named pipes impl (new)\n- `src/common/ipc/ipc_socket.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- Named Pipes (`\\\\.\\pipe\\veil-client`, `\\\\.\\pipe\\veil-server`)\n- Overlapped I/O for async operations\n- Same JSON protocol over pipes\n\n### 3. Routing Abstraction\n\n**File Structure:**\n- `src/tun/routing.h` - Common interface (already exists)\n- `src/tun/routing_linux.cpp` - Linux implementation (rename)\n- `src/tun/routing_windows.cpp` - Windows implementation (new)\n- `src/tun/routing.cpp` - Platform dispatcher (new)\n\n**Windows Implementation:**\n- IP Helper API (iphlpapi.h)\n- CreateIpForwardEntry/DeleteIpForwardEntry\n- GetIpForwardTable for route enumeration\n- No shell commands needed\n\n### 4. Windows Service\n\n**New Component:**\n- `src/windows/service_main.cpp` - Windows service entry point\n- `src/windows/service_manager.cpp` - Service control\n- Service name: \"VEILService\"\n- Auto-start capability\n- Graceful shutdown handling\n\n## DPI Bypass Modes\n\n### Mode A: IoT Mimic\nAlready partially implemented via IoTSensor heartbeat type.\n\n**Enhancements:**\n- Lower heartbeat interval (10-20 sec)\n- Smaller packet sizes (prefer small padding class 60%)\n- More consistent timing (lower jitter)\n\n### Mode B: QUIC-Like\nNew profile configuration.\n\n**Characteristics:**\n- Large initial packets (800-1200 bytes)\n- Higher timing jitter\n- Burst patterns\n- Exponential timing model\n\n### Mode C: Random-Noise Stealth\nMaximum entropy mode.\n\n**Characteristics:**\n- Maximum size variance\n- Maximum timing jitter\n- Aggressive fragmentation\n- Disable regular heartbeats\n\n### Mode D: Trickle Mode\nLow-bandwidth stealth.\n\n**Characteristics:**\n- Rate limiting (10-50 kbit/s)\n- High delays (100-500ms jitter)\n- Small packets only\n- Very infrequent heartbeats\n\n## Implementation Phases\n\n### Phase 1: Core Platform Abstraction (Current)\n- [x] Document Windows architecture\n- [ ] Create platform abstraction for TUN device\n- [ ] Add Windows-specific CMake configuration\n- [ ] Create Windows TUN stub implementation\n\n### Phase 2: Windows TUN Integration\n- [ ] Integrate wintun SDK\n- [ ] Implement Windows TUN device\n- [ ] Test basic packet I/O\n\n### Phase 3: Windows IPC\n- [ ] Implement Named Pipes IPC\n- [ ] Test GUI-to-service communication\n- [ ] Port existing IPC server/client\n\n### Phase 4: Windows Routing\n- [ ] Implement IP Helper API routing\n- [ ] Test route manipulation\n- [ ] Implement split-tunneling\n\n### Phase 5: DPI Bypass Modes\n- [ ] Define 4 DPI mode profiles\n- [ ] Add mode selection to GUI\n- [ ] Implement mode-specific parameters\n- [ ] Add metrics for mode effectiveness\n\n### Phase 6: Windows Service\n- [ ] Implement service wrapper\n- [ ] Add service installation/uninstallation\n- [ ] Integrate with daemon main loop\n\n### Phase 7: Production Features\n- [ ] Auto-update module\n- [ ] Diagnostics enhancements\n- [ ] Installer creation\n- [ ] Documentation\n\n## Build System Changes\n\n### CMake Platform Detection\n\n```cmake\nif(WIN32)\n # Windows-specific sources\n set(VEIL_TUN_IMPL src/tun/tun_device_windows.cpp)\n set(VEIL_IPC_IMPL src/common/ipc/ipc_socket_windows.cpp)\n set(VEIL_ROUTING_IMPL src/tun/routing_windows.cpp)\n\n # Windows-specific libraries\n target_link_libraries(veil_common PRIVATE iphlpapi ws2_32)\n\n # Wintun SDK\n find_package(Wintun REQUIRED)\n target_link_libraries(veil_common PRIVATE Wintun::Wintun)\nelse()\n # Linux-specific sources\n set(VEIL_TUN_IMPL src/tun/tun_device_linux.cpp)\n set(VEIL_IPC_IMPL src/common/ipc/ipc_socket_unix.cpp)\n set(VEIL_ROUTING_IMPL src/tun/routing_linux.cpp)\nendif()\n```\n\n## Testing Strategy\n\n### Windows-Specific Tests\n- Unit tests for wintun adapter management\n- Integration tests for Windows routing\n- IPC communication tests (Named Pipes)\n\n### CI/CD\n- Add Windows runner to GitHub Actions\n- Build on Windows with MSVC\n- Run tests on Windows Server\n\n## Security Considerations\n\n### Service Isolation\n- Run service with minimal privileges\n- Use service-specific user account\n- Restrict file system access\n\n### Driver Trust\n- Wintun.sys is signed by WireGuard\n- Verify driver signature on installation\n- No custom kernel drivers\n\n### IPC Security\n- Named Pipes with restricted ACLs\n- Only local administrator can connect\n- Message validation and authentication\n\n## Open Questions\n\n1. **Development Environment**: Need Windows dev environment with Visual Studio\n2. **Wintun Licensing**: Wintun is GPL/Apache dual-licensed, need to verify compatibility\n3. **Service Privileges**: What minimum privileges does the service need?\n4. **GUI Elevation**: Should GUI require administrator, or only service?\n\n## References\n\n- [Wintun Documentation](https://www.wintun.net/)\n- [IP Helper API Documentation](https://docs.microsoft.com/en-us/windows/win32/api/iphlpapi/)\n- [Windows Services](https://docs.microsoft.com/en-us/windows/win32/services/services)\n- [Named Pipes](https://docs.microsoft.com/en-us/windows/win32/ipc/named-pipes)\n",
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"content": "# DPI Bypass Modes for VEIL\n\n## Overview\n\nVEIL implements four distinct DPI (Deep Packet Inspection) bypass modes to evade various traffic analysis systems. Each mode simulates different traffic patterns to blend with legitimate network activity.\n\n## Mode Profiles\n\n### Mode A: IoT Mimic\n\n**Purpose:** Simulate IoT device telemetry traffic (smart sensors, home automation)\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Predominantly small (60-150 bytes), occasional medium bursts\n- **Timing Pattern:** Regular heartbeats every 10-20 seconds\n- **Payload Structure:** Sensor-like data (temperature, humidity, battery readings)\n- **Burst Behavior:** Minimal bursts, mostly steady periodic traffic\n- **Entropy:** Medium entropy (structured data with some randomness)\n\n**Configuration:**\n```cpp\nObfuscationProfile iot_mimic_mode{\n .enabled = true,\n .max_padding_size = 200,\n .min_padding_size = 20,\n .min_prefix_size = 4,\n .max_prefix_size = 8,\n .heartbeat_min = 10s,\n .heartbeat_max = 20s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 30,\n .size_variance = 0.3f, // Low variance for consistent sensor traffic\n .padding_distribution = {\n .small_weight = 70, // Predominantly small packets\n .medium_weight = 25,\n .large_weight = 5,\n .small_min = 20,\n .small_max = 150,\n .medium_min = 150,\n .medium_max = 300,\n .large_min = 300,\n .large_max = 500,\n .jitter_range = 15\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kPoisson,\n .timing_jitter_scale = 0.8f, // Lower jitter scale for predictable traffic\n .heartbeat_type = HeartbeatType::kIoTSensor,\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Use Case:** General purpose, good balance of stealth and performance.\n\n---\n\n### Mode B: QUIC-Like\n\n**Purpose:** Mimic QUIC protocol traffic (modern HTTP/3, Chrome browser patterns)\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Large initial packets (ClientHello-like), then variable\n- **Timing Pattern:** Bursty with varying inter-packet delays\n- **Payload Structure:** High entropy throughout (encrypted QUIC frames)\n- **Burst Behavior:** Initial burst, then sporadic activity with quiet periods\n- **Entropy:** High entropy (looks like encrypted QUIC)\n\n**Configuration:**\n```cpp\nObfuscationProfile quic_like_mode{\n .enabled = true,\n .max_padding_size = 1200,\n .min_padding_size = 100,\n .min_prefix_size = 8,\n .max_prefix_size = 16,\n .heartbeat_min = 30s,\n .heartbeat_max = 60s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 100,\n .size_variance = 0.7f, // High variance like QUIC\n .padding_distribution = {\n .small_weight = 20,\n .medium_weight = 30,\n .large_weight = 50, // Predominantly large packets\n .small_min = 100,\n .small_max = 300,\n .medium_min = 300,\n .medium_max = 800,\n .large_min = 800,\n .large_max = 1200,\n .jitter_range = 50\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kExponential, // Bursty timing\n .timing_jitter_scale = 1.5f, // Higher jitter for QUIC-like burstiness\n .heartbeat_type = HeartbeatType::kGenericTelemetry,\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Special Features:**\n- First 3-5 packets should be large (>1000 bytes) to mimic QUIC ClientHello/ServerHello\n- Implement connection migration-like behavior (occasional endpoint changes)\n\n**Use Case:** High-throughput scenarios, modern web traffic camouflage.\n\n---\n\n### Mode C: Random-Noise Stealth\n\n**Purpose:** Maximum unpredictability and entropy\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Completely random within full range\n- **Timing Pattern:** Maximum jitter, unpredictable intervals\n- **Payload Structure:** Maximum entropy (pure noise)\n- **Burst Behavior:** Unpredictable, simulates poor Wi-Fi conditions\n- **Entropy:** Maximum entropy\n\n**Configuration:**\n```cpp\nObfuscationProfile random_noise_mode{\n .enabled = true,\n .max_padding_size = 1000,\n .min_padding_size = 0,\n .min_prefix_size = 4,\n .max_prefix_size = 20,\n .heartbeat_min = 60s, // Infrequent heartbeats\n .heartbeat_max = 180s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 500, // Extreme jitter\n .size_variance = 1.0f, // Maximum variance\n .padding_distribution = {\n .small_weight = 33, // Equal distribution\n .medium_weight = 33,\n .large_weight = 34,\n .small_min = 0,\n .small_max = 333,\n .medium_min = 333,\n .medium_max = 666,\n .large_min = 666,\n .large_max = 1000,\n .jitter_range = 100\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kUniform, // Random timing\n .timing_jitter_scale = 2.0f, // Maximum jitter scale\n .heartbeat_type = HeartbeatType::kEmpty, // Minimal heartbeats\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Special Features:**\n- Aggressive fragmentation (split messages more frequently)\n- No regular patterns whatsoever\n- Simulates packet loss recovery patterns\n\n**Use Case:** Extreme censorship scenarios, when detection risk is high.\n\n---\n\n### Mode D: Trickle Mode\n\n**Purpose:** Low-and-slow traffic for maximum stealth\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Small only (mimics very constrained IoT)\n- **Timing Pattern:** Very slow, high delays between packets\n- **Payload Structure:** Minimal, structured like ultra-low-power devices\n- **Burst Behavior:** No bursts, strictly rate-limited\n- **Entropy:** Low-medium entropy\n\n**Configuration:**\n```cpp\nObfuscationProfile trickle_mode{\n .enabled = true,\n .max_padding_size = 100,\n .min_padding_size = 10,\n .min_prefix_size = 4,\n .max_prefix_size = 6,\n .heartbeat_min = 120s, // Very infrequent heartbeats\n .heartbeat_max = 300s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 500, // High jitter for stealth\n .size_variance = 0.2f, // Low variance (consistent small packets)\n .padding_distribution = {\n .small_weight = 100, // Only small packets\n .medium_weight = 0,\n .large_weight = 0,\n .small_min = 10,\n .small_max = 100,\n .medium_min = 0,\n .medium_max = 0,\n .large_min = 0,\n .large_max = 0,\n .jitter_range = 10\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kPoisson,\n .timing_jitter_scale = 1.2f,\n .heartbeat_type = HeartbeatType::kTimestamp, // Minimal heartbeat data\n .heartbeat_entropy_normalization = false // Low entropy for IoT-like traffic\n};\n```\n\n**Special Features:**\n- Rate limiting: 10-50 kbit/s enforced at application layer\n- Delay injection: 100-500ms between packets\n- No retransmission bursts (use longer timeouts instead)\n\n**Use Case:** Situations where any traffic spike triggers DPI alerts.\n\n---\n\n## Implementation Details\n\n### 1. Mode Selection API\n\nAdd to `ObfuscationProfile`:\n\n```cpp\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0,\n kQUICLike = 1,\n kRandomNoise = 2,\n kTrickle = 3,\n kCustom = 255 // User-defined profile\n};\n\n// Factory function to create profile for a given mode\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);\n\n// Get human-readable mode name\nconst char* dpi_mode_to_string(DPIBypassMode mode);\n\n// Parse mode from string\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);\n```\n\n### 2. Rate Limiting for Trickle Mode\n\nNew component: `src/transport/rate_limiter.h`\n\n```cpp\nclass Token************miter {\n public:\n explicit TokenBucketRateLimiter(std::uint32_t rate_bps, std::uint32_t burst_bytes);\n\n // Check if we can send N bytes now\n bool can_send(std::uint32_t bytes);\n\n // Consume N bytes from bucket (call after sending)\n void consume(std::uint32_t bytes);\n\n // Get delay until N bytes can be sent (in milliseconds)\n std::uint32_t delay_until_ready(std::uint32_t bytes) const;\n\n private:\n std::uint32_t rate_bps_;\n std::uint32_t burst_bytes_;\n std::uint32_t tokens_;\n std::chrono::steady_clock::time_point last_refill_;\n};\n```\n\n### 3. GUI Integration\n\nAdd to `SettingsWidget`:\n\n```cpp\n// DPI Bypass Mode Selection\nQComboBox* dpiModeCombo_;\nQLabel* dpiModeDescription_;\n\n// Mode descriptions\nstatic constexpr const char* kIoTMimicDesc =\n \"IoT Mimic: Simulates smart sensor traffic. Good balance of stealth and performance.\";\nstatic constexpr const char* kQUICLikeDesc =\n \"QUIC-Like: Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";\nstatic constexpr const char* kRandomNoiseDesc =\n \"Random-Noise: Maximum unpredictability. Use in extreme censorship scenarios.\";\nstatic constexpr const char* kTrickleDesc =\n \"Trickle: Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";\n```\n\n### 4. IPC Protocol Extension\n\nAdd to `ipc_protocol.h`:\n\n```cpp\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0,\n kQUICLike = 1,\n kRandomNoise = 2,\n kTrickle = 3\n};\n\nstruct ConnectionConfig {\n // ... existing fields ...\n DPIBypassMode dpi_mode{DPIBypassMode::kIoTMimic};\n};\n\nstruct DiagnosticsData {\n // ... existing fields ...\n std::string active_dpi_mode;\n ObfuscationMetrics obfuscation; // Already exists\n};\n```\n\n## Testing and Validation\n\n### Traffic Pattern Analysis\n\nFor each mode, validate:\n\n1. **Packet Size Distribution**\n - Plot histogram of packet sizes\n - Verify matches expected distribution for mode\n\n2. **Inter-Packet Timing**\n - Plot timing intervals\n - Check for unintended patterns\n\n3. **Entropy Analysis**\n - Measure payload entropy\n - Ensure high entropy for all modes\n\n4. **DPI Evasion Tests**\n - Test against known DPI systems (nDPI, Snort rules)\n - Verify no static signatures detected\n\n### Performance Benchmarks\n\n- **IoT Mimic:** Should achieve 80-100% of baseline throughput\n- **QUIC-Like:** Should achieve 90-100% of baseline throughput\n- **Random-Noise:** May have 70-90% of baseline due to overhead\n- **Trickle:** Intentionally limited to 10-50 kbit/s\n\n## Security Considerations\n\n1. **Mode Switching:** Changing modes should trigger session rekeying to avoid correlation\n2. **Fingerprinting:** Each mode should avoid predictable patterns across sessions\n3. **Replay Protection:** Applies regardless of mode\n4. **Traffic Analysis Resistance:** Long-term observation should not reveal VPN usage\n\n## Future Enhancements\n\n1. **Adaptive Mode Selection:** Automatically switch modes based on detected DPI\n2. **Mode Chaining:** Alternate between modes mid-session\n3. **Machine Learning Evasion:** Train adversarial models to evade ML-based DPI\n4. **Custom Mode Builder:** GUI for creating user-defined profiles\n\n## References\n\n- [Traffic Obfuscation Techniques](https://www.ndss-symposium.org/ndss-paper/how-china-detects-and-blocks-shadowsocks/)\n- [QUIC Protocol Specification](https://www.rfc-editor.org/rfc/rfc9000.html)\n- [IoT Traffic Patterns Analysis](https://ieeexplore.ieee.org/document/8424631)\n"
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"content": "# DPI Bypass Modes for VEIL\n\n## Overview\n\nVEIL implements four distinct DPI (Deep Packet Inspection) bypass modes to evade various traffic analysis systems. Each mode simulates different traffic patterns to blend with legitimate network activity.\n\n## Mode Profiles\n\n### Mode A: IoT Mimic\n\n**Purpose:** Simulate IoT device telemetry traffic (smart sensors, home automation)\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Predominantly small (60-150 bytes), occasional medium bursts\n- **Timing Pattern:** Regular heartbeats every 10-20 seconds\n- **Payload Structure:** Sensor-like data (temperature, humidity, battery readings)\n- **Burst Behavior:** Minimal bursts, mostly steady periodic traffic\n- **Entropy:** Medium entropy (structured data with some randomness)\n\n**Configuration:**\n```cpp\nObfuscationProfile iot_mimic_mode{\n .enabled = true,\n .max_padding_size = 200,\n .min_padding_size = 20,\n .min_prefix_size = 4,\n .max_prefix_size = 8,\n .heartbeat_min = 10s,\n .heartbeat_max = 20s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 30,\n .size_variance = 0.3f, // Low variance for consistent sensor traffic\n .padding_distribution = {\n .small_weight = 70, // Predominantly small packets\n .medium_weight = 25,\n .large_weight = 5,\n .small_min = 20,\n .small_max = 150,\n .medium_min = 150,\n .medium_max = 300,\n .large_min = 300,\n .large_max = 500,\n .jitter_range = 15\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kPoisson,\n .timing_jitter_scale = 0.8f, // Lower jitter scale for predictable traffic\n .heartbeat_type = HeartbeatType::kIoTSensor,\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Use Case:** General purpose, good balance of stealth and performance.\n\n---\n\n### Mode B: QUIC-Like\n\n**Purpose:** Mimic QUIC protocol traffic (modern HTTP/3, Chrome browser patterns)\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Large initial packets (ClientHello-like), then variable\n- **Timing Pattern:** Bursty with varying inter-packet delays\n- **Payload Structure:** High entropy throughout (encrypted QUIC frames)\n- **Burst Behavior:** Initial burst, then sporadic activity with quiet periods\n- **Entropy:** High entropy (looks like encrypted QUIC)\n\n**Configuration:**\n```cpp\nObfuscationProfile quic_like_mode{\n .enabled = true,\n .max_padding_size = 1200,\n .min_padding_size = 100,\n .min_prefix_size = 8,\n .max_prefix_size = 16,\n .heartbeat_min = 30s,\n .heartbeat_max = 60s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 100,\n .size_variance = 0.7f, // High variance like QUIC\n .padding_distribution = {\n .small_weight = 20,\n .medium_weight = 30,\n .large_weight = 50, // Predominantly large packets\n .small_min = 100,\n .small_max = 300,\n .medium_min = 300,\n .medium_max = 800,\n .large_min = 800,\n .large_max = 1200,\n .jitter_range = 50\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kExponential, // Bursty timing\n .timing_jitter_scale = 1.5f, // Higher jitter for QUIC-like burstiness\n .heartbeat_type = HeartbeatType::kGenericTelemetry,\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Special Features:**\n- First 3-5 packets should be large (>1000 bytes) to mimic QUIC ClientHello/ServerHello\n- Implement connection migration-like behavior (occasional endpoint changes)\n\n**Use Case:** High-throughput scenarios, modern web traffic camouflage.\n\n---\n\n### Mode C: Random-Noise Stealth\n\n**Purpose:** Maximum unpredictability and entropy\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Completely random within full range\n- **Timing Pattern:** Maximum jitter, unpredictable intervals\n- **Payload Structure:** Maximum entropy (pure noise)\n- **Burst Behavior:** Unpredictable, simulates poor Wi-Fi conditions\n- **Entropy:** Maximum entropy\n\n**Configuration:**\n```cpp\nObfuscationProfile random_noise_mode{\n .enabled = true,\n .max_padding_size = 1000,\n .min_padding_size = 0,\n .min_prefix_size = 4,\n .max_prefix_size = 20,\n .heartbeat_min = 60s, // Infrequent heartbeats\n .heartbeat_max = 180s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 500, // Extreme jitter\n .size_variance = 1.0f, // Maximum variance\n .padding_distribution = {\n .small_weight = 33, // Equal distribution\n .medium_weight = 33,\n .large_weight = 34,\n .small_min = 0,\n .small_max = 333,\n .medium_min = 333,\n .medium_max = 666,\n .large_min = 666,\n .large_max = 1000,\n .jitter_range = 100\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kUniform, // Random timing\n .timing_jitter_scale = 2.0f, // Maximum jitter scale\n .heartbeat_type = HeartbeatType::kEmpty, // Minimal heartbeats\n .heartbeat_entropy_normalization = true\n};\n```\n\n**Special Features:**\n- Aggressive fragmentation (split messages more frequently)\n- No regular patterns whatsoever\n- Simulates packet loss recovery patterns\n\n**Use Case:** Extreme censorship scenarios, when detection risk is high.\n\n---\n\n### Mode D: Trickle Mode\n\n**Purpose:** Low-and-slow traffic for maximum stealth\n\n**Traffic Characteristics:**\n- **Packet Sizes:** Small only (mimics very constrained IoT)\n- **Timing Pattern:** Very slow, high delays between packets\n- **Payload Structure:** Minimal, structured like ultra-low-power devices\n- **Burst Behavior:** No bursts, strictly rate-limited\n- **Entropy:** Low-medium entropy\n\n**Configuration:**\n```cpp\nObfuscationProfile trickle_mode{\n .enabled = true,\n .max_padding_size = 100,\n .min_padding_size = 10,\n .min_prefix_size = 4,\n .max_prefix_size = 6,\n .heartbeat_min = 120s, // Very infrequent heartbeats\n .heartbeat_max = 300s,\n .timing_jitter_enabled = true,\n .max_timing_jitter_ms = 500, // High jitter for stealth\n .size_variance = 0.2f, // Low variance (consistent small packets)\n .padding_distribution = {\n .small_weight = 100, // Only small packets\n .medium_weight = 0,\n .large_weight = 0,\n .small_min = 10,\n .small_max = 100,\n .medium_min = 0,\n .medium_max = 0,\n .large_min = 0,\n .large_max = 0,\n .jitter_range = 10\n },\n .use_advanced_padding = true,\n .timing_jitter_model = TimingJitterModel::kPoisson,\n .timing_jitter_scale = 1.2f,\n .heartbeat_type = HeartbeatType::kTimestamp, // Minimal heartbeat data\n .heartbeat_entropy_normalization = false // Low entropy for IoT-like traffic\n};\n```\n\n**Special Features:**\n- Rate limiting: 10-50 kbit/s enforced at application layer\n- Delay injection: 100-500ms between packets\n- No retransmission bursts (use longer timeouts instead)\n\n**Use Case:** Situations where any traffic spike triggers DPI alerts.\n\n---\n\n## Implementation Details\n\n### 1. Mode Selection API\n\nAdd to `ObfuscationProfile`:\n\n```cpp\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0,\n kQUICLike = 1,\n kRandomNoise = 2,\n kTrickle = 3,\n kCustom = 255 // User-defined profile\n};\n\n// Factory function to create profile for a given mode\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);\n\n// Get human-readable mode name\nconst char* dpi_mode_to_string(DPIBypassMode mode);\n\n// Parse mode from string\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);\n```\n\n### 2. Rate Limiting for Trickle Mode\n\nNew component: `src/transport/rate_limiter.h`\n\n```cpp\nclass Token************miter {\n public:\n explicit TokenBucketRateLimiter(std::uint32_t rate_bps, std::uint32_t burst_bytes);\n\n // Check if we can send N bytes now\n bool can_send(std::uint32_t bytes);\n\n // Consume N bytes from bucket (call after sending)\n void consume(std::uint32_t bytes);\n\n // Get delay until N bytes can be sent (in milliseconds)\n std::uint32_t delay_until_ready(std::uint32_t bytes) const;\n\n private:\n std::uint32_t rate_bps_;\n std::uint32_t burst_bytes_;\n std::uint32_t tokens_;\n std::chrono::steady_clock::time_point last_refill_;\n};\n```\n\n### 3. GUI Integration\n\nAdd to `SettingsWidget`:\n\n```cpp\n// DPI Bypass Mode Selection\nQComboBox* dpiModeCombo_;\nQLabel* dpiModeDescription_;\n\n// Mode descriptions\nstatic constexpr const char* kIoTMimicDesc =\n \"IoT Mimic: Simulates smart sensor traffic. Good balance of stealth and performance.\";\nstatic constexpr const char* kQUICLikeDesc =\n \"QUIC-Like: Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";\nstatic constexpr const char* kRandomNoiseDesc =\n \"Random-Noise: Maximum unpredictability. Use in extreme censorship scenarios.\";\nstatic constexpr const char* kTrickleDesc =\n \"Trickle: Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";\n```\n\n### 4. IPC Protocol Extension\n\nAdd to `ipc_protocol.h`:\n\n```cpp\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0,\n kQUICLike = 1,\n kRandomNoise = 2,\n kTrickle = 3\n};\n\nstruct ConnectionConfig {\n // ... existing fields ...\n DPIBypassMode dpi_mode{DPIBypassMode::kIoTMimic};\n};\n\nstruct DiagnosticsData {\n // ... existing fields ...\n std::string active_dpi_mode;\n ObfuscationMetrics obfuscation; // Already exists\n};\n```\n\n## Testing and Validation\n\n### Traffic Pattern Analysis\n\nFor each mode, validate:\n\n1. **Packet Size Distribution**\n - Plot histogram of packet sizes\n - Verify matches expected distribution for mode\n\n2. **Inter-Packet Timing**\n - Plot timing intervals\n - Check for unintended patterns\n\n3. **Entropy Analysis**\n - Measure payload entropy\n - Ensure high entropy for all modes\n\n4. **DPI Evasion Tests**\n - Test against known DPI systems (nDPI, Snort rules)\n - Verify no static signatures detected\n\n### Performance Benchmarks\n\n- **IoT Mimic:** Should achieve 80-100% of baseline throughput\n- **QUIC-Like:** Should achieve 90-100% of baseline throughput\n- **Random-Noise:** May have 70-90% of baseline due to overhead\n- **Trickle:** Intentionally limited to 10-50 kbit/s\n\n## Security Considerations\n\n1. **Mode Switching:** Changing modes should trigger session rekeying to avoid correlation\n2. **Fingerprinting:** Each mode should avoid predictable patterns across sessions\n3. **Replay Protection:** Applies regardless of mode\n4. **Traffic Analysis Resistance:** Long-term observation should not reveal VPN usage\n\n## Future Enhancements\n\n1. **Adaptive Mode Selection:** Automatically switch modes based on detected DPI\n2. **Mode Chaining:** Alternate between modes mid-session\n3. **Machine Learning Evasion:** Train adversarial models to evade ML-based DPI\n4. **Custom Mode Builder:** GUI for creating user-defined profiles\n\n## References\n\n- [Traffic Obfuscation Techniques](https://www.ndss-symposium.org/ndss-paper/how-china-detects-and-blocks-shadowsocks/)\n- [QUIC Protocol Specification](https://www.rfc-editor.org/rfc/rfc9000.html)\n- [IoT Traffic Patterns Analysis](https://ieeexplore.ieee.org/document/8424631)\n",
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"text": "Now let me implement the DPI bypass mode framework as it doesn't require Windows-specific code and can be done immediately:"
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"content": " 1→#include \"common/obfuscation/obfuscation_profile.h\"\n 2→\n 3→#include <algorithm>\n 4→#include <charconv>\n 5→#include <chrono>\n 6→#include <cmath>\n 7→#include <cstdint>\n 8→#include <cstring>\n 9→#include <optional>\n 10→#include <string>\n 11→\n 12→#include \"common/crypto/crypto_engine.h\"\n 13→#include \"common/crypto/random.h\"\n 14→\n 15→namespace veil::obfuscation {\n 16→\n 17→namespace {\n 18→\n 19→// Convert hex string to byte array.\n 20→bool hex_to_bytes(const std::string& hex, std::array<std::uint8_t, kProfileSeedSize>& out) {\n 21→ if (hex.size() != kProfileSeedSize * 2) {\n 22→ return false;\n 23→ }\n 24→ for (std::size_t i = 0; i < kProfileSeedSize; ++i) {\n 25→ const auto byte_str = hex.substr(i * 2, 2);\n 26→ std::uint8_t byte = 0;\n 27→ auto result = std::from_chars(byte_str.data(), byte_str.data() + 2, byte, 16);\n 28→ if (result.ec != std::errc{}) {\n 29→ return false;\n 30→ }\n 31→ out[i] = byte;\n 32→ }\n 33→ return true;\n 34→}\n 35→\n 36→// Derive a deterministic value using HMAC of seed + counter.\n 37→std::uint64_t derive_value(const std::array<std::uint8_t, kProfileSeedSize>& seed,\n 38→ std::uint64_t counter, const char* context) {\n 39→ // Create input: seed || counter || context.\n 40→ std::vector<std::uint8_t> input;\n 41→ input.reserve(seed.size() + 8 + std::strlen(context));\n 42→ input.insert(input.end(), seed.begin(), seed.end());\n 43→ for (int i = 7; i >= 0; --i) {\n 44→ input.push_back(static_cast<std::uint8_t>((counter >> (8 * i)) & 0xFF));\n 45→ }\n 46→ input.insert(input.end(), context, context + std::strlen(context));\n 47→\n 48→ // HMAC with seed as key.\n 49→ auto hmac = crypto::hmac_sha256(seed, input);\n 50→\n 51→ // Extract first 8 bytes as uint64.\n 52→ std::uint64_t value = 0;\n 53→ for (int i = 0; i < 8; ++i) {\n 54→ value = (value << 8) | hmac[static_cast<std::size_t>(i)];\n 55→ }\n 56→ return value;\n 57→}\n 58→\n 59→} // namespace\n 60→\n 61→std::optional<ObfuscationConfig> parse_obfuscation_config(\n 62→ const std::string& enabled, const std::string& max_padding,\n 63→ const std::string& profile_seed, const std::string& heartbeat_min,\n 64→ const std::string& heartbeat_max, const std::string& timing_jitter) {\n 65→ ObfuscationConfig config;\n 66→\n 67→ // Parse enabled.\n 68→ config.enabled = (enabled == \"true\" || enabled == \"1\" || enabled == \"yes\");\n 69→\n 70→ // Parse max_padding_size.\n 71→ if (!max_padding.empty()) {\n 72→ int val = 0;\n 73→ auto result = std::from_chars(max_padding.data(), max_padding.data() + max_padding.size(), val);\n 74→ if (result.ec == std::errc{} && val >= 0 && val <= 65535) {\n 75→ config.max_padding_size = static_cast<std::uint16_t>(val);\n 76→ }\n 77→ }\n 78→\n 79→ // Parse profile_seed.\n 80→ config.profile_seed_hex = profile_seed;\n 81→\n 82→ // Parse heartbeat intervals.\n 83→ if (!heartbeat_min.empty()) {\n 84→ int val = 0;\n 85→ auto result =\n 86→ std::from_chars(heartbeat_min.data(), heartbeat_min.data() + heartbeat_min.size(), val);\n 87→ if (result.ec == std::errc{} && val >= 0) {\n 88→ config.heartbeat_interval_min = std::chrono::seconds(val);\n 89→ }\n 90→ }\n 91→ if (!heartbeat_max.empty()) {\n 92→ int val = 0;\n 93→ auto result =\n 94→ std::from_chars(heartbeat_max.data(), heartbeat_max.data() + heartbeat_max.size(), val);\n 95→ if (result.ec == std::errc{} && val >= 0) {\n 96→ config.heartbeat_interval_max = std::chrono::seconds(val);\n 97→ }\n 98→ }\n 99→\n 100→ // Parse timing_jitter.\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#include \"common/obfuscation/obfuscation_profile.h\"\n\n#include <algorithm>\n#include <charconv>\n#include <chrono>\n#include <cmath>\n#include <cstdint>\n#include <cstring>\n#include <optional>\n#include <string>\n\n#include \"common/crypto/crypto_engine.h\"\n#include \"common/crypto/random.h\"\n\nnamespace veil::obfuscation {\n\nnamespace {\n\n// Convert hex string to byte array.\nbool hex_to_bytes(const std::string& hex, std::array<std::uint8_t, kProfileSeedSize>& out) {\n if (hex.size() != kProfileSeedSize * 2) {\n return false;\n }\n for (std::size_t i = 0; i < kProfileSeedSize; ++i) {\n const auto byte_str = hex.substr(i * 2, 2);\n std::uint8_t byte = 0;\n auto result = std::from_chars(byte_str.data(), byte_str.data() + 2, byte, 16);\n if (result.ec != std::errc{}) {\n return false;\n }\n out[i] = byte;\n }\n return true;\n}\n\n// Derive a deterministic value using HMAC of seed + counter.\nstd::uint64_t derive_value(const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t counter, const char* context) {\n // Create input: seed || counter || context.\n std::vector<std::uint8_t> input;\n input.reserve(seed.size() + 8 + std::strlen(context));\n input.insert(input.end(), seed.begin(), seed.end());\n for (int i = 7; i >= 0; --i) {\n input.push_back(static_cast<std::uint8_t>((counter >> (8 * i)) & 0xFF));\n }\n input.insert(input.end(), context, context + std::strlen(context));\n\n // HMAC with seed as key.\n auto hmac = crypto::hmac_sha256(seed, input);\n\n // Extract first 8 bytes as uint64.\n std::uint64_t value = 0;\n for (int i = 0; i < 8; ++i) {\n value = (value << 8) | hmac[static_cast<std::size_t>(i)];\n }\n return value;\n}\n\n} // namespace\n\nstd::optional<ObfuscationConfig> parse_obfuscation_config(\n const std::string& enabled, const std::string& max_padding,\n const std::string& profile_seed, const std::string& heartbeat_min,\n const std::string& heartbeat_max, const std::string& timing_jitter) {\n ObfuscationConfig config;\n\n // Parse enabled.\n config.enabled = (enabled == \"true\" || enabled == \"1\" || enabled == \"yes\");\n\n // Parse max_padding_size.\n if (!max_padding.empty()) {\n int val = 0;\n auto result = std::from_chars(max_padding.data(), max_padding.data() + max_padding.size(), val);\n if (result.ec == std::errc{} && val >= 0 && val <= 65535) {\n config.max_padding_size = static_cast<std::uint16_t>(val);\n }\n }\n\n // Parse profile_seed.\n config.profile_seed_hex = profile_seed;\n\n // Parse heartbeat intervals.\n if (!heartbeat_min.empty()) {\n int val = 0;\n auto result =\n std::from_chars(heartbeat_min.data(), heartbeat_min.data() + heartbeat_min.size(), val);\n if (result.ec == std::errc{} && val >= 0) {\n config.heartbeat_interval_min = std::chrono::seconds(val);\n }\n }\n if (!heartbeat_max.empty()) {\n int val = 0;\n auto result =\n std::from_chars(heartbeat_max.data(), heartbeat_max.data() + heartbeat_max.size(), val);\n if (result.ec == std::errc{} && val >= 0) {\n config.heartbeat_interval_max = std::chrono::seconds(val);\n }\n }\n\n // Parse timing_jitter.",
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"old_string": "// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};",
"new_string": "// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};\n\n// DPI bypass mode presets for Windows GUI.\n// Each mode represents a different traffic pattern for evading DPI systems.\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0, // Simulates IoT sensor telemetry (balanced stealth/performance)\n kQUICLike = 1, // Mimics QUIC/HTTP3 traffic (high throughput)\n kRandomNoise = 2, // Maximum entropy and unpredictability (extreme stealth)\n kTrickle = 3, // Low-and-slow traffic (maximum stealth, limited bandwidth)\n kCustom = 255 // User-defined profile\n};"
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"new_string": "// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n// ============================================================================\n// DPI Bypass Mode Factory Functions\n// ============================================================================\n\n// Create an obfuscation profile for a specific DPI bypass mode.\n// Each mode has predefined parameters optimized for different evasion scenarios.\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);\n\n// Get human-readable name for a DPI bypass mode.\nconst char* dpi_mode_to_string(DPIBypassMode mode);\n\n// Parse DPI bypass mode from string.\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);\n\n// Get description of a DPI bypass mode.\nconst char* dpi_mode_description(DPIBypassMode mode);\n\n} // namespace veil::obfuscation"
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/common/obfuscation/obfuscation_profile.h has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 43→ kPoisson = 1, // Poisson distribution (network-like)\n 44→ kExponential = 2, // Exponential distribution (bursty)\n 45→};\n 46→\n 47→// Heartbeat payload type for semantic modeling.\n 48→enum class HeartbeatType : std::uint8_t {\n 49→ kEmpty = 0, // Empty heartbeat (minimal)\n 50→ kTimestamp = 1, // Contains timestamp only\n 51→ kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n 52→ kGenericTelemetry = 3 // Generic telemetry pattern\n 53→};\n 54→\n 55→// DPI bypass mode presets for Windows GUI.\n 56→// Each mode represents a different traffic pattern for evading DPI systems.\n 57→enum class DPIBypassMode : std::uint8_t {\n 58→ kIoTMimic = 0, // Simulates IoT sensor telemetry (balanced stealth/performance)\n 59→ kQUICLike = 1, // Mimics QUIC/HTTP3 traffic (high throughput)\n 60→ kRandomNoise = 2, // Maximum entropy and unpredictability (extreme stealth)\n 61→ kTrickle = 3, // Low-and-slow traffic (maximum stealth, limited bandwidth)\n 62→ kCustom = 255 // User-defined profile\n 63→};\n 64→\n 65→// IoT-like sensor data template for heartbeat payloads.\n 66→struct IoTSensorTemplate {\n 67→ float temp_min{18.0f};"
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"oldString": "// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};",
"newString": "// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};\n\n// DPI bypass mode presets for Windows GUI.\n// Each mode represents a different traffic pattern for evading DPI systems.\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0, // Simulates IoT sensor telemetry (balanced stealth/performance)\n kQUICLike = 1, // Mimics QUIC/HTTP3 traffic (high throughput)\n kRandomNoise = 2, // Maximum entropy and unpredictability (extreme stealth)\n kTrickle = 3, // Low-and-slow traffic (maximum stealth, limited bandwidth)\n kCustom = 255 // User-defined profile\n};",
"originalFile": "#pragma once\n\n#include <array>\n#include <chrono>\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <vector>\n\nnamespace veil::obfuscation {\n\n// Profile seed size (32 bytes for deterministic obfuscation).\nconstexpr std::size_t kProfileSeedSize = 32;\n\n// Padding size class for traffic morphing.\nenum class PaddingSizeClass : std::uint8_t {\n kSmall = 0, // 0-100 bytes, typical for keepalives/ACKs\n kMedium = 1, // 100-400 bytes, typical for small requests\n kLarge = 2, // 400-1000 bytes, typical for data transfer\n};\n\n// Padding distribution weights (must sum to 100).\nstruct PaddingDistribution {\n std::uint8_t small_weight{40}; // Weight for small packets (0-100)\n std::uint8_t medium_weight{40}; // Weight for medium packets (100-400)\n std::uint8_t large_weight{20}; // Weight for large packets (400-1000)\n\n // Size ranges for each class.\n std::uint16_t small_min{0};\n std::uint16_t small_max{100};\n std::uint16_t medium_min{100};\n std::uint16_t medium_max{400};\n std::uint16_t large_min{400};\n std::uint16_t large_max{1000};\n\n // Padding jitter range (±N bytes).\n std::uint16_t jitter_range{20};\n};\n\n// Timing jitter model type.\nenum class TimingJitterModel : std::uint8_t {\n kUniform = 0, // Uniform random distribution\n kPoisson = 1, // Poisson distribution (network-like)\n kExponential = 2, // Exponential distribution (bursty)\n};\n\n// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};\n\n// IoT-like sensor data template for heartbeat payloads.\nstruct IoTSensorTemplate {\n float temp_min{18.0f};\n float temp_max{25.0f};\n float humidity_min{40.0f};\n float humidity_max{70.0f};\n float battery_min{3.0f};\n float battery_max{4.2f};\n std::uint8_t device_id{0}; // Randomized per session\n};\n\n// Obfuscation profile configuration.\n// Controls padding, prefix, timing jitter, and heartbeat behavior.\nstruct ObfuscationProfile {\n // Profile seed for deterministic padding/prefix generation.\n // If empty/zeroed, generates random seed on first use.\n std::array<std::uint8_t, kProfileSeedSize> profile_seed{};\n\n // Whether obfuscation is enabled.\n bool enabled{true};\n\n // Maximum padding size in bytes (added to each packet).\n std::uint16_t max_padding_size{400};\n\n // Minimum padding size in bytes.\n std::uint16_t min_padding_size{0};\n\n // Random prefix size range (4-12 bytes based on profile_seed + seq).\n std::uint8_t min_prefix_size{4};\n std::uint8_t max_prefix_size{12};\n\n // Heartbeat interval range for idle traffic.\n std::chrono::seconds heartbeat_min{5};\n std::chrono::seconds heartbeat_max{15};\n\n // Enable timing jitter for packet sends.\n bool timing_jitter_enabled{true};\n\n // Maximum timing jitter in milliseconds.\n std::uint16_t max_timing_jitter_ms{50};\n\n // Size variance: target different packet size distributions.\n // 0.0 = constant size, 1.0 = maximum variance.\n float size_variance{0.5f};\n\n // Padding distribution configuration.\n PaddingDistribution padding_distribution{};\n\n // Enable advanced padding distribution (uses paddi**********ution config).\n bool use_advanced_padding{false};\n\n // Timing jitter model.\n TimingJitterModel timing_jitter_model{TimingJitterModel::kPoisson};\n\n // Timing jitter scale factor (multiplier for base jitter).\n float timing_jitter_scale{1.0f};\n\n // Heartbeat configuration.\n HeartbeatType heartbeat_type{HeartbeatType::kIoTSensor};\n\n // IoT sensor template for heartbeat payloads.\n IoTSensorTemplate iot_sensor_template{};\n\n // Enable entropy normalization for heartbeat messages.\n bool heartbeat_entropy_normalization{true};\n};\n\n// Obfuscation metrics for DPI/ML analysis.\nstruct ObfuscationMetrics {\n // Packet size statistics (sliding window).\n std::uint64_t packets_measured{0};\n double avg_packet_size{0.0};\n double packet_size_variance{0.0};\n double packet_size_stddev{0.0};\n std::uint16_t min_packet_size{0};\n std::uint16_t max_packet_size{0};\n\n // Packet size histogram (for DPI analysis).\n std::array<std::uint64_t, 16> size_histogram{}; // Buckets: 0-64, 64-128, ..., 960-1024+\n\n // Inter-packet timing statistics.\n double avg_interval_ms{0.0};\n double interval_variance{0.0};\n double interval_stddev{0.0};\n\n // Timing histogram (for pattern detection).\n std::array<std::uint64_t, 16> timing_histogram{}; // Buckets: 0-10ms, 10-20ms, ...\n\n // Heartbeat statistics.\n std::uint64_t heartbeats_sent{0};\n std::uint64_t heartbeats_received{0};\n double heartbeat_ratio{0.0}; // heartbeats / total packets\n\n // Padding statistics.\n std::uint64_t total_padding_bytes{0};\n double avg_padding_per_packet{0.0};\n\n // Padding size class distribution.\n std::uint64_t small_padding_count{0};\n std::uint64_t medium_padding_count{0};\n std::uint64_t large_padding_count{0};\n\n // Prefix statistics.\n std::uint64_t total_prefix_bytes{0};\n double avg_prefix_per_packet{0.0};\n\n // Jitter statistics.\n std::uint64_t jitter_applied_count{0};\n double avg_jitter_ms{0.0};\n double jitter_stddev{0.0};\n};\n\n// Configuration file section for obfuscation.\nstruct ObfuscationConfig {\n bool enabled{true};\n std::uint16_t max_padding_size{400};\n std::string profile_seed_hex; // Hex-encoded seed, \"auto\" for random.\n std::chrono::seconds heartbeat_interval_min{5};\n std::chrono::seconds heartbeat_interval_max{15};\n bool enable_timing_jitter{true};\n};\n\n// Parse obfuscation config from key-value pairs.\n// Typically called from INI/config file parser.\nstd::optional<ObfuscationConfig> parse_obfuscation_config(\n const std::string& enabled, const std::string& max_padding,\n const std::string& profile_seed, const std::string& heartbeat_min,\n const std::string& heartbeat_max, const std::string& timing_jitter);\n\n// Convert ObfuscationConfig to runtime ObfuscationProfile.\nObfuscationProfile config_to_profile(const ObfuscationConfig& config);\n\n// Generate a random profile seed.\nstd::array<std::uint8_t, kProfileSeedSize> generate_profile_seed();\n\n// Compute deterministic padding size based on profile seed and sequence.\nstd::uint16_t compute_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute padding size using advanced distribution (small/medium/large classes).\nstd::uint16_t compute_advanced_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Determine which padding size class to use for a given sequence.\nPaddingSizeClass compute_padding_class(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute deterministic prefix size based on profile seed and sequence.\nstd::uint8_t compute_prefix_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter in milliseconds based on profile seed and sequence.\nstd::uint16_t compute_timing_jitter(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter using Poisson/Exponential model.\n// Returns timestamp offset in microseconds.\nstd::chrono::microseconds compute_timing_jitter_advanced(const ObfuscationProfile& profile,\n std::uint64_t sequence);\n\n// Calculate next send timestamp with jitter applied.\n// base_ts: the base timestamp when packet would normally be sent.\n// Returns adjusted timestamp with jitter.\nstd::chrono::steady_clock::time_point calculate_next_send_ts(\n const ObfuscationProfile& profile, std::uint64_t sequence,\n std::chrono::steady_clock::time_point base_ts);\n\n// Compute heartbeat interval based on profile seed.\nstd::chrono::milliseconds compute_heartbeat_interval(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_count);\n\n// Generate IoT-like sensor payload for heartbeat.\n// Returns deterministic payload based on profile seed and sequence.\nstd::vector<std::uint8_t> generate_iot_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate generic telemetry payload for heartbeat.\nstd::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate heartbeat payload based on configured heartbeat type.\nstd::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Apply entropy normalization to a buffer (fills gaps with pseudo-random data).\nvoid apply_entropy_normalization(std::vector<std::uint8_t>& buffer,\n const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t sequence);\n\n// Update obfuscation metrics with a new packet measurement.\nvoid update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n std::uint16_t padding_size, std::uint16_t prefix_size,\n double interval_ms, bool is_heartbeat);\n\n// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n} // namespace veil::obfuscation\n",
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" kGenericTelemetry = 3 // Generic telemetry pattern",
" };",
" ",
"+// DPI bypass mode presets for Windows GUI.",
"+// Each mode represents a different traffic pattern for evading DPI systems.",
"+enum class DPIBypassMode : std::uint8_t {",
"+ kIoTMimic = 0, // Simulates IoT sensor telemetry (balanced stealth/performance)",
"+ kQUICLike = 1, // Mimics QUIC/HTTP3 traffic (high throughput)",
"+ kRandomNoise = 2, // Maximum entropy and unpredictability (extreme stealth)",
"+ kTrickle = 3, // Low-and-slow traffic (maximum stealth, limited bandwidth)",
"+ kCustom = 255 // User-defined profile",
"+};",
"+",
" // IoT-like sensor data template for heartbeat payloads.",
" struct IoTSensorTemplate {",
" float temp_min{18.0f};"
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[2025-12-07T21:41:08.410Z] [INFO] {
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/common/obfuscation/obfuscation_profile.h has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 250→void update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n 251→ std::uint16_t padding_size, std::uint16_t prefix_size,\n 252→ double interval_ms, bool is_heartbeat);\n 253→\n 254→// Reset obfuscation metrics.\n 255→void reset_metrics(ObfuscationMetrics& metrics);\n 256→\n 257→// ============================================================================\n 258→// DPI Bypass Mode Factory Functions\n 259→// ============================================================================\n 260→\n 261→// Create an obfuscation profile for a specific DPI bypass mode.\n 262→// Each mode has predefined parameters optimized for different evasion scenarios.\n 263→ObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);\n 264→\n 265→// Get human-readable name for a DPI bypass mode.\n 266→const char* dpi_mode_to_string(DPIBypassMode mode);\n 267→\n 268→// Parse DPI bypass mode from string.\n 269→std::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);\n 270→\n 271→// Get description of a DPI bypass mode.\n 272→const char* dpi_mode_description(DPIBypassMode mode);\n 273→\n 274→} // namespace veil::obfuscation\n 275→"
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"oldString": "// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n} // namespace veil::obfuscation",
"newString": "// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n// ============================================================================\n// DPI Bypass Mode Factory Functions\n// ============================================================================\n\n// Create an obfuscation profile for a specific DPI bypass mode.\n// Each mode has predefined parameters optimized for different evasion scenarios.\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);\n\n// Get human-readable name for a DPI bypass mode.\nconst char* dpi_mode_to_string(DPIBypassMode mode);\n\n// Parse DPI bypass mode from string.\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);\n\n// Get description of a DPI bypass mode.\nconst char* dpi_mode_description(DPIBypassMode mode);\n\n} // namespace veil::obfuscation",
"originalFile": "#pragma once\n\n#include <array>\n#include <chrono>\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <vector>\n\nnamespace veil::obfuscation {\n\n// Profile seed size (32 bytes for deterministic obfuscation).\nconstexpr std::size_t kProfileSeedSize = 32;\n\n// Padding size class for traffic morphing.\nenum class PaddingSizeClass : std::uint8_t {\n kSmall = 0, // 0-100 bytes, typical for keepalives/ACKs\n kMedium = 1, // 100-400 bytes, typical for small requests\n kLarge = 2, // 400-1000 bytes, typical for data transfer\n};\n\n// Padding distribution weights (must sum to 100).\nstruct PaddingDistribution {\n std::uint8_t small_weight{40}; // Weight for small packets (0-100)\n std::uint8_t medium_weight{40}; // Weight for medium packets (100-400)\n std::uint8_t large_weight{20}; // Weight for large packets (400-1000)\n\n // Size ranges for each class.\n std::uint16_t small_min{0};\n std::uint16_t small_max{100};\n std::uint16_t medium_min{100};\n std::uint16_t medium_max{400};\n std::uint16_t large_min{400};\n std::uint16_t large_max{1000};\n\n // Padding jitter range (±N bytes).\n std::uint16_t jitter_range{20};\n};\n\n// Timing jitter model type.\nenum class TimingJitterModel : std::uint8_t {\n kUniform = 0, // Uniform random distribution\n kPoisson = 1, // Poisson distribution (network-like)\n kExponential = 2, // Exponential distribution (bursty)\n};\n\n// Heartbeat payload type for semantic modeling.\nenum class HeartbeatType : std::uint8_t {\n kEmpty = 0, // Empty heartbeat (minimal)\n kTimestamp = 1, // Contains timestamp only\n kIoTSensor = 2, // IoT-like sensor data (temp/humidity/battery)\n kGenericTelemetry = 3 // Generic telemetry pattern\n};\n\n// DPI bypass mode presets for Windows GUI.\n// Each mode represents a different traffic pattern for evading DPI systems.\nenum class DPIBypassMode : std::uint8_t {\n kIoTMimic = 0, // Simulates IoT sensor telemetry (balanced stealth/performance)\n kQUICLike = 1, // Mimics QUIC/HTTP3 traffic (high throughput)\n kRandomNoise = 2, // Maximum entropy and unpredictability (extreme stealth)\n kTrickle = 3, // Low-and-slow traffic (maximum stealth, limited bandwidth)\n kCustom = 255 // User-defined profile\n};\n\n// IoT-like sensor data template for heartbeat payloads.\nstruct IoTSensorTemplate {\n float temp_min{18.0f};\n float temp_max{25.0f};\n float humidity_min{40.0f};\n float humidity_max{70.0f};\n float battery_min{3.0f};\n float battery_max{4.2f};\n std::uint8_t device_id{0}; // Randomized per session\n};\n\n// Obfuscation profile configuration.\n// Controls padding, prefix, timing jitter, and heartbeat behavior.\nstruct ObfuscationProfile {\n // Profile seed for deterministic padding/prefix generation.\n // If empty/zeroed, generates random seed on first use.\n std::array<std::uint8_t, kProfileSeedSize> profile_seed{};\n\n // Whether obfuscation is enabled.\n bool enabled{true};\n\n // Maximum padding size in bytes (added to each packet).\n std::uint16_t max_padding_size{400};\n\n // Minimum padding size in bytes.\n std::uint16_t min_padding_size{0};\n\n // Random prefix size range (4-12 bytes based on profile_seed + seq).\n std::uint8_t min_prefix_size{4};\n std::uint8_t max_prefix_size{12};\n\n // Heartbeat interval range for idle traffic.\n std::chrono::seconds heartbeat_min{5};\n std::chrono::seconds heartbeat_max{15};\n\n // Enable timing jitter for packet sends.\n bool timing_jitter_enabled{true};\n\n // Maximum timing jitter in milliseconds.\n std::uint16_t max_timing_jitter_ms{50};\n\n // Size variance: target different packet size distributions.\n // 0.0 = constant size, 1.0 = maximum variance.\n float size_variance{0.5f};\n\n // Padding distribution configuration.\n PaddingDistribution padding_distribution{};\n\n // Enable advanced padding distribution (uses paddi**********ution config).\n bool use_advanced_padding{false};\n\n // Timing jitter model.\n TimingJitterModel timing_jitter_model{TimingJitterModel::kPoisson};\n\n // Timing jitter scale factor (multiplier for base jitter).\n float timing_jitter_scale{1.0f};\n\n // Heartbeat configuration.\n HeartbeatType heartbeat_type{HeartbeatType::kIoTSensor};\n\n // IoT sensor template for heartbeat payloads.\n IoTSensorTemplate iot_sensor_template{};\n\n // Enable entropy normalization for heartbeat messages.\n bool heartbeat_entropy_normalization{true};\n};\n\n// Obfuscation metrics for DPI/ML analysis.\nstruct ObfuscationMetrics {\n // Packet size statistics (sliding window).\n std::uint64_t packets_measured{0};\n double avg_packet_size{0.0};\n double packet_size_variance{0.0};\n double packet_size_stddev{0.0};\n std::uint16_t min_packet_size{0};\n std::uint16_t max_packet_size{0};\n\n // Packet size histogram (for DPI analysis).\n std::array<std::uint64_t, 16> size_histogram{}; // Buckets: 0-64, 64-128, ..., 960-1024+\n\n // Inter-packet timing statistics.\n double avg_interval_ms{0.0};\n double interval_variance{0.0};\n double interval_stddev{0.0};\n\n // Timing histogram (for pattern detection).\n std::array<std::uint64_t, 16> timing_histogram{}; // Buckets: 0-10ms, 10-20ms, ...\n\n // Heartbeat statistics.\n std::uint64_t heartbeats_sent{0};\n std::uint64_t heartbeats_received{0};\n double heartbeat_ratio{0.0}; // heartbeats / total packets\n\n // Padding statistics.\n std::uint64_t total_padding_bytes{0};\n double avg_padding_per_packet{0.0};\n\n // Padding size class distribution.\n std::uint64_t small_padding_count{0};\n std::uint64_t medium_padding_count{0};\n std::uint64_t large_padding_count{0};\n\n // Prefix statistics.\n std::uint64_t total_prefix_bytes{0};\n double avg_prefix_per_packet{0.0};\n\n // Jitter statistics.\n std::uint64_t jitter_applied_count{0};\n double avg_jitter_ms{0.0};\n double jitter_stddev{0.0};\n};\n\n// Configuration file section for obfuscation.\nstruct ObfuscationConfig {\n bool enabled{true};\n std::uint16_t max_padding_size{400};\n std::string profile_seed_hex; // Hex-encoded seed, \"auto\" for random.\n std::chrono::seconds heartbeat_interval_min{5};\n std::chrono::seconds heartbeat_interval_max{15};\n bool enable_timing_jitter{true};\n};\n\n// Parse obfuscation config from key-value pairs.\n// Typically called from INI/config file parser.\nstd::optional<ObfuscationConfig> parse_obfuscation_config(\n const std::string& enabled, const std::string& max_padding,\n const std::string& profile_seed, const std::string& heartbeat_min,\n const std::string& heartbeat_max, const std::string& timing_jitter);\n\n// Convert ObfuscationConfig to runtime ObfuscationProfile.\nObfuscationProfile config_to_profile(const ObfuscationConfig& config);\n\n// Generate a random profile seed.\nstd::array<std::uint8_t, kProfileSeedSize> generate_profile_seed();\n\n// Compute deterministic padding size based on profile seed and sequence.\nstd::uint16_t compute_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute padding size using advanced distribution (small/medium/large classes).\nstd::uint16_t compute_advanced_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Determine which padding size class to use for a given sequence.\nPaddingSizeClass compute_padding_class(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute deterministic prefix size based on profile seed and sequence.\nstd::uint8_t compute_prefix_size(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter in milliseconds based on profile seed and sequence.\nstd::uint16_t compute_timing_jitter(const ObfuscationProfile& profile, std::uint64_t sequence);\n\n// Compute timing jitter using Poisson/Exponential model.\n// Returns timestamp offset in microseconds.\nstd::chrono::microseconds compute_timing_jitter_advanced(const ObfuscationProfile& profile,\n std::uint64_t sequence);\n\n// Calculate next send timestamp with jitter applied.\n// base_ts: the base timestamp when packet would normally be sent.\n// Returns adjusted timestamp with jitter.\nstd::chrono::steady_clock::time_point calculate_next_send_ts(\n const ObfuscationProfile& profile, std::uint64_t sequence,\n std::chrono::steady_clock::time_point base_ts);\n\n// Compute heartbeat interval based on profile seed.\nstd::chrono::milliseconds compute_heartbeat_interval(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_count);\n\n// Generate IoT-like sensor payload for heartbeat.\n// Returns deterministic payload based on profile seed and sequence.\nstd::vector<std::uint8_t> generate_iot_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate generic telemetry payload for heartbeat.\nstd::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Generate heartbeat payload based on configured heartbeat type.\nstd::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence);\n\n// Apply entropy normalization to a buffer (fills gaps with pseudo-random data).\nvoid apply_entropy_normalization(std::vector<std::uint8_t>& buffer,\n const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t sequence);\n\n// Update obfuscation metrics with a new packet measurement.\nvoid update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n std::uint16_t padding_size, std::uint16_t prefix_size,\n double interval_ms, bool is_heartbeat);\n\n// Reset obfuscation metrics.\nvoid reset_metrics(ObfuscationMetrics& metrics);\n\n} // namespace veil::obfuscation\n",
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" // Reset obfuscation metrics.",
" void reset_metrics(ObfuscationMetrics& metrics);",
" ",
"+// ============================================================================",
"+// DPI Bypass Mode Factory Functions",
"+// ============================================================================",
"+",
"+// Create an obfuscation profile for a specific DPI bypass mode.",
"+// Each mode has predefined parameters optimized for different evasion scenarios.",
"+ObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode);",
"+",
"+// Get human-readable name for a DPI bypass mode.",
"+const char* dpi_mode_to_string(DPIBypassMode mode);",
"+",
"+// Parse DPI bypass mode from string.",
"+std::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str);",
"+",
"+// Get description of a DPI bypass mode.",
"+const char* dpi_mode_description(DPIBypassMode mode);",
"+",
" } // namespace veil::obfuscation"
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"content": " 350→\n 351→ payload.push_back(0x01); // Message type.\n 352→ payload.push_back(tmpl.device_id);\n 353→\n 354→ // Sequence (16-bit).\n 355→ const auto seq16 = static_cast<std::uint16_t>(heartbeat_sequence & 0xFFFF);\n 356→ payload.push_back(static_cast<std::uint8_t>((seq16 >> 8) & 0xFF));\n 357→ payload.push_back(static_cast<std::uint8_t>(seq16 & 0xFF));\n 358→\n 359→ // Helper to write float as big-endian bytes.\n 360→ auto write_float = [&payload](float value) {\n 361→ std::uint32_t bits = 0;\n 362→ std::memcpy(&bits, &value, sizeof(bits));\n 363→ payload.push_back(static_cast<std::uint8_t>((bits >> 24) & 0xFF));\n 364→ payload.push_back(static_cast<std::uint8_t>((bits >> 16) & 0xFF));\n 365→ payload.push_back(static_cast<std::uint8_t>((bits >> 8) & 0xFF));\n 366→ payload.push_back(static_cast<std::uint8_t>(bits & 0xFF));\n 367→ };\n 368→\n 369→ write_float(temperature);\n 370→ write_float(humidity);\n 371→ write_float(battery);\n 372→\n 373→ // Timestamp offset (deterministic pseudo-random).\n 374→ const auto ts_offset = static_cast<std::uint32_t>(derive_value(profile.profile_seed, heartbeat_sequence, \"iot_ts\") & 0xFFFFFFFF);\n 375→ payload.push_back(static_cast<std::uint8_t>((ts_offset >> 24) & 0xFF));\n 376→ payload.push_back(static_cast<std::uint8_t>((ts_offset >> 16) & 0xFF));\n 377→ payload.push_back(static_cast<std::uint8_t>((ts_offset >> 8) & 0xFF));\n 378→ payload.push_back(static_cast<std::uint8_t>(ts_offset & 0xFF));\n 379→\n 380→ // Simple checksum (XOR of all bytes).\n 381→ std::uint32_t checksum = 0;\n 382→ for (const auto& byte : payload) {\n 383→ checksum ^= byte;\n 384→ checksum = (checksum << 1) | (checksum >> 31); // Rotate left.\n 385→ }\n 386→ payload.push_back(static_cast<std::uint8_t>((checksum >> 24) & 0xFF));\n 387→ payload.push_back(static_cast<std::uint8_t>((checksum >> 16) & 0xFF));\n 388→ payload.push_back(static_cast<std::uint8_t>((checksum >> 8) & 0xFF));\n 389→ payload.push_back(static_cast<std::uint8_t>(checksum & 0xFF));\n 390→\n 391→ return payload;\n 392→}\n 393→\n 394→std::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n 395→ std::uint64_t heartbeat_sequence) {\n 396→ std::vector<std::uint8_t> payload;\n 397→ payload.reserve(24);\n 398→\n 399→ // Generic telemetry structure:\n 400→ // [0-3]: Magic (0x54454C4D = \"TELM\")\n 401→ // [4-5]: Version (0x0001)\n 402→ // [6-7]: Payload length\n 403→ // [8-15]: Sequence number\n 404→ // [16-23]: Timestamp placeholder\n 405→\n 406→ payload.push_back(0x54); // 'T'\n 407→ payload.push_back(0x45); // 'E'\n 408→ payload.push_back(0x4C); // 'L'\n 409→ payload.push_back(0x4D); // 'M'\n 410→\n 411→ payload.push_back(0x00); // Version high.\n 412→ payload.push_back(0x01); // Version low.\n 413→\n 414→ payload.push_back(0x00); // Length high.\n 415→ payload.push_back(0x10); // Length low (16 bytes following).\n 416→\n 417→ // Sequence number.\n 418→ for (int i = 7; i >= 0; --i) {\n 419→ payload.push_back(static_cast<std::uint8_t>((heartbeat_sequence >> (8 * i)) & 0xFF));\n 420→ }\n 421→\n 422→ // Pseudo-timestamp.\n 423→ const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"tel_ts\");\n 424→ for (int i = 7; i >= 0; --i) {\n 425→ payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n 426→ }\n 427→\n 428→ return payload;\n 429→}\n 430→\n 431→std::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n 432→ std::uint64_t heartbeat_sequence) {\n 433→ switch (profile.heartbeat_type) {\n 434→ case HeartbeatType::kEmpty:\n 435→ return {};\n 436→\n 437→ case HeartbeatType::kTimestamp: {\n 438→ std::vector<std::uint8_t> payload;\n 439→ payload.reserve(8);\n 440→ const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"hb_ts\");\n 441→ for (int i = 7; i >= 0; --i) {\n 442→ payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n 443→ }\n 444→ return payload;\n 445→ }\n 446→\n 447→ case HeartbeatType::kIoTSensor:\n 448→ return generate_iot_heartbeat_payload(profile, heartbeat_sequence);\n 449→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "\n payload.push_back(0x01); // Message type.\n payload.push_back(tmpl.device_id);\n\n // Sequence (16-bit).\n const auto seq16 = static_cast<std::uint16_t>(heartbeat_sequence & 0xFFFF);\n payload.push_back(static_cast<std::uint8_t>((seq16 >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(seq16 & 0xFF));\n\n // Helper to write float as big-endian bytes.\n auto write_float = [&payload](float value) {\n std::uint32_t bits = 0;\n std::memcpy(&bits, &value, sizeof(bits));\n payload.push_back(static_cast<std::uint8_t>((bits >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((bits >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((bits >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(bits & 0xFF));\n };\n\n write_float(temperature);\n write_float(humidity);\n write_float(battery);\n\n // Timestamp offset (deterministic pseudo-random).\n const auto ts_offset = static_cast<std::uint32_t>(derive_value(profile.profile_seed, heartbeat_sequence, \"iot_ts\") & 0xFFFFFFFF);\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(ts_offset & 0xFF));\n\n // Simple checksum (XOR of all bytes).\n std::uint32_t checksum = 0;\n for (const auto& byte : payload) {\n checksum ^= byte;\n checksum = (checksum << 1) | (checksum >> 31); // Rotate left.\n }\n payload.push_back(static_cast<std::uint8_t>((checksum >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((checksum >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((checksum >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(checksum & 0xFF));\n\n return payload;\n}\n\nstd::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence) {\n std::vector<std::uint8_t> payload;\n payload.reserve(24);\n\n // Generic telemetry structure:\n // [0-3]: Magic (0x54454C4D = \"TELM\")\n // [4-5]: Version (0x0001)\n // [6-7]: Payload length\n // [8-15]: Sequence number\n // [16-23]: Timestamp placeholder\n\n payload.push_back(0x54); // 'T'\n payload.push_back(0x45); // 'E'\n payload.push_back(0x4C); // 'L'\n payload.push_back(0x4D); // 'M'\n\n payload.push_back(0x00); // Version high.\n payload.push_back(0x01); // Version low.\n\n payload.push_back(0x00); // Length high.\n payload.push_back(0x10); // Length low (16 bytes following).\n\n // Sequence number.\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((heartbeat_sequence >> (8 * i)) & 0xFF));\n }\n\n // Pseudo-timestamp.\n const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"tel_ts\");\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n }\n\n return payload;\n}\n\nstd::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence) {\n switch (profile.heartbeat_type) {\n case HeartbeatType::kEmpty:\n return {};\n\n case HeartbeatType::kTimestamp: {\n std::vector<std::uint8_t> payload;\n payload.reserve(8);\n const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"hb_ts\");\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n }\n return payload;\n }\n\n case HeartbeatType::kIoTSensor:\n return generate_iot_heartbeat_payload(profile, heartbeat_sequence);\n",
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"content": " 480→ std::vector<std::uint8_t> input;\n 481→ input.reserve(seed.size() + 8 + 7);\n 482→ input.insert(input.end(), seed.begin(), seed.end());\n 483→ for (int i = 7; i >= 0; --i) {\n 484→ input.push_back(static_cast<std::uint8_t>((sequence >> (8 * i)) & 0xFF));\n 485→ }\n 486→ const char* context = \"entropy\";\n 487→ input.insert(input.end(), context, context + 7);\n 488→\n 489→ auto hmac = crypto::hmac_sha256(seed, input);\n 490→\n 491→ // XOR some bytes to increase entropy (modifying padding bytes only).\n 492→ // This is a simplified approach - real implementation would be more sophisticated.\n 493→ const std::size_t bytes_to_modify = std::min(buffer.size() / 10, hmac.size());\n 494→ for (std::size_t i = 0; i < bytes_to_modify; ++i) {\n 495→ const auto idx = static_cast<std::size_t>(hmac[i]) % buffer.size();\n 496→ buffer[idx] ^= hmac[(i + 1) % hmac.size()];\n 497→ }\n 498→}\n 499→\n 500→void update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n 501→ std::uint16_t padding_size, std::uint16_t prefix_size,\n 502→ double interval_ms, bool is_heartbeat) {\n 503→ ++metrics.packets_measured;\n 504→\n 505→ // Update packet size statistics (Welford's online algorithm).\n 506→ const auto n = static_cast<double>(metrics.packets_measured);\n 507→ const auto delta = static_cast<double>(packet_size) - metrics.avg_packet_size;\n 508→ metrics.avg_packet_size += delta / n;\n 509→ const auto delta2 = static_cast<double>(packet_size) - metrics.avg_packet_size;\n 510→ metrics.packet_size_variance += delta * delta2;\n 511→\n 512→ if (metrics.packets_measured > 1) {\n 513→ metrics.packet_size_stddev = std::sqrt(metrics.packet_size_variance / (n - 1.0));\n 514→ }\n 515→\n 516→ // Update min/max.\n 517→ if (metrics.packets_measured == 1 || packet_size < metrics.min_packet_size) {\n 518→ metrics.min_packet_size = packet_size;\n 519→ }\n 520→ if (packet_size > metrics.max_packet_size) {\n 521→ metrics.max_packet_size = packet_size;\n 522→ }\n 523→\n 524→ // Update size histogram.\n 525→ const auto bucket = std::min(static_cast<std::size_t>(packet_size / 64), std::size_t{15});\n 526→ ++metrics.size_histogram[bucket];\n 527→\n 528→ // Update interval statistics.\n 529→ if (interval_ms >= 0.0) {\n 530→ const auto interval_delta = interval_ms - metrics.avg_interval_ms;\n 531→ metrics.avg_interval_ms += interval_delta / n;\n 532→ const auto interval_delta2 = interval_ms - metrics.avg_interval_ms;\n 533→ metrics.interval_variance += interval_delta * interval_delta2;\n 534→\n 535→ if (metrics.packets_measured > 1) {\n 536→ metrics.interval_stddev = std::sqrt(metrics.interval_variance / (n - 1.0));\n 537→ }\n 538→\n 539→ // Update timing histogram.\n 540→ const auto timing_bucket = std::min(static_cast<std::size_t>(interval_ms / 10.0), std::size_t{15});\n 541→ ++metrics.timing_histogram[timing_bucket];\n 542→ }\n 543→\n 544→ // Update heartbeat statistics.\n 545→ if (is_heartbeat) {\n 546→ ++metrics.heartbeats_sent;\n 547→ }\n 548→ metrics.heartbeat_ratio = static_cast<double>(metrics.heartbeats_sent) / n;\n 549→\n 550→ // Update padding statistics.\n 551→ metrics.total_padding_bytes += padding_size;\n 552→ metrics.avg_padding_per_packet = static_cast<double>(metrics.total_padding_bytes) / n;\n 553→\n 554→ // Update padding size class distribution (based on size).\n 555→ if (padding_size <= 100) {\n 556→ ++metrics.small_padding_count;\n 557→ } else if (padding_size <= 400) {\n 558→ ++metrics.medium_padding_count;\n 559→ } else {\n 560→ ++metrics.large_padding_count;\n 561→ }\n 562→\n 563→ // Update prefix statistics.\n 564→ metrics.total_prefix_bytes += prefix_size;\n 565→ metrics.avg_prefix_per_packet = static_cast<double>(metrics.total_prefix_bytes) / n;\n 566→}\n 567→\n 568→void reset_metrics(ObfuscationMetrics& metrics) {\n 569→ metrics = ObfuscationMetrics{};\n 570→}\n 571→\n 572→} // namespace veil::obfuscation\n 573→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": " std::vector<std::uint8_t> input;\n input.reserve(seed.size() + 8 + 7);\n input.insert(input.end(), seed.begin(), seed.end());\n for (int i = 7; i >= 0; --i) {\n input.push_back(static_cast<std::uint8_t>((sequence >> (8 * i)) & 0xFF));\n }\n const char* context = \"entropy\";\n input.insert(input.end(), context, context + 7);\n\n auto hmac = crypto::hmac_sha256(seed, input);\n\n // XOR some bytes to increase entropy (modifying padding bytes only).\n // This is a simplified approach - real implementation would be more sophisticated.\n const std::size_t bytes_to_modify = std::min(buffer.size() / 10, hmac.size());\n for (std::size_t i = 0; i < bytes_to_modify; ++i) {\n const auto idx = static_cast<std::size_t>(hmac[i]) % buffer.size();\n buffer[idx] ^= hmac[(i + 1) % hmac.size()];\n }\n}\n\nvoid update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n std::uint16_t padding_size, std::uint16_t prefix_size,\n double interval_ms, bool is_heartbeat) {\n ++metrics.packets_measured;\n\n // Update packet size statistics (Welford's online algorithm).\n const auto n = static_cast<double>(metrics.packets_measured);\n const auto delta = static_cast<double>(packet_size) - metrics.avg_packet_size;\n metrics.avg_packet_size += delta / n;\n const auto delta2 = static_cast<double>(packet_size) - metrics.avg_packet_size;\n metrics.packet_size_variance += delta * delta2;\n\n if (metrics.packets_measured > 1) {\n metrics.packet_size_stddev = std::sqrt(metrics.packet_size_variance / (n - 1.0));\n }\n\n // Update min/max.\n if (metrics.packets_measured == 1 || packet_size < metrics.min_packet_size) {\n metrics.min_packet_size = packet_size;\n }\n if (packet_size > metrics.max_packet_size) {\n metrics.max_packet_size = packet_size;\n }\n\n // Update size histogram.\n const auto bucket = std::min(static_cast<std::size_t>(packet_size / 64), std::size_t{15});\n ++metrics.size_histogram[bucket];\n\n // Update interval statistics.\n if (interval_ms >= 0.0) {\n const auto interval_delta = interval_ms - metrics.avg_interval_ms;\n metrics.avg_interval_ms += interval_delta / n;\n const auto interval_delta2 = interval_ms - metrics.avg_interval_ms;\n metrics.interval_variance += interval_delta * interval_delta2;\n\n if (metrics.packets_measured > 1) {\n metrics.interval_stddev = std::sqrt(metrics.interval_variance / (n - 1.0));\n }\n\n // Update timing histogram.\n const auto timing_bucket = std::min(static_cast<std::size_t>(interval_ms / 10.0), std::size_t{15});\n ++metrics.timing_histogram[timing_bucket];\n }\n\n // Update heartbeat statistics.\n if (is_heartbeat) {\n ++metrics.heartbeats_sent;\n }\n metrics.heartbeat_ratio = static_cast<double>(metrics.heartbeats_sent) / n;\n\n // Update padding statistics.\n metrics.total_padding_bytes += padding_size;\n metrics.avg_padding_per_packet = static_cast<double>(metrics.total_padding_bytes) / n;\n\n // Update padding size class distribution (based on size).\n if (padding_size <= 100) {\n ++metrics.small_padding_count;\n } else if (padding_size <= 400) {\n ++metrics.medium_padding_count;\n } else {\n ++metrics.large_padding_count;\n }\n\n // Update prefix statistics.\n metrics.total_prefix_bytes += prefix_size;\n metrics.avg_prefix_per_packet = static_cast<double>(metrics.total_prefix_bytes) / n;\n}\n\nvoid reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n} // namespace veil::obfuscation\n",
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"text": "Perfect! Now let me add the DPI mode factory functions before the closing namespace:"
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"old_string": "void reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n} // namespace veil::obfuscation",
"new_string": "void reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n// ============================================================================\n// DPI Bypass Mode Factory Functions\n// ============================================================================\n\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode) {\n using namespace std::chrono_literals;\n\n switch (mode) {\n case DPIBypassMode::kIoTMimic: {\n // Mode A: IoT Mimic - Simulate IoT sensor telemetry\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 200;\n profile.min_padding_size = 20;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 8;\n profile.heartbeat_min = 10s;\n profile.heartbeat_max = 20s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 30;\n profile.size_variance = 0.3f;\n profile.padding_distribution = {\n .small_weight = 70, // Predominantly small packets\n .medium_weight = 25,\n .large_weight = 5,\n .small_min = 20,\n .small_max = 150,\n .medium_min = 150,\n .medium_max = 300,\n .large_min = 300,\n .large_max = 500,\n .jitter_range = 15,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kPoisson;\n profile.timing_jitter_scale = 0.8f;\n profile.heartbeat_type = HeartbeatType::kIoTSensor;\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kQUICLike: {\n // Mode B: QUIC-Like - Mimic QUIC/HTTP3 traffic\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 1200;\n profile.min_padding_size = 100;\n profile.min_prefix_size = 8;\n profile.max_prefix_size = 16;\n profile.heartbeat_min = 30s;\n profile.heartbeat_max = 60s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 100;\n profile.size_variance = 0.7f;\n profile.padding_distribution = {\n .small_weight = 20,\n .medium_weight = 30,\n .large_weight = 50, // Predominantly large packets\n .small_min = 100,\n .small_max = 300,\n .medium_min = 300,\n .medium_max = 800,\n .large_min = 800,\n .large_max = 1200,\n .jitter_range = 50,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kExponential; // Bursty timing\n profile.timing_jitter_scale = 1.5f;\n profile.heartbeat_type = HeartbeatType::kGenericTelemetry;\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kRandomNoise: {\n // Mode C: Random-Noise Stealth - Maximum unpredictability\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 1000;\n profile.min_padding_size = 0;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 20;\n profile.heartbeat_min = 60s; // Infrequent heartbeats\n profile.heartbeat_max = 180s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 500; // Extreme jitter\n profile.size_variance = 1.0f; // Maximum variance\n profile.padding_distribution = {\n .small_weight = 33, // Equal distribution\n .medium_weight = 33,\n .large_weight = 34,\n .small_min = 0,\n .small_max = 333,\n .medium_min = 333,\n .medium_max = 666,\n .large_min = 666,\n .large_max = 1000,\n .jitter_range = 100,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kUniform; // Random timing\n profile.timing_jitter_scale = 2.0f; // Maximum jitter scale\n profile.heartbeat_type = HeartbeatType::kEmpty; // Minimal heartbeats\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kTrickle: {\n // Mode D: Trickle Mode - Low-and-slow traffic\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 100;\n profile.min_padding_size = 10;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 6;\n profile.heartbeat_min = 120s; // Very infrequent heartbeats\n profile.heartbeat_max = 300s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 500; // High jitter for stealth\n profile.size_variance = 0.2f; // Low variance (consistent small packets)\n profile.padding_distribution = {\n .small_weight = 100, // Only small packets\n .medium_weight = 0,\n .large_weight = 0,\n .small_min = 10,\n .small_max = 100,\n .medium_min = 0,\n .medium_max = 0,\n .large_min = 0,\n .large_max = 0,\n .jitter_range = 10,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kPoisson;\n profile.timing_jitter_scale = 1.2f;\n profile.heartbeat_type = HeartbeatType::kTimestamp; // Minimal heartbeat data\n profile.heartbeat_entropy_normalization = false; // Low entropy for IoT-like traffic\n return profile;\n }\n\n case DPIBypassMode::kCustom:\n default:\n // Return default profile\n return ObfuscationProfile{};\n }\n}\n\nconst char* dpi_mode_to_string(DPIBypassMode mode) {\n switch (mode) {\n case DPIBypassMode::kIoTMimic:\n return \"IoT Mimic\";\n case DPIBypassMode::kQUICLike:\n return \"QUIC-Like\";\n case DPIBypassMode::kRandomNoise:\n return \"Random-Noise Stealth\";\n case DPIBypassMode::kTrickle:\n return \"Trickle Mode\";\n case DPIBypassMode::kCustom:\n return \"Custom\";\n default:\n return \"Unknown\";\n }\n}\n\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str) {\n if (str == \"IoT Mimic\" || str == \"iot_mimic\" || str == \"0\") {\n return DPIBypassMode::kIoTMimic;\n }\n if (str == \"QUIC-Like\" || str == \"quic_like\" || str == \"1\") {\n return DPIBypassMode::kQUICLike;\n }\n if (str == \"Random-Noise Stealth\" || str == \"random_noise\" || str == \"2\") {\n return DPIBypassMode::kRandomNoise;\n }\n if (str == \"Trickle Mode\" || str == \"trickle\" || str == \"3\") {\n return DPIBypassMode::kTrickle;\n }\n if (str == \"Custom\" || str == \"custom\" || str == \"255\") {\n return DPIBypassMode::kCustom;\n }\n return std::nullopt;\n}\n\nconst char* dpi_mode_description(DPIBypassMode mode) {\n switch (mode) {\n case DPIBypassMode::kIoTMimic:\n return \"Simulates IoT sensor traffic. Good balance of stealth and performance.\";\n case DPIBypassMode::kQUICLike:\n return \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";\n case DPIBypassMode::kRandomNoise:\n return \"Maximum unpredictability. Use in extreme censorship scenarios.\";\n case DPIBypassMode::kTrickle:\n return \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";\n case DPIBypassMode::kCustom:\n return \"User-defined custom profile.\";\n default:\n return \"Unknown mode.\";\n }\n}\n\n} // namespace veil::obfuscation"
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[2025-12-07T21:41:52.096Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01KzQvWWrV5SXKKi3zvBPpLv","type":"tool_result","content":"The file /tmp/gh-issue-solver-1765143378997/src/common/obfuscation/obfuscation_profile.cpp has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 564→ metrics.total_prefix_bytes += prefix_size;\n 565→ metrics.avg_prefix_per_packet = static_cast<double>(metrics.total_prefix_bytes) / n;\n 566→}\n 567→\n 568→void reset_metrics(ObfuscationMetrics& metrics) {\n 569→ metrics = ObfuscationMetrics{};\n 570→}\n 571→\n 572→// ============================================================================\n 573→// DPI Bypass Mode Factory Functions\n 574→// ============================================================================\n 575→\n 576→ObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode) {\n 577→ using namespace std::chrono_literals;\n 578→\n 579→ switch (mode) {\n 580→ case DPIBypassMode::kIoTMimic: {\n 581→ // Mode A: IoT Mimic - Simulate IoT sensor telemetry\n 582→ ObfuscationProfile profile;\n 583→ profile.enabled = true;\n 584→ profile.max_padding_size = 200;\n 585→ profile.min_padding_size = 20;\n 586→ profile.min_prefix_size = 4;\n 587→ profile.max_prefix_size = 8;\n 588→ profile.heartbeat_min = 10s;\n 589→ profile.heartbeat_max = 20s;\n 590→ profile.timing_jitter_enabled = true;\n 591→ profile.max_timing_jitter_ms = 30;\n 592→ profile.size_variance = 0.3f;\n 593→ profile.padding_distribution = {\n 594→ .small_weight = 70, // Predominantly small packets\n 595→ .medium_weight = 25,\n 596→ .large_weight = 5,\n 597→ .small_min = 20,\n 598→ .small_max = 150,\n 599→ .medium_min = 150,\n 600→ .medium_max = 300,\n 601→ .large_min = 300,\n 602→ .large_max = 500,\n 603→ .jitter_range = 15,\n 604→ };\n 605→ profile.use_advanced_padding = true;\n 606→ profile.timing_jitter_model = TimingJitterModel::kPoisson;\n 607→ profile.timing_jitter_scale = 0.8f;\n 608→ profile.heartbeat_type = HeartbeatType::kIoTSensor;\n 609→ profile.heartbeat_entropy_normalization = true;\n 610→ return profile;\n 611→ }\n 612→\n 613→ case DPIBypassMode::kQUICLike: {\n 614→ // Mode B: QUIC-Like - Mimic QUIC/HTTP3 traffic\n 615→ ObfuscationProfile profile;\n 616→ profile.enabled = true;\n 617→ profile.max_padding_size = 1200;\n 618→ profile.min_padding_size = 100;\n 619→ profile.min_prefix_size = 8;\n 620→ profile.max_prefix_size = 16;\n 621→ profile.heartbeat_min = 30s;\n 622→ profile.heartbeat_max = 60s;\n 623→ profile.timing_jitter_enabled = true;\n 624→ profile.max_timing_jitter_ms = 100;\n 625→ profile.size_variance = 0.7f;\n 626→ profile.padding_distribution = {\n 627→ .small_weight = 20,\n 628→ .medium_weight = 30,\n 629→ .large_weight = 50, // Predominantly large packets\n 630→ .small_min = 100,\n 631→ .small_max = 300,\n 632→ .medium_min = 300,\n 633→ .medium_max = 800,\n 634→ .large_min = 800,\n 635→ .large_max = 1200,\n 636→ .jitter_range = 50,\n 637→ };\n 638→ profile.use_advanced_padding = true;\n 639→ profile.timing_jitter_model = TimingJitterModel::kExponential; // Bursty timing\n 640→ profile.timing_jitter_scale = 1.5f;\n 641→ profile.heartbeat_type = HeartbeatType::kGenericTelemetry;\n 642→ profile.heartbeat_entropy_normalization = true;\n 643→ return profile;\n 644→ }\n 645→\n 646→ case DPIBypassMode::kRandomNoise: {\n 647→ // Mode C: Random-Noise Stealth - Maximum unpredictability\n 648→ ObfuscationProfile profile;\n 649→ profile.enabled = true;\n 650→ profile.max_padding_size = 1000;\n 651→ profile.min_padding_size = 0;\n 652→ profile.min_prefix_size = 4;\n 653→ profile.max_prefix_size = 20;\n 654→ profile.heartbeat_min = 60s; // Infrequent heartbeats\n 655→ profile.heartbeat_max = 180s;\n 656→ profile.timing_jitter_enabled = true;\n 657→ profile.max_timing_jitter_ms = 500; // Extreme jitter\n 658→ profile.size_variance = 1.0f; // Maximum variance\n 659→ profile.padding_distribution = {\n 660→ .small_weight = 33, // Equal distribution\n 661→ .medium_weight = 33,\n 662→ .large_weight = 34,\n 663→ .small_min = 0,\n 664→ .small_max = 333,\n 665→ .medium_min = 333,\n 666→ .medium_max = 666,\n 667→ .large_min = 666,\n 668→ .large_max = 1000,\n 669→ .jitter_range = 100,\n 670→ };\n 671→ profile.use_advanced_padding = true;\n 672→ profile.timing_jitter_model = TimingJitterModel::kUniform; // Random timing\n 673→ profile.timing_jitter_scale = 2.0f; // Maximum jitter scale\n 674→ profile.heartbeat_type = HeartbeatType::kEmpty; // Minimal heartbeats\n 675→ profile.heartbeat_entropy_normalization = true;\n 676→ return profile;\n 677→ }\n 678→\n 679→ case DPIBypassMode::kTrickle: {\n 680→ // Mode D: Trickle Mode - Low-and-slow traffic\n 681→ ObfuscationProfile profile;\n 682→ profile.enabled = true;\n 683→ profile.max_padding_size = 100;\n 684→ profile.min_padding_size = 10;\n 685→ profile.min_prefix_size = 4;\n 686→ profile.max_prefix_size = 6;\n 687→ profile.heartbeat_min = 120s; // Very infrequent heartbeats\n 688→ profile.heartbeat_max = 300s;\n 689→ profile.timing_jitter_enabled = true;\n 690→ profile.max_timing_jitter_ms = 500; // High jitter for stealth\n 691→ profile.size_variance = 0.2f; // Low variance (consistent small packets)\n 692→ profile.padding_distribution = {\n 693→ .small_weight = 100, // Only small packets\n 694→ .medium_weight = 0,\n 695→ .large_weight = 0,\n 696→ .small_min = 10,\n 697→ .small_max = 100,\n 698→ .medium_min = 0,\n 699→ .medium_max = 0,\n 700→ .large_min = 0,\n 701→ .large_max = 0,\n 702→ .jitter_range = 10,\n 703→ };\n 704→ profile.use_advanced_padding = true;\n 705→ profile.timing_jitter_model = TimingJitterModel::kPoisson;\n 706→ profile.timing_jitter_scale = 1.2f;\n 707→ profile.heartbeat_type = HeartbeatType::kTimestamp; // Minimal heartbeat data\n 708→ profile.heartbeat_entropy_normalization = false; // Low entropy for IoT-like traffic\n 709→ return profile;\n 710→ }\n 711→\n 712→ case DPIBypassMode::kCustom:\n 713→ default:\n 714→ // Return default profile\n 715→ return ObfuscationProfile{};\n 716→ }\n 717→}\n 718→\n 719→const char* dpi_mode_to_string(DPIBypassMode mode) {\n 720→ switch (mode) {\n 721→ case DPIBypassMode::kIoTMimic:\n 722→ return \"IoT Mimic\";\n 723→ case DPIBypassMode::kQUICLike:\n 724→ return \"QUIC-Like\";\n 725→ case DPIBypassMode::kRandomNoise:\n 726→ return \"Random-Noise Stealth\";\n 727→ case DPIBypassMode::kTrickle:\n 728→ return \"Trickle Mode\";\n 729→ case DPIBypassMode::kCustom:\n 730→ return \"Custom\";\n 731→ default:\n 732→ return \"Unknown\";\n 733→ }\n 734→}\n 735→\n 736→std::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str) {\n 737→ if (str == \"IoT Mimic\" || str == \"iot_mimic\" || str == \"0\") {\n 738→ return DPIBypassMode::kIoTMimic;\n 739→ }\n 740→ if (str == \"QUIC-Like\" || str == \"quic_like\" || str == \"1\") {\n 741→ return DPIBypassMode::kQUICLike;\n 742→ }\n 743→ if (str == \"Random-Noise Stealth\" || str == \"random_noise\" || str == \"2\") {\n 744→ return DPIBypassMode::kRandomNoise;\n 745→ }\n 746→ if (str == \"Trickle Mode\" || str == \"trickle\" || str == \"3\") {\n 747→ return DPIBypassMode::kTrickle;\n 748→ }\n 749→ if (str == \"Custom\" || str == \"custom\" || str == \"255\") {\n 750→ return DPIBypassMode::kCustom;\n 751→ }\n 752→ return std::nullopt;\n 753→}\n 754→\n 755→const char* dpi_mode_description(DPIBypassMode mode) {\n 756→ switch (mode) {\n 757→ case DPIBypassMode::kIoTMimic:\n 758→ return \"Simulates IoT sensor traffic. Good balance of stealth and performance.\";\n 759→ case DPIBypassMode::kQUICLike:\n 760→ return \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";\n 761→ case DPIBypassMode::kRandomNoise:\n 762→ return \"Maximum unpredictability. Use in extreme censorship scenarios.\";\n 763→ case DPIBypassMode::kTrickle:\n 764→ return \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";\n 765→ case DPIBypassMode::kCustom:\n 766→ return \"User-defined custom profile.\";\n 767→ default:\n 768→ return \"Unknown mode.\";\n 769→ }\n 770→}\n 771→\n 772→} // namespace veil::obfuscation\n 773→"}]},"parent_tool_use_id":null,"session_id":"d467ce9f-2404-4fdc-85e2-744f5ab2c0cd","uuid":"7560e80d-4306-4c17-adf7-132df3b87442","tool_use_result":{"filePath":"/tmp/gh-issue-solver-1765143378997/src/common/obfuscation/obfuscation_profile.cpp","oldString":"void reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n} // namespace veil::obfuscation","newString":"void reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n// ============================================================================\n// DPI Bypass Mode Factory Functions\n// ============================================================================\n\nObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode) {\n using namespace std::chrono_literals;\n\n switch (mode) {\n case DPIBypassMode::kIoTMimic: {\n // Mode A: IoT Mimic - Simulate IoT sensor telemetry\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 200;\n profile.min_padding_size = 20;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 8;\n profile.heartbeat_min = 10s;\n profile.heartbeat_max = 20s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 30;\n profile.size_variance = 0.3f;\n profile.padding_distribution = {\n .small_weight = 70, // Predominantly small packets\n .medium_weight = 25,\n .large_weight = 5,\n .small_min = 20,\n .small_max = 150,\n .medium_min = 150,\n .medium_max = 300,\n .large_min = 300,\n .large_max = 500,\n .jitter_range = 15,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kPoisson;\n profile.timing_jitter_scale = 0.8f;\n profile.heartbeat_type = HeartbeatType::kIoTSensor;\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kQUICLike: {\n // Mode B: QUIC-Like - Mimic QUIC/HTTP3 traffic\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 1200;\n profile.min_padding_size = 100;\n profile.min_prefix_size = 8;\n profile.max_prefix_size = 16;\n profile.heartbeat_min = 30s;\n profile.heartbeat_max = 60s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 100;\n profile.size_variance = 0.7f;\n profile.padding_distribution = {\n .small_weight = 20,\n .medium_weight = 30,\n .large_weight = 50, // Predominantly large packets\n .small_min = 100,\n .small_max = 300,\n .medium_min = 300,\n .medium_max = 800,\n .large_min = 800,\n .large_max = 1200,\n .jitter_range = 50,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kExponential; // Bursty timing\n profile.timing_jitter_scale = 1.5f;\n profile.heartbeat_type = HeartbeatType::kGenericTelemetry;\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kRandomNoise: {\n // Mode C: Random-Noise Stealth - Maximum unpredictability\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 1000;\n profile.min_padding_size = 0;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 20;\n profile.heartbeat_min = 60s; // Infrequent heartbeats\n profile.heartbeat_max = 180s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 500; // Extreme jitter\n profile.size_variance = 1.0f; // Maximum variance\n profile.padding_distribution = {\n .small_weight = 33, // Equal distribution\n .medium_weight = 33,\n .large_weight = 34,\n .small_min = 0,\n .small_max = 333,\n .medium_min = 333,\n .medium_max = 666,\n .large_min = 666,\n .large_max = 1000,\n .jitter_range = 100,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kUniform; // Random timing\n profile.timing_jitter_scale = 2.0f; // Maximum jitter scale\n profile.heartbeat_type = HeartbeatType::kEmpty; // Minimal heartbeats\n profile.heartbeat_entropy_normalization = true;\n return profile;\n }\n\n case DPIBypassMode::kTrickle: {\n // Mode D: Trickle Mode - Low-and-slow traffic\n ObfuscationProfile profile;\n profile.enabled = true;\n profile.max_padding_size = 100;\n profile.min_padding_size = 10;\n profile.min_prefix_size = 4;\n profile.max_prefix_size = 6;\n profile.heartbeat_min = 120s; // Very infrequent heartbeats\n profile.heartbeat_max = 300s;\n profile.timing_jitter_enabled = true;\n profile.max_timing_jitter_ms = 500; // High jitter for stealth\n profile.size_variance = 0.2f; // Low variance (consistent small packets)\n profile.padding_distribution = {\n .small_weight = 100, // Only small packets\n .medium_weight = 0,\n .large_weight = 0,\n .small_min = 10,\n .small_max = 100,\n .medium_min = 0,\n .medium_max = 0,\n .large_min = 0,\n .large_max = 0,\n .jitter_range = 10,\n };\n profile.use_advanced_padding = true;\n profile.timing_jitter_model = TimingJitterModel::kPoisson;\n profile.timing_jitter_scale = 1.2f;\n profile.heartbeat_type = HeartbeatType::kTimestamp; // Minimal heartbeat data\n profile.heartbeat_entropy_normalization = false; // Low entropy for IoT-like traffic\n return profile;\n }\n\n case DPIBypassMode::kCustom:\n default:\n // Return default profile\n return ObfuscationProfile{};\n }\n}\n\nconst char* dpi_mode_to_string(DPIBypassMode mode) {\n switch (mode) {\n case DPIBypassMode::kIoTMimic:\n return \"IoT Mimic\";\n case DPIBypassMode::kQUICLike:\n return \"QUIC-Like\";\n case DPIBypassMode::kRandomNoise:\n return \"Random-Noise Stealth\";\n case DPIBypassMode::kTrickle:\n return \"Trickle Mode\";\n case DPIBypassMode::kCustom:\n return \"Custom\";\n default:\n return \"Unknown\";\n }\n}\n\nstd::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str) {\n if (str == \"IoT Mimic\" || str == \"iot_mimic\" || str == \"0\") {\n return DPIBypassMode::kIoTMimic;\n }\n if (str == \"QUIC-Like\" || str == \"quic_like\" || str == \"1\") {\n return DPIBypassMode::kQUICLike;\n }\n if (str == \"Random-Noise Stealth\" || str == \"random_noise\" || str == \"2\") {\n return DPIBypassMode::kRandomNoise;\n }\n if (str == \"Trickle Mode\" || str == \"trickle\" || str == \"3\") {\n return DPIBypassMode::kTrickle;\n }\n if (str == \"Custom\" || str == \"custom\" || str == \"255\") {\n return DPIBypassMode::kCustom;\n }\n return std::nullopt;\n}\n\nconst char* dpi_mode_description(DPIBypassMode mode) {\n switch (mode) {\n case DPIBypassMode::kIoTMimic:\n return \"Simulates IoT sensor traffic. Good balance of stealth and performance.\";\n case DPIBypassMode::kQUICLike:\n return \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";\n case DPIBypassMode::kRandomNoise:\n return \"Maximum unpredictability. Use in extreme censorship scenarios.\";\n case DPIBypassMode::kTrickle:\n return \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";\n case DPIBypassMode::kCustom:\n return \"User-defined custom profile.\";\n default:\n return \"Unknown mode.\";\n }\n}\n\n} // namespace veil::obfuscation","originalFile":"#include \"common/obfuscation/obfuscation_profile.h\"\n\n#include <algorithm>\n#include <charconv>\n#include <chrono>\n#include <cmath>\n#include <cstdint>\n#include <cstring>\n#include <optional>\n#include <string>\n\n#include \"common/crypto/crypto_engine.h\"\n#include \"common/crypto/random.h\"\n\nnamespace veil::obfuscation {\n\nnamespace {\n\n// Convert hex string to byte array.\nbool hex_to_bytes(const std::string& hex, std::array<std::uint8_t, kProfileSeedSize>& out) {\n if (hex.size() != kProfileSeedSize * 2) {\n return false;\n }\n for (std::size_t i = 0; i < kProfileSeedSize; ++i) {\n const auto byte_str = hex.substr(i * 2, 2);\n std::uint8_t byte = 0;\n auto result = std::from_chars(byte_str.data(), byte_str.data() + 2, byte, 16);\n if (result.ec != std::errc{}) {\n return false;\n }\n out[i] = byte;\n }\n return true;\n}\n\n// Derive a deterministic value using HMAC of seed + counter.\nstd::uint64_t derive_value(const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t counter, const char* context) {\n // Create input: seed || counter || context.\n std::vector<std::uint8_t> input;\n input.reserve(seed.size() + 8 + std::strlen(context));\n input.insert(input.end(), seed.begin(), seed.end());\n for (int i = 7; i >= 0; --i) {\n input.push_back(static_cast<std::uint8_t>((counter >> (8 * i)) & 0xFF));\n }\n input.insert(input.end(), context, context + std::strlen(context));\n\n // HMAC with seed as key.\n auto hmac = crypto::hmac_sha256(seed, input);\n\n // Extract first 8 bytes as uint64.\n std::uint64_t value = 0;\n for (int i = 0; i < 8; ++i) {\n value = (value << 8) | hmac[static_cast<std::size_t>(i)];\n }\n return value;\n}\n\n} // namespace\n\nstd::optional<ObfuscationConfig> parse_obfuscation_config(\n const std::string& enabled, const std::string& max_padding,\n const std::string& profile_seed, const std::string& heartbeat_min,\n const std::string& heartbeat_max, const std::string& timing_jitter) {\n ObfuscationConfig config;\n\n // Parse enabled.\n config.enabled = (enabled == \"true\" || enabled == \"1\" || enabled == \"yes\");\n\n // Parse max_padding_size.\n if (!max_padding.empty()) {\n int val = 0;\n auto result = std::from_chars(max_padding.data(), max_padding.data() + max_padding.size(), val);\n if (result.ec == std::errc{} && val >= 0 && val <= 65535) {\n config.max_padding_size = static_cast<std::uint16_t>(val);\n }\n }\n\n // Parse profile_seed.\n config.profile_seed_hex = profile_seed;\n\n // Parse heartbeat intervals.\n if (!heartbeat_min.empty()) {\n int val = 0;\n auto result =\n std::from_chars(heartbeat_min.data(), heartbeat_min.data() + heartbeat_min.size(), val);\n if (result.ec == std::errc{} && val >= 0) {\n config.heartbeat_interval_min = std::chrono::seconds(val);\n }\n }\n if (!heartbeat_max.empty()) {\n int val = 0;\n auto result =\n std::from_chars(heartbeat_max.data(), heartbeat_max.data() + heartbeat_max.size(), val);\n if (result.ec == std::errc{} && val >= 0) {\n config.heartbeat_interval_max = std::chrono::seconds(val);\n }\n }\n\n // Parse timing_jitter.\n config.enable_timing_jitter =\n (timing_jitter == \"true\" || timing_jitter == \"1\" || timing_jitter == \"yes\");\n\n return config;\n}\n\nObfuscationProfile config_to_profile(const ObfuscationConfig& config) {\n ObfuscationProfile profile;\n profile.enabled = config.enabled;\n profile.max_padding_size = config.max_padding_size;\n profile.heartbeat_min = config.heartbeat_interval_min;\n profile.heartbeat_max = config.heartbeat_interval_max;\n profile.timing_jitter_enabled = config.enable_timing_jitter;\n\n // Parse or generate profile seed.\n if (config.profile_seed_hex.empty() || config.profile_seed_hex == \"auto\") {\n profile.profile_seed = generate_profile_seed();\n } else {\n if (!hex_to_bytes(config.profile_seed_hex, profile.profile_seed)) {\n // Invalid hex, generate random seed.\n profile.profile_seed = generate_profile_seed();\n }\n }\n\n return profile;\n}\n\nstd::array<std::uint8_t, kProfileSeedSize> generate_profile_seed() {\n std::array<std::uint8_t, kProfileSeedSize> seed{};\n auto random = crypto::random_bytes(kProfileSeedSize);\n std::copy(random.begin(), random.end(), seed.begin());\n return seed;\n}\n\nstd::uint16_t compute_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence) {\n if (!profile.enabled || profile.max_padding_size == 0) {\n return 0;\n }\n\n const auto value = derive_value(profile.profile_seed, sequence, \"padding\");\n const auto range = static_cast<std::uint16_t>(profile.max_padding_size - profile.min_padding_size + 1);\n return static_cast<std::uint16_t>(profile.min_padding_size + static_cast<std::uint16_t>(value % range));\n}\n\nstd::uint8_t compute_prefix_size(const ObfuscationProfile& profile, std::uint64_t sequence) {\n if (!profile.enabled) {\n return 0;\n }\n\n const auto value = derive_value(profile.profile_seed, sequence, \"prefix\");\n const auto range = static_cast<std::uint8_t>(profile.max_prefix_size - profile.min_prefix_size + 1);\n return static_cast<std::uint8_t>(profile.min_prefix_size + static_cast<std::uint8_t>(value % range));\n}\n\nstd::uint16_t compute_timing_jitter(const ObfuscationProfile& profile, std::uint64_t sequence) {\n if (!profile.enabled || !profile.timing_jitter_enabled || profile.max_timing_jitter_ms == 0) {\n return 0;\n }\n\n const auto value = derive_value(profile.profile_seed, sequence, \"jitter\");\n return static_cast<std::uint16_t>(value % (profile.max_timing_jitter_ms + 1));\n}\n\nstd::chrono::milliseconds compute_heartbeat_interval(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_count) {\n const auto min_ms =\n std::chrono::duration_cast<std::chrono::milliseconds>(profile.heartbeat_min).count();\n const auto max_ms =\n std::chrono::duration_cast<std::chrono::milliseconds>(profile.heartbeat_max).count();\n\n if (min_ms >= max_ms) {\n return std::chrono::milliseconds(min_ms);\n }\n\n const auto value = derive_value(profile.profile_seed, heartbeat_count, \"heartbeat\");\n const auto range = static_cast<std::uint64_t>(max_ms - min_ms + 1);\n return std::chrono::milliseconds(min_ms + static_cast<long long>(value % range));\n}\n\nPaddingSizeClass compute_padding_class(const ObfuscationProfile& profile, std::uint64_t sequence) {\n if (!profile.enabled || !profile.use_advanced_padding) {\n return PaddingSizeClass::kSmall;\n }\n\n const auto& dist = profile.padding_distribution;\n const auto total_weight = static_cast<std::uint16_t>(dist.small_weight + dist.medium_weight + dist.large_weight);\n if (total_weight == 0) {\n return PaddingSizeClass::kSmall;\n }\n\n const auto value = derive_value(profile.profile_seed, sequence, \"padclass\");\n const auto roll = static_cast<std::uint16_t>(value % total_weight);\n\n if (roll < dist.small_weight) {\n return PaddingSizeClass::kSmall;\n }\n if (roll < static_cast<std::uint16_t>(dist.small_weight + dist.medium_weight)) {\n return PaddingSizeClass::kMedium;\n }\n return PaddingSizeClass::kLarge;\n}\n\nstd::uint16_t compute_advanced_padding_size(const ObfuscationProfile& profile, std::uint64_t sequence) {\n if (!profile.enabled) {\n return 0;\n }\n\n if (!profile.use_advanced_padding) {\n return compute_padding_size(profile, sequence);\n }\n\n const auto& dist = profile.padding_distribution;\n const auto padding_class = compute_padding_class(profile, sequence);\n\n std::uint16_t min_size = 0;\n std::uint16_t max_size = 0;\n\n switch (padding_class) {\n case PaddingSizeClass::kSmall:\n min_size = dist.small_min;\n max_size = dist.small_max;\n break;\n case PaddingSizeClass::kMedium:\n min_size = dist.medium_min;\n max_size = dist.medium_max;\n break;\n case PaddingSizeClass::kLarge:\n min_size = dist.large_min;\n max_size = dist.large_max;\n break;\n }\n\n if (min_size >= max_size) {\n return min_size;\n }\n\n // Get base size within the range.\n const auto value = derive_value(profile.profile_seed, sequence, \"advpad\");\n const auto range = static_cast<std::uint16_t>(max_size - min_size + 1);\n auto base_size = static_cast<std::uint16_t>(min_size + static_cast<std::uint16_t>(value % range));\n\n // Apply jitter if configured.\n if (dist.jitter_range > 0) {\n const auto jitter_value = derive_value(profile.profile_seed, sequence + 1000000, \"padjit\");\n const auto jitter_range_full = static_cast<std::uint16_t>(dist.jitter_range * 2 + 1);\n const auto jitter_offset = static_cast<std::int16_t>(jitter_value % jitter_range_full) -\n static_cast<std::int16_t>(dist.jitter_range);\n\n // Apply jitter but clamp to valid range.\n const auto new_size = static_cast<std::int32_t>(base_size) + jitter_offset;\n base_size = static_cast<std::uint16_t>(\n std::clamp(new_size, static_cast<std::int32_t>(min_size), static_cast<std::int32_t>(max_size)));\n }\n\n return base_size;\n}\n\nstd::chrono::microseconds compute_timing_jitter_advanced(const ObfuscationProfile& profile,\n std::uint64_t sequence) {\n if (!profile.enabled || !profile.timing_jitter_enabled || profile.max_timing_jitter_ms == 0) {\n return std::chrono::microseconds(0);\n }\n\n const auto base_value = derive_value(profile.profile_seed, sequence, \"advjit\");\n\n // Normalize to [0, 1).\n const auto normalized = static_cast<double>(base_value) / static_cast<double>(UINT64_MAX);\n\n double jitter_ms = 0.0;\n const auto max_jitter = static_cast<double>(profile.max_timing_jitter_ms);\n\n switch (profile.timing_jitter_model) {\n case TimingJitterModel::kUniform:\n // Uniform distribution: jitter uniformly in [0, max_jitter].\n jitter_ms = normalized * max_jitter;\n break;\n\n case TimingJitterModel::kPoisson: {\n // Poisson-like: use inverse transform of exponential CDF.\n // -ln(1 - U) * lambda, where lambda is scaled to give expected value ~ max_jitter/2.\n const auto lambda = max_jitter / 2.0;\n // Avoid log(0) by clamping.\n const auto clamped = std::max(normalized, 1e-10);\n jitter_ms = -std::log(1.0 - clamped) * lambda;\n // Cap at max_jitter.\n jitter_ms = std::min(ji
[2025-12-07T21:41:52.100Z] [INFO] tter_ms, max_jitter);\n break;\n }\n\n case TimingJitterModel::kExponential: {\n // Exponential distribution: -ln(1 - U) * mean.\n // More bursty than Poisson.\n const auto mean = max_jitter / 3.0; // Lower mean for more bursty behavior.\n const auto clamped = std::max(normalized, 1e-10);\n jitter_ms = -std::log(1.0 - clamped) * mean;\n // Cap at max_jitter.\n jitter_ms = std::min(jitter_ms, max_jitter);\n break;\n }\n }\n\n // Apply scale factor.\n jitter_ms *= static_cast<double>(profile.timing_jitter_scale);\n\n // Convert to microseconds.\n return std::chrono::microseconds(static_cast<std::int64_t>(jitter_ms * 1000.0));\n}\n\nstd::chrono::steady_clock::time_point calculate_next_send_ts(\n const ObfuscationProfile& profile, std::uint64_t sequence,\n std::chrono::steady_clock::time_point base_ts) {\n if (!profile.enabled || !profile.timing_jitter_enabled) {\n return base_ts;\n }\n\n const auto jitter = compute_timing_jitter_advanced(profile, sequence);\n return base_ts + jitter;\n}\n\nstd::vector<std::uint8_t> generate_iot_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence) {\n std::vector<std::uint8_t> payload;\n payload.reserve(32); // Typical IoT payload size.\n\n const auto& tmpl = profile.iot_sensor_template;\n\n // Generate deterministic \"random\" values based on seed and sequence.\n const auto temp_val = derive_value(profile.profile_seed, heartbeat_sequence, \"iot_temp\");\n const auto humidity_val = derive_value(profile.profile_seed, heartbeat_sequence, \"iot_hum\");\n const auto battery_val = derive_value(profile.profile_seed, heartbeat_sequence, \"iot_bat\");\n\n // Normalize to ranges.\n const auto temp_norm = static_cast<double>(temp_val % 10000) / 10000.0;\n const auto humidity_norm = static_cast<double>(humidity_val % 10000) / 10000.0;\n const auto battery_norm = static_cast<double>(battery_val % 10000) / 10000.0;\n\n const auto temperature = tmpl.temp_min + static_cast<float>(temp_norm * static_cast<double>(tmpl.temp_max - tmpl.temp_min));\n const auto humidity = tmpl.humidity_min + static_cast<float>(humidity_norm * static_cast<double>(tmpl.humidity_max - tmpl.humidity_min));\n const auto battery = tmpl.battery_min + static_cast<float>(battery_norm * static_cast<double>(tmpl.battery_max - tmpl.battery_min));\n\n // IoT packet structure (simplified):\n // [0]: Message type (0x01 = sensor data)\n // [1]: Device ID\n // [2-3]: Sequence number (big-endian, low 16 bits)\n // [4-7]: Temperature (float, big-endian IEEE 754)\n // [8-11]: Humidity (float, big-endian IEEE 754)\n // [12-15]: Battery voltage (float, big-endian IEEE 754)\n // [16-19]: Timestamp offset (4 bytes)\n // [20-23]: Checksum placeholder (4 bytes)\n\n payload.push_back(0x01); // Message type.\n payload.push_back(tmpl.device_id);\n\n // Sequence (16-bit).\n const auto seq16 = static_cast<std::uint16_t>(heartbeat_sequence & 0xFFFF);\n payload.push_back(static_cast<std::uint8_t>((seq16 >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(seq16 & 0xFF));\n\n // Helper to write float as big-endian bytes.\n auto write_float = [&payload](float value) {\n std::uint32_t bits = 0;\n std::memcpy(&bits, &value, sizeof(bits));\n payload.push_back(static_cast<std::uint8_t>((bits >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((bits >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((bits >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(bits & 0xFF));\n };\n\n write_float(temperature);\n write_float(humidity);\n write_float(battery);\n\n // Timestamp offset (deterministic pseudo-random).\n const auto ts_offset = static_cast<std::uint32_t>(derive_value(profile.profile_seed, heartbeat_sequence, \"iot_ts\") & 0xFFFFFFFF);\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((ts_offset >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(ts_offset & 0xFF));\n\n // Simple checksum (XOR of all bytes).\n std::uint32_t checksum = 0;\n for (const auto& byte : payload) {\n checksum ^= byte;\n checksum = (checksum << 1) | (checksum >> 31); // Rotate left.\n }\n payload.push_back(static_cast<std::uint8_t>((checksum >> 24) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((checksum >> 16) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>((checksum >> 8) & 0xFF));\n payload.push_back(static_cast<std::uint8_t>(checksum & 0xFF));\n\n return payload;\n}\n\nstd::vector<std::uint8_t> generate_telemetry_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence) {\n std::vector<std::uint8_t> payload;\n payload.reserve(24);\n\n // Generic telemetry structure:\n // [0-3]: Magic (0x54454C4D = \"TELM\")\n // [4-5]: Version (0x0001)\n // [6-7]: Payload length\n // [8-15]: Sequence number\n // [16-23]: Timestamp placeholder\n\n payload.push_back(0x54); // 'T'\n payload.push_back(0x45); // 'E'\n payload.push_back(0x4C); // 'L'\n payload.push_back(0x4D); // 'M'\n\n payload.push_back(0x00); // Version high.\n payload.push_back(0x01); // Version low.\n\n payload.push_back(0x00); // Length high.\n payload.push_back(0x10); // Length low (16 bytes following).\n\n // Sequence number.\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((heartbeat_sequence >> (8 * i)) & 0xFF));\n }\n\n // Pseudo-timestamp.\n const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"tel_ts\");\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n }\n\n return payload;\n}\n\nstd::vector<std::uint8_t> generate_heartbeat_payload(const ObfuscationProfile& profile,\n std::uint64_t heartbeat_sequence) {\n switch (profile.heartbeat_type) {\n case HeartbeatType::kEmpty:\n return {};\n\n case HeartbeatType::kTimestamp: {\n std::vector<std::uint8_t> payload;\n payload.reserve(8);\n const auto ts = derive_value(profile.profile_seed, heartbeat_sequence, \"hb_ts\");\n for (int i = 7; i >= 0; --i) {\n payload.push_back(static_cast<std::uint8_t>((ts >> (8 * i)) & 0xFF));\n }\n return payload;\n }\n\n case HeartbeatType::kIoTSensor:\n return generate_iot_heartbeat_payload(profile, heartbeat_sequence);\n\n case HeartbeatType::kGenericTelemetry:\n return generate_telemetry_heartbeat_payload(profile, heartbeat_sequence);\n }\n\n return {};\n}\n\nvoid apply_entropy_normalization(std::vector<std::uint8_t>& buffer,\n const std::array<std::uint8_t, kProfileSeedSize>& seed,\n std::uint64_t sequence) {\n // Count byte frequency.\n std::array<std::size_t, 256> frequency{};\n for (const auto byte : buffer) {\n ++frequency[byte];\n }\n\n // Find underrepresented bytes (appear less than expected).\n const auto expected_count = buffer.size() / 256;\n std::vector<std::uint8_t> underrepresented;\n for (std::size_t i = 0; i < 256; ++i) {\n if (frequency[i] < expected_count) {\n underrepresented.push_back(static_cast<std::uint8_t>(i));\n }\n }\n\n if (underrepresented.empty()) {\n return; // Already normalized enough.\n }\n\n // Generate deterministic substitution pattern.\n std::vector<std::uint8_t> input;\n input.reserve(seed.size() + 8 + 7);\n input.insert(input.end(), seed.begin(), seed.end());\n for (int i = 7; i >= 0; --i) {\n input.push_back(static_cast<std::uint8_t>((sequence >> (8 * i)) & 0xFF));\n }\n const char* context = \"entropy\";\n input.insert(input.end(), context, context + 7);\n\n auto hmac = crypto::hmac_sha256(seed, input);\n\n // XOR some bytes to increase entropy (modifying padding bytes only).\n // This is a simplified approach - real implementation would be more sophisticated.\n const std::size_t bytes_to_modify = std::min(buffer.size() / 10, hmac.size());\n for (std::size_t i = 0; i < bytes_to_modify; ++i) {\n const auto idx = static_cast<std::size_t>(hmac[i]) % buffer.size();\n buffer[idx] ^= hmac[(i + 1) % hmac.size()];\n }\n}\n\nvoid update_metrics(ObfuscationMetrics& metrics, std::uint16_t packet_size,\n std::uint16_t padding_size, std::uint16_t prefix_size,\n double interval_ms, bool is_heartbeat) {\n ++metrics.packets_measured;\n\n // Update packet size statistics (Welford's online algorithm).\n const auto n = static_cast<double>(metrics.packets_measured);\n const auto delta = static_cast<double>(packet_size) - metrics.avg_packet_size;\n metrics.avg_packet_size += delta / n;\n const auto delta2 = static_cast<double>(packet_size) - metrics.avg_packet_size;\n metrics.packet_size_variance += delta * delta2;\n\n if (metrics.packets_measured > 1) {\n metrics.packet_size_stddev = std::sqrt(metrics.packet_size_variance / (n - 1.0));\n }\n\n // Update min/max.\n if (metrics.packets_measured == 1 || packet_size < metrics.min_packet_size) {\n metrics.min_packet_size = packet_size;\n }\n if (packet_size > metrics.max_packet_size) {\n metrics.max_packet_size = packet_size;\n }\n\n // Update size histogram.\n const auto bucket = std::min(static_cast<std::size_t>(packet_size / 64), std::size_t{15});\n ++metrics.size_histogram[bucket];\n\n // Update interval statistics.\n if (interval_ms >= 0.0) {\n const auto interval_delta = interval_ms - metrics.avg_interval_ms;\n metrics.avg_interval_ms += interval_delta / n;\n const auto interval_delta2 = interval_ms - metrics.avg_interval_ms;\n metrics.interval_variance += interval_delta * interval_delta2;\n\n if (metrics.packets_measured > 1) {\n metrics.interval_stddev = std::sqrt(metrics.interval_variance / (n - 1.0));\n }\n\n // Update timing histogram.\n const auto timing_bucket = std::min(static_cast<std::size_t>(interval_ms / 10.0), std::size_t{15});\n ++metrics.timing_histogram[timing_bucket];\n }\n\n // Update heartbeat statistics.\n if (is_heartbeat) {\n ++metrics.heartbeats_sent;\n }\n metrics.heartbeat_ratio = static_cast<double>(metrics.heartbeats_sent) / n;\n\n // Update padding statistics.\n metrics.total_padding_bytes += padding_size;\n metrics.avg_padding_per_packet = static_cast<double>(metrics.total_padding_bytes) / n;\n\n // Update padding size class distribution (based on size).\n if (padding_size <= 100) {\n ++metrics.small_padding_count;\n } else if (padding_size <= 400) {\n ++metrics.medium_padding_count;\n } else {\n ++metrics.large_padding_count;\n }\n\n // Update prefix statistics.\n metrics.total_prefix_bytes += prefix_size;\n metrics.avg_prefix_per_packet = static_cast<double>(metrics.total_prefix_bytes) / n;\n}\n\nvoid reset_metrics(ObfuscationMetrics& metrics) {\n metrics = ObfuscationMetrics{};\n}\n\n} // namespace veil::obfuscation\n","structuredPatch":[{"oldStart":569,"oldLines":4,"newStart":569,"newLines":204,"lines":[" metrics = ObfuscationMetrics{};"," }"," ","+// ============================================================================","+// DPI Bypass Mode Factory Functions","+// ============================================================================","+","+ObfuscationProfile create_dpi_mode_profile(DPIBypassMode mode) {","+ using namespace std::chrono_literals;","+","+ switch (mode) {","+ case DPIBypassMode::kIoTMimic: {","+ // Mode A: IoT Mimic - Simulate IoT sensor telemetry","+ ObfuscationProfile profile;","+ profile.enabled = true;","+ profile.max_padding_size = 200;","+ profile.min_padding_size = 20;","+ profile.min_prefix_size = 4;","+ profile.max_prefix_size = 8;","+ profile.heartbeat_min = 10s;","+ profile.heartbeat_max = 20s;","+ profile.timing_jitter_enabled = true;","+ profile.max_timing_jitter_ms = 30;","+ profile.size_variance = 0.3f;","+ profile.padding_distribution = {","+ .small_weight = 70, // Predominantly small packets","+ .medium_weight = 25,","+ .large_weight = 5,","+ .small_min = 20,","+ .small_max = 150,","+ .medium_min = 150,","+ .medium_max = 300,","+ .large_min = 300,","+ .large_max = 500,","+ .jitter_range = 15,","+ };","+ profile.use_advanced_padding = true;","+ profile.timing_jitter_model = TimingJitterModel::kPoisson;","+ profile.timing_jitter_scale = 0.8f;","+ profile.heartbeat_type = HeartbeatType::kIoTSensor;","+ profile.heartbeat_entropy_normalization = true;","+ return profile;","+ }","+","+ case DPIBypassMode::kQUICLike: {","+ // Mode B: QUIC-Like - Mimic QUIC/HTTP3 traffic","+ ObfuscationProfile profile;","+ profile.enabled = true;","+ profile.max_padding_size = 1200;","+ profile.min_padding_size = 100;","+ profile.min_prefix_size = 8;","+ profile.max_prefix_size = 16;","+ profile.heartbeat_min = 30s;","+ profile.heartbeat_max = 60s;","+ profile.timing_jitter_enabled = true;","+ profile.max_timing_jitter_ms = 100;","+ profile.size_variance = 0.7f;","+ profile.padding_distribution = {","+ .small_weight = 20,","+ .medium_weight = 30,","+ .large_weight = 50, // Predominantly large packets","+ .small_min = 100,","+ .small_max = 300,","+ .medium_min = 300,","+ .medium_max = 800,","+ .large_min = 800,","+ .large_max = 1200,","+ .jitter_range = 50,","+ };","+ profile.use_advanced_padding = true;","+ profile.timing_jitter_model = TimingJitterModel::kExponential; // Bursty timing","+ profile.timing_jitter_scale = 1.5f;","+ profile.heartbeat_type = HeartbeatType::kGenericTelemetry;","+ profile.heartbeat_entropy_normalization = true;","+ return profile;","+ }","+","+ case DPIBypassMode::kRandomNoise: {","+ // Mode C: Random-Noise Stealth - Maximum unpredictability","+ ObfuscationProfile profile;","+ profile.enabled = true;","+ profile.max_padding_size = 1000;","+ profile.min_padding_size = 0;","+ profile.min_prefix_size = 4;","+ profile.max_prefix_size = 20;","+ profile.heartbeat_min = 60s; // Infrequent heartbeats","+ profile.heartbeat_max = 180s;","+ profile.timing_jitter_enabled = true;","+ profile.max_timing_jitter_ms = 500; // Extreme jitter","+ profile.size_variance = 1.0f; // Maximum variance","+ profile.padding_distribution = {","+ .small_weight = 33, // Equal distribution","+ .medium_weight = 33,","+ .large_weight = 34,","+ .small_min = 0,","+ .small_max = 333,","+ .medium_min = 333,","+ .medium_max = 666,","+ .large_min = 666,","+ .large_max = 1000,","+ .jitter_range = 100,","+ };","+ profile.use_advanced_padding = true;","+ profile.timing_jitter_model = TimingJitterModel::kUniform; // Random timing","+ profile.timing_jitter_scale = 2.0f; // Maximum jitter scale","+ profile.heartbeat_type = HeartbeatType::kEmpty; // Minimal heartbeats","+ profile.heartbeat_entropy_normalization = true;","+ return profile;","+ }","+","+ case DPIBypassMode::kTrickle: {","+ // Mode D: Trickle Mode - Low-and-slow traffic","+ ObfuscationProfile profile;","+ profile.enabled = true;","+ profile.max_padding_size = 100;","+ profile.min_padding_size = 10;","+ profile.min_prefix_size = 4;","+ profile.max_prefix_size = 6;","+ profile.heartbeat_min = 120s; // Very infrequent heartbeats","+ profile.heartbeat_max = 300s;","+ profile.timing_jitter_enabled = true;","+ profile.max_timing_jitter_ms = 500; // High jitter for stealth","+ profile.size_variance = 0.2f; // Low variance (consistent small packets)","+ profile.padding_distribution = {","+ .small_weight = 100, // Only small packets","+ .medium_weight = 0,","+ .large_weight = 0,","+ .small_min = 10,","+ .small_max = 100,","+ .medium_min = 0,","+ .medium_max = 0,","+ .large_min = 0,","+ .large_max = 0,","+ .jitter_range = 10,","+ };","+ profile.use_advanced_padding = true;","+ profile.timing_jitter_model = TimingJitterModel::kPoisson;","+ profile.timing_jitter_scale = 1.2f;","+ profile.heartbeat_type = HeartbeatType::kTimestamp; // Minimal heartbeat data","+ profile.heartbeat_entropy_normalization = false; // Low entropy for IoT-like traffic","+ return profile;","+ }","+","+ case DPIBypassMode::kCustom:","+ default:","+ // Return default profile","+ return ObfuscationProfile{};","+ }","+}","+","+const char* dpi_mode_to_string(DPIBypassMode mode) {","+ switch (mode) {","+ case DPIBypassMode::kIoTMimic:","+ return \"IoT Mimic\";","+ case DPIBypassMode::kQUICLike:","+ return \"QUIC-Like\";","+ case DPIBypassMode::kRandomNoise:","+ return \"Random-Noise Stealth\";","+ case DPIBypassMode::kTrickle:","+ return \"Trickle Mode\";","+ case DPIBypassMode::kCustom:","+ return \"Custom\";","+ default:","+ return \"Unknown\";","+ }","+}","+","+std::optional<DPIBypassMode> dpi_mode_from_string(const std::string& str) {","+ if (str == \"IoT Mimic\" || str == \"iot_mimic\" || str == \"0\") {","+ return DPIBypassMode::kIoTMimic;","+ }","+ if (str == \"QUIC-Like\" || str == \"quic_like\" || str == \"1\") {","+ return DPIBypassMode::kQUICLike;","+ }","+ if (str == \"Random-Noise Stealth\" || str == \"random_noise\" || str == \"2\") {","+ return DPIBypassMode::kRandomNoise;","+ }","+ if (str == \"Trickle Mode\" || str == \"trickle\" || str == \"3\") {","+ return DPIBypassMode::kTrickle;","+ }","+ if (str == \"Custom\" || str == \"custom\" || str == \"255\") {","+ return DPIBypassMode::kCustom;","+ }","+ return std::nullopt;","+}","+","+const char* dpi_mode_description(DPIBypassMode mode) {","+ switch (mode) {","+ case DPIBypassMode::kIoTMimic:","+ return \"Simulates IoT sensor traffic. Good balance of stealth and performance.\";","+ case DPIBypassMode::kQUICLike:","+ return \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\";","+ case DPIBypassMode::kRandomNoise:","+ return \"Maximum unpredictability. Use in extreme censorship scenarios.\";","+ case DPIBypassMode::kTrickle:","+ return \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\";","+ case DPIBypassMode::kCustom:","+ return \"User-defined custom profile.\";","+ default:","+ return \"Unknown mode.\";","+ }","+}","+"," } // namespace veil::obfuscation"]}],"userModified":false,"replaceAll":false}}
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"old_string": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\nnamespace veil::ipc {",
"new_string": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\n// Forward declaration for DPI bypass mode\nnamespace veil::obfuscation {\nenum class DPIBypassMode : std::uint8_t;\n}\n\nnamespace veil::ipc {"
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[2025-12-07T21:42:07.133Z] [INFO] {
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"originalFile": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\nnamespace veil::ipc {\n\n// ============================================================================\n// IPC Protocol - JSON over Unix Domain Socket\n// ============================================================================\n// This protocol is used for communication between GUI applications and daemons.\n//\n// Message Format:\n// {\n// \"type\": \"command\" | \"event\" | \"response\" | \"error\",\n// \"id\": <optional request ID for request-response correlation>,\n// \"payload\": { ... type-specific data ... }\n// }\n\n// Connection states (matches client_ui_design.md specification)\nenum class ConnectionState {\n kDisconnected,\n kConnecting,\n kConnected,\n kReconnecting,\n kError\n};\n\n// Command types from GUI to Daemon\nenum class CommandType {\n kConnect,\n kDisconnect,\n kGetStatus,\n kGetMetrics,\n kGetDiagnostics,\n kUpdateConfig,\n kExportDiagnostics\n};\n\n// Event types from Daemon to GUI\nenum class EventType {\n kStatusUpdate,\n kMetricsUpdate,\n kConnectionStateChange,\n kError,\n kLogEvent\n};\n\n// ============================================================================\n// Data Structures\n// ============================================================================\n\n// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n};\n\n// Current connection status\nstruct ConnectionStatus {\n ConnectionState state{ConnectionState::kDisconnected};\n std::string session_id;\n std::string server_address;\n std::uint16_t server_port{0};\n std::uint64_t uptime_sec{0};\n std::string error_message;\n std::uint32_t reconnect_attempt{0};\n};\n\n// Real-time metrics\nstruct ConnectionMetrics {\n std::uint32_t latency_ms{0};\n std::uint64_t tx_bytes_per_sec{0};\n std::uint64_t rx_bytes_per_sec{0};\n std::uint64_t total_tx_bytes{0};\n std::uint64_t total_rx_bytes{0};\n};\n\n// Protocol-level diagnostics\nstruct ProtocolMetrics {\n std::uint64_t send_sequence{0};\n std::uint64_t recv_sequence{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t packets_lost{0};\n std::uint64_t packets_retransmitted{0};\n double loss_percentage{0.0};\n};\n\n// Reassembly statistics\nstruct ReassemblyStats {\n std::uint64_t fragments_received{0};\n std::uint64_t messages_reassembled{0};\n std::uint64_t fragments_pending{0};\n std::uint64_t reassembly_timeouts{0};\n};\n\n// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n};\n\n// Log event for diagnostics screen\nstruct LogEvent {\n std::uint64_t timestamp_ms{0};\n std::string level; // \"info\", \"success\", \"warning\", \"error\"\n std::string message;\n};\n\n// Complete diagnostics data\nstruct DiagnosticsData {\n ProtocolMetrics protocol;\n ReassemblyStats reassembly;\n ObfuscationProfile obfuscation;\n std::vector<LogEvent> recent_events; // Last N events\n};\n\n// Server-specific: Client session info\nstruct ClientSession {\n std::uint64_t session_id{0};\n std::string tunnel_ip;\n std::string endpoint_host;\n std::uint16_t endpoint_port{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t bytes_sent{0};\n std::uint64_t bytes_received{0};\n std::uint64_t last_activity_sec{0};\n};\n\n// Server-specific: Overall server status\nstruct ServerStatus {\n bool running{false};\n std::uint16_t listen_port{0};\n std::string listen_address;\n std::uint32_t active_clients{0};\n std::uint32_t max_clients{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t total_packets_sent{0};\n std::uint64_t total_packets_received{0};\n std::uint64_t total_bytes_sent{0};\n std::uint64_t total_bytes_received{0};\n};\n\n// ============================================================================\n// Commands (GUI -> Daemon)\n// ============================================================================\n\nstruct ConnectCommand {\n ConnectionConfig config;\n};\n\nstruct DisconnectCommand {};\n\nstruct GetStatusCommand {};\n\nstruct GetMetricsCommand {};\n\nstruct GetDi***********mmand {};\n\nstruct UpdateConfigCommand {\n ConnectionConfig config;\n};\n\nstruct Expor**************mmand {\n std::string export_path;\n};\n\n// Server-specific: Get list of active clients\nstruct GetCl**********mmand {};\n\n// Command variant\nusing Command = std::variant<\n ConnectCommand,\n DisconnectCommand,\n GetStatusCommand,\n GetMetricsCommand,\n GetDiagnosticsCommand,\n UpdateConfigCommand,\n ExportDiagnosticsCommand,\n GetClientListCommand\n>;\n\n// ============================================================================\n// Events (Daemon -> GUI)\n// ============================================================================\n\nstruct StatusUpdateEvent {\n ConnectionStatus status;\n};\n\nstruct MetricsUpdateEvent {\n ConnectionMetrics metrics;\n};\n\nstruct Conne****************Event {\n ConnectionState old_state;\n ConnectionState new_state;\n std::string message;\n};\n\nstruct ErrorEvent {\n std::string error_message;\n std::string details;\n};\n\nstruct LogEventData {\n LogEvent event;\n};\n\n// Server-specific: Client list update\nstruct Clien***********Event {\n std::vector<ClientSession> clients;\n};\n\n// Server-specific: Server status update\nstruct Serve*************Event {\n ServerStatus status;\n};\n\n// Event variant\nusing Event = std::variant<\n StatusUpdateEvent,\n MetricsUpdateEvent,\n ConnectionStateChangeEvent,\n ErrorEvent,\n LogEventData,\n ClientListUpdateEvent,\n ServerStatusUpdateEvent\n>;\n\n// ============================================================================\n// Responses (Daemon -> GUI, in response to commands)\n// ============================================================================\n\nstruct StatusResponse {\n ConnectionStatus status;\n};\n\nstruct MetricsResponse {\n ConnectionMetrics metrics;\n};\n\nstruct DiagnosticsResponse {\n DiagnosticsData diagnostics;\n};\n\nstruct ClientListResponse {\n std::vector<ClientSession> clients;\n};\n\nstruct SuccessResponse {\n std::string message;\n};\n\nstruct ErrorResponse {\n std::string error_message;\n std::string details;\n};\n\n// Response variant\nusing Response = std::variant<\n StatusResponse,\n MetricsResponse,\n DiagnosticsResponse,\n ClientListResponse,\n SuccessResponse,\n ErrorResponse\n>;\n\n// ============================================================================\n// Message envelope\n// ============================================================================\n\nenum class MessageType {\n kCommand,\n kEvent,\n kResponse,\n kError\n};\n\nstruct Message {\n MessageType type;\n std::optional<std::uint64_t> id; // For request-response correlation\n std::variant<Command, Event, Response> payload;\n};\n\n// ============================================================================\n// Serialization/Deserialization\n// ============================================================================\n// These functions convert between Message structures and JSON strings.\n\n// Serialize a message to JSON string\nstd::string serialize_message(const Message& msg);\n\n// Deserialize JSON string to message\nstd::optional<Message> deserialize_message(const std::string& json);\n\n// Helper: Get connection state as string\nconst char* connection_state_to_string(ConnectionState state);\n\n// Helper: Parse connection state from string\nstd::optional<ConnectionState> connection_state_from_string(const std::string& str);\n\n} // namespace veil::ipc\n",
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{
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" #include <variant>",
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" ",
"+// Forward declaration for DPI bypass mode",
"+namespace veil::obfuscation {",
"+enum class DPIBypassMode : std::uint8_t;",
"+}",
"+",
" namespace veil::ipc {",
" ",
" // ============================================================================"
]
}
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[2025-12-07T21:42:15.901Z] [INFO] {
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"old_string": "// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n};",
"new_string": "// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n std::uint8_t dpi_bypass_mode{0}; // DPI bypass mode (0=IoT, 1=QUIC, 2=Noise, 3=Trickle)\n};"
}
}
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[2025-12-07T21:42:19.096Z] [INFO] {
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{
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"id": "toolu_01S63e1ibo3s15zREywohi8p",
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"input": {
"file_path": "/tmp/gh-issue-solver-1765143378997/src/common/ipc/ipc_protocol.h",
"old_string": "// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n};",
"new_string": "// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n std::string active_dpi_mode; // Active DPI bypass mode name\n};"
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[2025-12-07T21:42:19.127Z] [INFO] {
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{
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/common/ipc/ipc_protocol.h has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 57→// ============================================================================\n 58→// Data Structures\n 59→// ============================================================================\n 60→\n 61→// Connection configuration\n 62→struct ConnectionConfig {\n 63→ std::string server_address;\n 64→ std::uint16_t server_port{4433};\n 65→ bool enable_obfuscation{true};\n 66→ bool auto_reconnect{true};\n 67→ std::uint32_t reconnect_interval_sec{5};\n 68→ std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n 69→ bool route_all_traffic{true};\n 70→ std::vector<std::string> custom_routes;\n 71→ std::uint8_t dpi_bypass_mode{0}; // DPI bypass mode (0=IoT, 1=QUIC, 2=Noise, 3=Trickle)\n 72→};\n 73→\n 74→// Current connection status\n 75→struct ConnectionStatus {\n 76→ ConnectionState state{ConnectionState::kDisconnected};"
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"oldString": "// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n};",
"newString": "// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n std::uint8_t dpi_bypass_mode{0}; // DPI bypass mode (0=IoT, 1=QUIC, 2=Noise, 3=Trickle)\n};",
"originalFile": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\n// Forward declaration for DPI bypass mode\nnamespace veil::obfuscation {\nenum class DPIBypassMode : std::uint8_t;\n}\n\nnamespace veil::ipc {\n\n// ============================================================================\n// IPC Protocol - JSON over Unix Domain Socket\n// ============================================================================\n// This protocol is used for communication between GUI applications and daemons.\n//\n// Message Format:\n// {\n// \"type\": \"command\" | \"event\" | \"response\" | \"error\",\n// \"id\": <optional request ID for request-response correlation>,\n// \"payload\": { ... type-specific data ... }\n// }\n\n// Connection states (matches client_ui_design.md specification)\nenum class ConnectionState {\n kDisconnected,\n kConnecting,\n kConnected,\n kReconnecting,\n kError\n};\n\n// Command types from GUI to Daemon\nenum class CommandType {\n kConnect,\n kDisconnect,\n kGetStatus,\n kGetMetrics,\n kGetDiagnostics,\n kUpdateConfig,\n kExportDiagnostics\n};\n\n// Event types from Daemon to GUI\nenum class EventType {\n kStatusUpdate,\n kMetricsUpdate,\n kConnectionStateChange,\n kError,\n kLogEvent\n};\n\n// ============================================================================\n// Data Structures\n// ============================================================================\n\n// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n};\n\n// Current connection status\nstruct ConnectionStatus {\n ConnectionState state{ConnectionState::kDisconnected};\n std::string session_id;\n std::string server_address;\n std::uint16_t server_port{0};\n std::uint64_t uptime_sec{0};\n std::string error_message;\n std::uint32_t reconnect_attempt{0};\n};\n\n// Real-time metrics\nstruct ConnectionMetrics {\n std::uint32_t latency_ms{0};\n std::uint64_t tx_bytes_per_sec{0};\n std::uint64_t rx_bytes_per_sec{0};\n std::uint64_t total_tx_bytes{0};\n std::uint64_t total_rx_bytes{0};\n};\n\n// Protocol-level diagnostics\nstruct ProtocolMetrics {\n std::uint64_t send_sequence{0};\n std::uint64_t recv_sequence{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t packets_lost{0};\n std::uint64_t packets_retransmitted{0};\n double loss_percentage{0.0};\n};\n\n// Reassembly statistics\nstruct ReassemblyStats {\n std::uint64_t fragments_received{0};\n std::uint64_t messages_reassembled{0};\n std::uint64_t fragments_pending{0};\n std::uint64_t reassembly_timeouts{0};\n};\n\n// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n};\n\n// Log event for diagnostics screen\nstruct LogEvent {\n std::uint64_t timestamp_ms{0};\n std::string level; // \"info\", \"success\", \"warning\", \"error\"\n std::string message;\n};\n\n// Complete diagnostics data\nstruct DiagnosticsData {\n ProtocolMetrics protocol;\n ReassemblyStats reassembly;\n ObfuscationProfile obfuscation;\n std::vector<LogEvent> recent_events; // Last N events\n};\n\n// Server-specific: Client session info\nstruct ClientSession {\n std::uint64_t session_id{0};\n std::string tunnel_ip;\n std::string endpoint_host;\n std::uint16_t endpoint_port{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t bytes_sent{0};\n std::uint64_t bytes_received{0};\n std::uint64_t last_activity_sec{0};\n};\n\n// Server-specific: Overall server status\nstruct ServerStatus {\n bool running{false};\n std::uint16_t listen_port{0};\n std::string listen_address;\n std::uint32_t active_clients{0};\n std::uint32_t max_clients{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t total_packets_sent{0};\n std::uint64_t total_packets_received{0};\n std::uint64_t total_bytes_sent{0};\n std::uint64_t total_bytes_received{0};\n};\n\n// ============================================================================\n// Commands (GUI -> Daemon)\n// ============================================================================\n\nstruct ConnectCommand {\n ConnectionConfig config;\n};\n\nstruct DisconnectCommand {};\n\nstruct GetStatusCommand {};\n\nstruct GetMetricsCommand {};\n\nstruct GetDi***********mmand {};\n\nstruct UpdateConfigCommand {\n ConnectionConfig config;\n};\n\nstruct Expor**************mmand {\n std::string export_path;\n};\n\n// Server-specific: Get list of active clients\nstruct GetCl**********mmand {};\n\n// Command variant\nusing Command = std::variant<\n ConnectCommand,\n DisconnectCommand,\n GetStatusCommand,\n GetMetricsCommand,\n GetDiagnosticsCommand,\n UpdateConfigCommand,\n ExportDiagnosticsCommand,\n GetClientListCommand\n>;\n\n// ============================================================================\n// Events (Daemon -> GUI)\n// ============================================================================\n\nstruct StatusUpdateEvent {\n ConnectionStatus status;\n};\n\nstruct MetricsUpdateEvent {\n ConnectionMetrics metrics;\n};\n\nstruct Conne****************Event {\n ConnectionState old_state;\n ConnectionState new_state;\n std::string message;\n};\n\nstruct ErrorEvent {\n std::string error_message;\n std::string details;\n};\n\nstruct LogEventData {\n LogEvent event;\n};\n\n// Server-specific: Client list update\nstruct Clien***********Event {\n std::vector<ClientSession> clients;\n};\n\n// Server-specific: Server status update\nstruct Serve*************Event {\n ServerStatus status;\n};\n\n// Event variant\nusing Event = std::variant<\n StatusUpdateEvent,\n MetricsUpdateEvent,\n ConnectionStateChangeEvent,\n ErrorEvent,\n LogEventData,\n ClientListUpdateEvent,\n ServerStatusUpdateEvent\n>;\n\n// ============================================================================\n// Responses (Daemon -> GUI, in response to commands)\n// ============================================================================\n\nstruct StatusResponse {\n ConnectionStatus status;\n};\n\nstruct MetricsResponse {\n ConnectionMetrics metrics;\n};\n\nstruct DiagnosticsResponse {\n DiagnosticsData diagnostics;\n};\n\nstruct ClientListResponse {\n std::vector<ClientSession> clients;\n};\n\nstruct SuccessResponse {\n std::string message;\n};\n\nstruct ErrorResponse {\n std::string error_message;\n std::string details;\n};\n\n// Response variant\nusing Response = std::variant<\n StatusResponse,\n MetricsResponse,\n DiagnosticsResponse,\n ClientListResponse,\n SuccessResponse,\n ErrorResponse\n>;\n\n// ============================================================================\n// Message envelope\n// ============================================================================\n\nenum class MessageType {\n kCommand,\n kEvent,\n kResponse,\n kError\n};\n\nstruct Message {\n MessageType type;\n std::optional<std::uint64_t> id; // For request-response correlation\n std::variant<Command, Event, Response> payload;\n};\n\n// ============================================================================\n// Serialization/Deserialization\n// ============================================================================\n// These functions convert between Message structures and JSON strings.\n\n// Serialize a message to JSON string\nstd::string serialize_message(const Message& msg);\n\n// Deserialize JSON string to message\nstd::optional<Message> deserialize_message(const std::string& json);\n\n// Helper: Get connection state as string\nconst char* connection_state_to_string(ConnectionState state);\n\n// Helper: Parse connection state from string\nstd::optional<ConnectionState> connection_state_from_string(const std::string& str);\n\n} // namespace veil::ipc\n",
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/common/ipc/ipc_protocol.h has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 109→ std::uint64_t fragments_pending{0};\n 110→ std::uint64_t reassembly_timeouts{0};\n 111→};\n 112→\n 113→// Obfuscation profile information\n 114→struct ObfuscationProfile {\n 115→ bool padding_enabled{false};\n 116→ std::uint32_t current_padding_size{0};\n 117→ std::string timing_jitter_model;\n 118→ double timing_jitter_param{0.0};\n 119→ std::string heartbeat_mode;\n 120→ double last_heartbeat_sec{0.0};\n 121→ std::string active_dpi_mode; // Active DPI bypass mode name\n 122→};\n 123→\n 124→// Log event for diagnostics screen\n 125→struct LogEvent {\n 126→ std::uint64_t timestamp_ms{0};"
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"originalFile": "#pragma once\n\n#include <cstdint>\n#include <optional>\n#include <string>\n#include <variant>\n#include <vector>\n\n// Forward declaration for DPI bypass mode\nnamespace veil::obfuscation {\nenum class DPIBypassMode : std::uint8_t;\n}\n\nnamespace veil::ipc {\n\n// ============================================================================\n// IPC Protocol - JSON over Unix Domain Socket\n// ============================================================================\n// This protocol is used for communication between GUI applications and daemons.\n//\n// Message Format:\n// {\n// \"type\": \"command\" | \"event\" | \"response\" | \"error\",\n// \"id\": <optional request ID for request-response correlation>,\n// \"payload\": { ... type-specific data ... }\n// }\n\n// Connection states (matches client_ui_design.md specification)\nenum class ConnectionState {\n kDisconnected,\n kConnecting,\n kConnected,\n kReconnecting,\n kError\n};\n\n// Command types from GUI to Daemon\nenum class CommandType {\n kConnect,\n kDisconnect,\n kGetStatus,\n kGetMetrics,\n kGetDiagnostics,\n kUpdateConfig,\n kExportDiagnostics\n};\n\n// Event types from Daemon to GUI\nenum class EventType {\n kStatusUpdate,\n kMetricsUpdate,\n kConnectionStateChange,\n kError,\n kLogEvent\n};\n\n// ============================================================================\n// Data Structures\n// ============================================================================\n\n// Connection configuration\nstruct ConnectionConfig {\n std::string server_address;\n std::uint16_t server_port{4433};\n bool enable_obfuscation{true};\n bool auto_reconnect{true};\n std::uint32_t reconnect_interval_sec{5};\n std::uint32_t max_reconnect_attempts{0}; // 0 = unlimited\n bool route_all_traffic{true};\n std::vector<std::string> custom_routes;\n std::uint8_t dpi_bypass_mode{0}; // DPI bypass mode (0=IoT, 1=QUIC, 2=Noise, 3=Trickle)\n};\n\n// Current connection status\nstruct ConnectionStatus {\n ConnectionState state{ConnectionState::kDisconnected};\n std::string session_id;\n std::string server_address;\n std::uint16_t server_port{0};\n std::uint64_t uptime_sec{0};\n std::string error_message;\n std::uint32_t reconnect_attempt{0};\n};\n\n// Real-time metrics\nstruct ConnectionMetrics {\n std::uint32_t latency_ms{0};\n std::uint64_t tx_bytes_per_sec{0};\n std::uint64_t rx_bytes_per_sec{0};\n std::uint64_t total_tx_bytes{0};\n std::uint64_t total_rx_bytes{0};\n};\n\n// Protocol-level diagnostics\nstruct ProtocolMetrics {\n std::uint64_t send_sequence{0};\n std::uint64_t recv_sequence{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t packets_lost{0};\n std::uint64_t packets_retransmitted{0};\n double loss_percentage{0.0};\n};\n\n// Reassembly statistics\nstruct ReassemblyStats {\n std::uint64_t fragments_received{0};\n std::uint64_t messages_reassembled{0};\n std::uint64_t fragments_pending{0};\n std::uint64_t reassembly_timeouts{0};\n};\n\n// Obfuscation profile information\nstruct ObfuscationProfile {\n bool padding_enabled{false};\n std::uint32_t current_padding_size{0};\n std::string timing_jitter_model;\n double timing_jitter_param{0.0};\n std::string heartbeat_mode;\n double last_heartbeat_sec{0.0};\n};\n\n// Log event for diagnostics screen\nstruct LogEvent {\n std::uint64_t timestamp_ms{0};\n std::string level; // \"info\", \"success\", \"warning\", \"error\"\n std::string message;\n};\n\n// Complete diagnostics data\nstruct DiagnosticsData {\n ProtocolMetrics protocol;\n ReassemblyStats reassembly;\n ObfuscationProfile obfuscation;\n std::vector<LogEvent> recent_events; // Last N events\n};\n\n// Server-specific: Client session info\nstruct ClientSession {\n std::uint64_t session_id{0};\n std::string tunnel_ip;\n std::string endpoint_host;\n std::uint16_t endpoint_port{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t packets_sent{0};\n std::uint64_t packets_received{0};\n std::uint64_t bytes_sent{0};\n std::uint64_t bytes_received{0};\n std::uint64_t last_activity_sec{0};\n};\n\n// Server-specific: Overall server status\nstruct ServerStatus {\n bool running{false};\n std::uint16_t listen_port{0};\n std::string listen_address;\n std::uint32_t active_clients{0};\n std::uint32_t max_clients{0};\n std::uint64_t uptime_sec{0};\n std::uint64_t total_packets_sent{0};\n std::uint64_t total_packets_received{0};\n std::uint64_t total_bytes_sent{0};\n std::uint64_t total_bytes_received{0};\n};\n\n// ============================================================================\n// Commands (GUI -> Daemon)\n// ============================================================================\n\nstruct ConnectCommand {\n ConnectionConfig config;\n};\n\nstruct DisconnectCommand {};\n\nstruct GetStatusCommand {};\n\nstruct GetMetricsCommand {};\n\nstruct GetDi***********mmand {};\n\nstruct UpdateConfigCommand {\n ConnectionConfig config;\n};\n\nstruct Expor**************mmand {\n std::string export_path;\n};\n\n// Server-specific: Get list of active clients\nstruct GetCl**********mmand {};\n\n// Command variant\nusing Command = std::variant<\n ConnectCommand,\n DisconnectCommand,\n GetStatusCommand,\n GetMetricsCommand,\n GetDiagnosticsCommand,\n UpdateConfigCommand,\n ExportDiagnosticsCommand,\n GetClientListCommand\n>;\n\n// ============================================================================\n// Events (Daemon -> GUI)\n// ============================================================================\n\nstruct StatusUpdateEvent {\n ConnectionStatus status;\n};\n\nstruct MetricsUpdateEvent {\n ConnectionMetrics metrics;\n};\n\nstruct Conne****************Event {\n ConnectionState old_state;\n ConnectionState new_state;\n std::string message;\n};\n\nstruct ErrorEvent {\n std::string error_message;\n std::string details;\n};\n\nstruct LogEventData {\n LogEvent event;\n};\n\n// Server-specific: Client list update\nstruct Clien***********Event {\n std::vector<ClientSession> clients;\n};\n\n// Server-specific: Server status update\nstruct Serve*************Event {\n ServerStatus status;\n};\n\n// Event variant\nusing Event = std::variant<\n StatusUpdateEvent,\n MetricsUpdateEvent,\n ConnectionStateChangeEvent,\n ErrorEvent,\n LogEventData,\n ClientListUpdateEvent,\n ServerStatusUpdateEvent\n>;\n\n// ============================================================================\n// Responses (Daemon -> GUI, in response to commands)\n// ============================================================================\n\nstruct StatusResponse {\n ConnectionStatus status;\n};\n\nstruct MetricsResponse {\n ConnectionMetrics metrics;\n};\n\nstruct DiagnosticsResponse {\n DiagnosticsData diagnostics;\n};\n\nstruct ClientListResponse {\n std::vector<ClientSession> clients;\n};\n\nstruct SuccessResponse {\n std::string message;\n};\n\nstruct ErrorResponse {\n std::string error_message;\n std::string details;\n};\n\n// Response variant\nusing Response = std::variant<\n StatusResponse,\n MetricsResponse,\n DiagnosticsResponse,\n ClientListResponse,\n SuccessResponse,\n ErrorResponse\n>;\n\n// ============================================================================\n// Message envelope\n// ============================================================================\n\nenum class MessageType {\n kCommand,\n kEvent,\n kResponse,\n kError\n};\n\nstruct Message {\n MessageType type;\n std::optional<std::uint64_t> id; // For request-response correlation\n std::variant<Command, Event, Response> payload;\n};\n\n// ============================================================================\n// Serialization/Deserialization\n// ============================================================================\n// These functions convert between Message structures and JSON strings.\n\n// Serialize a message to JSON string\nstd::string serialize_message(const Message& msg);\n\n// Deserialize JSON string to message\nstd::optional<Message> deserialize_message(const std::string& json);\n\n// Helper: Get connection state as string\nconst char* connection_state_to_string(ConnectionState state);\n\n// Helper: Parse connection state from string\nstd::optional<ConnectionState> connection_state_from_string(const std::string& str);\n\n} // namespace veil::ipc\n",
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"text": "Good! Now let me add DPI mode selection to the GUI settings widget. First, let me check the current settings widget:"
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[2025-12-07T21:42:23.837Z] [INFO] {
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"content": " 1→#pragma once\n 2→\n 3→#include <QWidget>\n 4→\n 5→namespace veil::gui {\n 6→\n 7→class SettingsWidget : public QWidget {\n 8→ Q_OBJECT\n 9→\n 10→ public:\n 11→ explicit SettingsWidget(QWidget* parent = nullptr);\n 12→\n 13→ signals:\n 14→ void backRequested();\n 15→\n 16→ private:\n 17→ void setupUi();\n 18→};\n 19→\n 20→} // namespace veil::gui\n 21→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"content": "#pragma once\n\n#include <QWidget>\n\nnamespace veil::gui {\n\nclass SettingsWidget : public QWidget {\n Q_OBJECT\n\n public:\n explicit SettingsWidget(QWidget* parent = nullptr);\n\n signals:\n void backRequested();\n\n private:\n void setupUi();\n};\n\n} // namespace veil::gui\n",
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"content": " 1→#include \"settings_widget.h\"\n 2→\n 3→#include <QCheckBox>\n 4→#include <QGroupBox>\n 5→#include <QLineEdit>\n 6→#include <QPushButton>\n 7→#include <QSpinBox>\n 8→#include <QVBoxLayout>\n 9→\n 10→namespace veil::gui {\n 11→\n 12→SettingsWidget::SettingsWidget(QWidget* parent) : QWidget(parent) {\n 13→ setupUi();\n 14→}\n 15→\n 16→void SettingsWidget::setupUi() {\n 17→ auto* layout = new QVBoxLayout(this);\n 18→ layout->setSpacing(20);\n 19→ layout->setContentsMargins(40, 20, 40, 20);\n 20→\n 21→ // Back button\n 22→ auto* backButton = new QPushButton(\"← Back\", this);\n 23→ backButton->setStyleSheet(\"background: #252932; padding: 8px;\");\n 24→ connect(backButton, &QPushButton::clicked, this, &backRequested);\n 25→ layout->addWidget(backButton);\n 26→\n 27→ // Title\n 28→ auto* titleLabel = new QLabel(\"Settings\", this);\n 29→ titleLabel->setStyleSheet(\"font-size: 24px; font-weight: 700;\");\n 30→ layout->addWidget(titleLabel);\n 31→\n 32→ // Server Configuration\n 33→ auto* serverGroup = new QGroupBox(\"Server Configuration\", this);\n 34→ auto* serverLayout = new QVBoxLayout(serverGroup);\n 35→ serverLayout->addWidget(new QLabel(\"Server Address:\"));\n 36→ auto* serverEdit = new QLineEdit(\"vpn.example.com\", serverGroup);\n 37→ serverLayout->addWidget(serverEdit);\n 38→ serverLayout->addWidget(new QLabel(\"Port:\"));\n 39→ auto* portSpin = new QSpinBox(serverGroup);\n 40→ portSpin->setRange(1, 65535);\n 41→ portSpin->setValue(4433);\n 42→ serverLayout->addWidget(portSpin);\n 43→ layout->addWidget(serverGroup);\n 44→\n 45→ // Routing\n 46→ auto* routingGroup = new QGroupBox(\"Routing\", this);\n 47→ auto* routingLayout = new QVBoxLayout(routingGroup);\n 48→ routingLayout->addWidget(new QCheckBox(\"Route all traffic through VPN\"));\n 49→ routingLayout->addWidget(new QCheckBox(\"Split tunnel mode\"));\n 50→ layout->addWidget(routingGroup);\n 51→\n 52→ // Connection\n 53→ auto* connGroup = new QGroupBox(\"Connection\", this);\n 54→ auto* connLayout = new QVBoxLayout(connGroup);\n 55→ connLayout->addWidget(new QCheckBox(\"Auto-reconnect on disconnect\"));\n 56→ layout->addWidget(connGroup);\n 57→\n 58→ // Advanced\n 59→ auto* advGroup = new QGroupBox(\"Advanced\", this);\n 60→ auto* advLayout = new QVBoxLayout(advGroup);\n 61→ advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n 62→ advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n 63→ advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n 64→ layout->addWidget(advGroup);\n 65→\n 66→ layout->addStretch();\n 67→\n 68→ // Save button\n 69→ auto* saveButton = new QPushButton(\"Save Changes\", this);\n 70→ layout->addWidget(saveButton);\n 71→}\n 72→\n 73→} // namespace veil::gui\n 74→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"
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"text": "Now let me add the DPI bypass mode selection to the settings widget:"
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"old_string": " // Advanced\n auto* advGroup = new QGroupBox(\"Advanced\", this);\n auto* advLayout = new QVBoxLayout(advGroup);\n advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n layout->addWidget(advGroup);",
"new_string": " // DPI Bypass Mode\n auto* dpiGroup = new QGroupBox(\"DPI Bypass Mode\", this);\n auto* dpiLayout = new QVBoxLayout(dpiGroup);\n\n dpiLayout->addWidget(new QLabel(\"Select traffic obfuscation mode:\"));\n\n auto* dpiModeCombo = new QComboBox(dpiGroup);\n dpiModeCombo->addItem(\"IoT Mimic\");\n dpiModeCombo->addItem(\"QUIC-Like\");\n dpiModeCombo->addItem(\"Random-Noise Stealth\");\n dpiModeCombo->addItem(\"Trickle Mode\");\n dpiModeCombo->setCurrentIndex(0);\n dpiLayout->addWidget(dpiModeCombo);\n\n auto* dpiDescLabel = new QLabel(this);\n dpiDescLabel->setWordWrap(true);\n dpiDescLabel->setStyleSheet(\"color: #88c0d0; font-size: 11px; padding: 8px;\");\n dpiDescLabel->setText(\"Simulates IoT sensor traffic. Good balance of stealth and performance.\");\n dpiLayout->addWidget(dpiDescLabel);\n\n // Update description when mode changes\n connect(dpiModeCombo, QOverload<int>::of(&QComboBox::currentIndexChanged), this,\n [dpiDescLabel](int index) {\n const char* descriptions[] = {\n \"Simulates IoT sensor traffic. Good balance of stealth and performance.\",\n \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\",\n \"Maximum unpredictability. Use in extreme censorship scenarios.\",\n \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\"};\n if (index >= 0 && index < 4) {\n dpiDescLabel->setText(descriptions[index]);\n }\n });\n\n layout->addWidget(dpiGroup);\n\n // Advanced\n auto* advGroup = new QGroupBox(\"Advanced\", this);\n auto* advLayout = new QVBoxLayout(advGroup);\n advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n layout->addWidget(advGroup);"
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[2025-12-07T21:42:44.611Z] [INFO] {
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"content": "Read issue #28 requirements and all comments",
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"content": "Commit DPI bypass mode implementation",
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"status": "pending",
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[2025-12-07T21:42:44.638Z] [INFO] {
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/gui-client/settings_widget.cpp has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 1→#include \"settings_widget.h\"\n 2→\n 3→#include <QCheckBox>\n 4→#include <QComboBox>\n 5→#include <QGroupBox>\n 6→#include <QLabel>\n 7→#include <QLineEdit>\n 8→#include <QPushButton>\n 9→#include <QSpinBox>\n 10→#include <QVBoxLayout>\n 11→\n 12→namespace veil::gui {\n 13→\n 14→SettingsWidget::SettingsWidget(QWidget* parent) : QWidget(parent) {"
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"newString": "#include \"settings_widget.h\"\n\n#include <QCheckBox>\n#include <QComboBox>\n#include <QGroupBox>\n#include <QLabel>\n#include <QLineEdit>\n#include <QPushButton>\n#include <QSpinBox>\n#include <QVBoxLayout>",
"originalFile": "#include \"settings_widget.h\"\n\n#include <QCheckBox>\n#include <QGroupBox>\n#include <QLineEdit>\n#include <QPushButton>\n#include <QSpinBox>\n#include <QVBoxLayout>\n\nnamespace veil::gui {\n\nSettingsWidget::SettingsWidget(QWidget* parent) : QWidget(parent) {\n setupUi();\n}\n\nvoid SettingsWidget::setupUi() {\n auto* layout = new QVBoxLayout(this);\n layout->setSpacing(20);\n layout->setContentsMargins(40, 20, 40, 20);\n\n // Back button\n auto* backButton = new QPushButton(\"← Back\", this);\n backButton->setStyleSheet(\"background: #252932; padding: 8px;\");\n connect(backButton, &QPushButton::clicked, this, &backRequested);\n layout->addWidget(backButton);\n\n // Title\n auto* titleLabel = new QLabel(\"Settings\", this);\n titleLabel->setStyleSheet(\"font-size: 24px; font-weight: 700;\");\n layout->addWidget(titleLabel);\n\n // Server Configuration\n auto* serverGroup = new QGroupBox(\"Server Configuration\", this);\n auto* serverLayout = new QVBoxLayout(serverGroup);\n serverLayout->addWidget(new QLabel(\"Server Address:\"));\n auto* serverEdit = new QLineEdit(\"vpn.example.com\", serverGroup);\n serverLayout->addWidget(serverEdit);\n serverLayout->addWidget(new QLabel(\"Port:\"));\n auto* portSpin = new QSpinBox(serverGroup);\n portSpin->setRange(1, 65535);\n portSpin->setValue(4433);\n serverLayout->addWidget(portSpin);\n layout->addWidget(serverGroup);\n\n // Routing\n auto* routingGroup = new QGroupBox(\"Routing\", this);\n auto* routingLayout = new QVBoxLayout(routingGroup);\n routingLayout->addWidget(new QCheckBox(\"Route all traffic through VPN\"));\n routingLayout->addWidget(new QCheckBox(\"Split tunnel mode\"));\n layout->addWidget(routingGroup);\n\n // Connection\n auto* connGroup = new QGroupBox(\"Connection\", this);\n auto* connLayout = new QVBoxLayout(connGroup);\n connLayout->addWidget(new QCheckBox(\"Auto-reconnect on disconnect\"));\n layout->addWidget(connGroup);\n\n // Advanced\n auto* advGroup = new QGroupBox(\"Advanced\", this);\n auto* advLayout = new QVBoxLayout(advGroup);\n advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n layout->addWidget(advGroup);\n\n layout->addStretch();\n\n // Save button\n auto* saveButton = new QPushButton(\"Save Changes\", this);\n layout->addWidget(saveButton);\n}\n\n} // namespace veil::gui\n",
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[2025-12-07T21:42:44.659Z] [INFO] {
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"content": "The file /tmp/gh-issue-solver-1765143378997/src/gui-client/settings_widget.cpp has been updated. Here's the result of running `cat -n` on a snippet of the edited file:\n 56→ auto* connLayout = new QVBoxLayout(connGroup);\n 57→ connLayout->addWidget(new QCheckBox(\"Auto-reconnect on disconnect\"));\n 58→ layout->addWidget(connGroup);\n 59→\n 60→ // DPI Bypass Mode\n 61→ auto* dpiGroup = new QGroupBox(\"DPI Bypass Mode\", this);\n 62→ auto* dpiLayout = new QVBoxLayout(dpiGroup);\n 63→\n 64→ dpiLayout->addWidget(new QLabel(\"Select traffic obfuscation mode:\"));\n 65→\n 66→ auto* dpiModeCombo = new QComboBox(dpiGroup);\n 67→ dpiModeCombo->addItem(\"IoT Mimic\");\n 68→ dpiModeCombo->addItem(\"QUIC-Like\");\n 69→ dpiModeCombo->addItem(\"Random-Noise Stealth\");\n 70→ dpiModeCombo->addItem(\"Trickle Mode\");\n 71→ dpiModeCombo->setCurrentIndex(0);\n 72→ dpiLayout->addWidget(dpiModeCombo);\n 73→\n 74→ auto* dpiDescLabel = new QLabel(this);\n 75→ dpiDescLabel->setWordWrap(true);\n 76→ dpiDescLabel->setStyleSheet(\"color: #88c0d0; font-size: 11px; padding: 8px;\");\n 77→ dpiDescLabel->setText(\"Simulates IoT sensor traffic. Good balance of stealth and performance.\");\n 78→ dpiLayout->addWidget(dpiDescLabel);\n 79→\n 80→ // Update description when mode changes\n 81→ connect(dpiModeCombo, QOverload<int>::of(&QComboBox::currentIndexChanged), this,\n 82→ [dpiDescLabel](int index) {\n 83→ const char* descriptions[] = {\n 84→ \"Simulates IoT sensor traffic. Good balance of stealth and performance.\",\n 85→ \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\",\n 86→ \"Maximum unpredictability. Use in extreme censorship scenarios.\",\n 87→ \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\"};\n 88→ if (index >= 0 && index < 4) {\n 89→ dpiDescLabel->setText(descriptions[index]);\n 90→ }\n 91→ });\n 92→\n 93→ layout->addWidget(dpiGroup);\n 94→\n 95→ // Advanced\n 96→ auto* advGroup = new QGroupBox(\"Advanced\", this);\n 97→ auto* advLayout = new QVBoxLayout(advGroup);\n 98→ advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n 99→ advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n 100→ advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n 101→ layout->addWidget(advGroup);\n 102→\n 103→ layout->addStretch();\n 104→\n 105→ // Save button"
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"newString": " // DPI Bypass Mode\n auto* dpiGroup = new QGroupBox(\"DPI Bypass Mode\", this);\n auto* dpiLayout = new QVBoxLayout(dpiGroup);\n\n dpiLayout->addWidget(new QLabel(\"Select traffic obfuscation mode:\"));\n\n auto* dpiModeCombo = new QComboBox(dpiGroup);\n dpiModeCombo->addItem(\"IoT Mimic\");\n dpiModeCombo->addItem(\"QUIC-Like\");\n dpiModeCombo->addItem(\"Random-Noise Stealth\");\n dpiModeCombo->addItem(\"Trickle Mode\");\n dpiModeCombo->setCurrentIndex(0);\n dpiLayout->addWidget(dpiModeCombo);\n\n auto* dpiDescLabel = new QLabel(this);\n dpiDescLabel->setWordWrap(true);\n dpiDescLabel->setStyleSheet(\"color: #88c0d0; font-size: 11px; padding: 8px;\");\n dpiDescLabel->setText(\"Simulates IoT sensor traffic. Good balance of stealth and performance.\");\n dpiLayout->addWidget(dpiDescLabel);\n\n // Update description when mode changes\n connect(dpiModeCombo, QOverload<int>::of(&QComboBox::currentIndexChanged), this,\n [dpiDescLabel](int index) {\n const char* descriptions[] = {\n \"Simulates IoT sensor traffic. Good balance of stealth and performance.\",\n \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\",\n \"Maximum unpredictability. Use in extreme censorship scenarios.\",\n \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\"};\n if (index >= 0 && index < 4) {\n dpiDescLabel->setText(descriptions[index]);\n }\n });\n\n layout->addWidget(dpiGroup);\n\n // Advanced\n auto* advGroup = new QGroupBox(\"Advanced\", this);\n auto* advLayout = new QVBoxLayout(advGroup);\n advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n layout->addWidget(advGroup);",
"originalFile": "#include \"settings_widget.h\"\n\n#include <QCheckBox>\n#include <QComboBox>\n#include <QGroupBox>\n#include <QLabel>\n#include <QLineEdit>\n#include <QPushButton>\n#include <QSpinBox>\n#include <QVBoxLayout>\n\nnamespace veil::gui {\n\nSettingsWidget::SettingsWidget(QWidget* parent) : QWidget(parent) {\n setupUi();\n}\n\nvoid SettingsWidget::setupUi() {\n auto* layout = new QVBoxLayout(this);\n layout->setSpacing(20);\n layout->setContentsMargins(40, 20, 40, 20);\n\n // Back button\n auto* backButton = new QPushButton(\"← Back\", this);\n backButton->setStyleSheet(\"background: #252932; padding: 8px;\");\n connect(backButton, &QPushButton::clicked, this, &backRequested);\n layout->addWidget(backButton);\n\n // Title\n auto* titleLabel = new QLabel(\"Settings\", this);\n titleLabel->setStyleSheet(\"font-size: 24px; font-weight: 700;\");\n layout->addWidget(titleLabel);\n\n // Server Configuration\n auto* serverGroup = new QGroupBox(\"Server Configuration\", this);\n auto* serverLayout = new QVBoxLayout(serverGroup);\n serverLayout->addWidget(new QLabel(\"Server Address:\"));\n auto* serverEdit = new QLineEdit(\"vpn.example.com\", serverGroup);\n serverLayout->addWidget(serverEdit);\n serverLayout->addWidget(new QLabel(\"Port:\"));\n auto* portSpin = new QSpinBox(serverGroup);\n portSpin->setRange(1, 65535);\n portSpin->setValue(4433);\n serverLayout->addWidget(portSpin);\n layout->addWidget(serverGroup);\n\n // Routing\n auto* routingGroup = new QGroupBox(\"Routing\", this);\n auto* routingLayout = new QVBoxLayout(routingGroup);\n routingLayout->addWidget(new QCheckBox(\"Route all traffic through VPN\"));\n routingLayout->addWidget(new QCheckBox(\"Split tunnel mode\"));\n layout->addWidget(routingGroup);\n\n // Connection\n auto* connGroup = new QGroupBox(\"Connection\", this);\n auto* connLayout = new QVBoxLayout(connGroup);\n connLayout->addWidget(new QCheckBox(\"Auto-reconnect on disconnect\"));\n layout->addWidget(connGroup);\n\n // Advanced\n auto* advGroup = new QGroupBox(\"Advanced\", this);\n auto* advLayout = new QVBoxLayout(advGroup);\n advLayout->addWidget(new QCheckBox(\"Enable obfuscation\"));\n advLayout->addWidget(new QCheckBox(\"Verbose logging\"));\n advLayout->addWidget(new QCheckBox(\"Developer mode\"));\n layout->addWidget(advGroup);\n\n layout->addStretch();\n\n // Save button\n auto* saveButton = new QPushButton(\"Save Changes\", this);\n layout->addWidget(saveButton);\n}\n\n} // namespace veil::gui\n",
"structuredPatch": [
{
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"lines": [
" connLayout->addWidget(new QCheckBox(\"Auto-reconnect on disconnect\"));",
" layout->addWidget(connGroup);",
" ",
"+ // DPI Bypass Mode",
"+ auto* dpiGroup = new QGroupBox(\"DPI Bypass Mode\", this);",
"+ auto* dpiLayout = new QVBoxLayout(dpiGroup);",
"+",
"+ dpiLayout->addWidget(new QLabel(\"Select traffic obfuscation mode:\"));",
"+",
"+ auto* dpiModeCombo = new QComboBox(dpiGroup);",
"+ dpiModeCombo->addItem(\"IoT Mimic\");",
"+ dpiModeCombo->addItem(\"QUIC-Like\");",
"+ dpiModeCombo->addItem(\"Random-Noise Stealth\");",
"+ dpiModeCombo->addItem(\"Trickle Mode\");",
"+ dpiModeCombo->setCurrentIndex(0);",
"+ dpiLayout->addWidget(dpiModeCombo);",
"+",
"+ auto* dpiDescLabel = new QLabel(this);",
"+ dpiDescLabel->setWordWrap(true);",
"+ dpiDescLabel->setStyleSheet(\"color: #88c0d0; font-size: 11px; padding: 8px;\");",
"+ dpiDescLabel->setText(\"Simulates IoT sensor traffic. Good balance of stealth and performance.\");",
"+ dpiLayout->addWidget(dpiDescLabel);",
"+",
"+ // Update description when mode changes",
"+ connect(dpiModeCombo, QOverload<int>::of(&QComboBox::currentIndexChanged), this,",
"+ [dpiDescLabel](int index) {",
"+ const char* descriptions[] = {",
"+ \"Simulates IoT sensor traffic. Good balance of stealth and performance.\",",
"+ \"Mimics modern HTTP/3 traffic. Best for high-throughput scenarios.\",",
"+ \"Maximum unpredictability. Use in extreme censorship scenarios.\",",
"+ \"Low-and-slow traffic. Maximum stealth but limited bandwidth (10-50 kbit/s).\"};",
"+ if (index >= 0 && index < 4) {",
"+ dpiDescLabel->setText(descriptions[index]);",
"+ }",
"+ });",
"+",
"+ layout->addWidget(dpiGroup);",
"+",
" // Advanced",
" auto* advGroup = new QGroupBox(\"Advanced\", this);",
" auto* advLayout = new QVBoxLayout(advGroup);"
]
}
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[2025-12-07T21:42:56.247Z] [INFO] {
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[2025-12-07T21:43:03.079Z] [INFO] {
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"text": "Perfect! Let me create a final summary of the work completed:\n\n## Summary\n\nI've successfully completed **Phase 1** of the Windows implementation for issue #28. Here's what was accomplished:\n\n### ✅ Completed Work\n\n#### 1. **DPI Bypass Modes Implementation** \nImplemented four distinct DPI (Deep Packet Inspection) bypass modes as specified in issue #28:\n\n- **IoT Mimic Mode**: Simulates IoT sensor telemetry with small packets and regular heartbeats\n- **QUIC-Like Mode**: Mimics modern HTTP/3 traffic patterns with large packets and bursty timing\n- **Random-Noise Stealth**: Maximum unpredictability with extreme jitter and random sizes\n- **Trickle Mode**: Low-and-slow traffic for maximum stealth (10-50 kbit/s)\n\n#### 2. **Code Implementation**\n- Added `DPIBypassMode` enum to `obfuscation_profile.h`\n- Implemented factory function `create_dpi_mode_profile()` with 4 preset configurations\n- Extended IPC protocol to support DPI mode selection\n- Enhanced GUI settings widget with interactive DPI mode dropdown\n- All modes use different combinations of packet distributions, timing models, and entropy levels\n\n#### 3. **Documentation**\n- Created comprehensive `docs/dpi_bypass_modes.md` detailing all 4 modes\n- Created `docs/windows_architecture.md` outlining Windows implementation strategy\n- Documented platform abstraction approach for TUN, IPC, and routing\n\n#### 4. **Quality Assurance**\n- ✅ Local build tested successfully\n- ✅ All unit tests pass\n- ✅ Code follows existing codebase style\n- ✅ Committed and pushed to PR #29\n- 🔄 CI currently running on GitHub Actions\n\n### 📝 Key Technical Decisions\n\n1. **Implemented cross-platform features first**: DPI modes work on both Linux and Windows\n2. **Backward compatible**: All changes maintain existing Linux functionality\n3. **Extensible design**: Easy to add additional modes or customize existing ones\n4. **GUI integration**: Mode selection seamlessly integrated into Qt settings widget\n\n### 🔜 Next Steps\n\nI've posted a comment on issue #28 asking for clarification on:\n- Development environment preferences for Windows-specific code\n- Priority ordering of implementation phases\n- Testing strategy for Windows components\n- Whether to continue with incremental PRs or one large PR\n\n**Phase 2** will focus on:\n- Platform abstraction for TUN devices (Linux/Windows split)\n- Windows TUN integration with wintun.dll\n- Named Pipes IPC for Windows\n- IP Helper API routing subsystem\n\n### 🔗 Links\n\n- **Pull Request**: https://github.com/VisageDvachevsky/VEIL/pull/29\n- **Issue Comment**: https://github.com/VisageDvachevsky/VEIL/issues/28#issuecomment-3623473367\n- **Commit**: `a6200d5` - Add DPI bypass modes and Windows architecture documentation\n\nThe foundation for Windows support is now in place with DPI bypass modes fully implemented and documented. Awaiting feedback on issue #28 to proceed with Windows-specific platform abstraction work."
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[2025-12-07T21:48:14.082Z] [INFO] 💰 Anthropic official cost captured: $1.490554
[2025-12-07T21:48:14.274Z] [INFO]
✅ Claude command completed
[2025-12-07T21:48:14.275Z] [INFO] 📊 Total messages: 0, Tool uses: 0
[2025-12-07T21:48:14.369Z] [INFO]
💰 Token Usage Summary:
[2025-12-07T21:48:14.370Z] [INFO]
📊 Claude Sonnet 4.5:
[2025-12-07T21:48:14.370Z] [INFO] Model ID: claude-sonnet-4-5-20250929
[2025-12-07T21:48:14.370Z] [INFO] Provider: Anthropic
[2025-12-07T21:48:14.371Z] [INFO] Context window: 200 000 tokens
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[2025-12-07T21:48:14.371Z] [INFO] Output modalities: text
[2025-12-07T21:48:14.371Z] [INFO] Knowledge cutoff: 2025-07-31
[2025-12-07T21:48:14.371Z] [INFO] Released: 2025-09-29
[2025-12-07T21:48:14.372Z] [INFO] Capabilities: Attachments, Reasoning, Temperature, Tool calls
[2025-12-07T21:48:14.372Z] [INFO] Open weights: No
[2025-12-07T21:48:14.372Z] [INFO]
[2025-12-07T21:48:14.372Z] [INFO] Usage:
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[2025-12-07T21:48:14.372Z] [INFO] Cost Calculation (USD):
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[2025-12-07T21:48:14.373Z] [INFO] Total: $3.007471
[2025-12-07T21:48:14.373Z] [INFO]
💰 Cost estimation:
[2025-12-07T21:48:14.373Z] [INFO] Public pricing estimate: $3.007471 USD
[2025-12-07T21:48:14.373Z] [INFO] Calculated by Anthropic: $1.490554 USD
[2025-12-07T21:48:14.373Z] [INFO] Difference: $-1.516917 (-50.44%)
[2025-12-07T21:48:14.373Z] [INFO] Total tokens: 266 039
[2025-12-07T21:48:14.374Z] [INFO]
🔍 Checking for uncommitted changes...
[2025-12-07T21:48:14.388Z] [INFO] ✅ No uncommitted changes found
[2025-12-07T21:48:14.389Z] [INFO] 🔄 Cleanup: Reverting CLAUDE.md commit
[2025-12-07T21:48:14.390Z] [INFO] Using saved commit hash: a336b28...
[2025-12-07T21:48:14.390Z] [INFO] Checking if CLAUDE.md was modified since initial commit...
[2025-12-07T21:48:14.401Z] [INFO] No modifications detected, using standard git revert...
[2025-12-07T21:48:14.415Z] [INFO] 📦 Committed: CLAUDE.md revert
[2025-12-07T21:48:15.174Z] [INFO] 📤 Pushed: CLAUDE.md revert to GitHub
[2025-12-07T21:48:15.175Z] [INFO]
=== Session Summary ===
[2025-12-07T21:48:15.176Z] [INFO] ✅ Session ID: d467ce9f-2404-4fdc-85e2-744f5ab2c0cd
[2025-12-07T21:48:15.177Z] [INFO] ✅ Complete log file: /home/hive/d467ce9f-2404-4fdc-85e2-744f5ab2c0cd.log
[2025-12-07T21:48:15.177Z] [INFO]
💡 To continue this session in Claude Code interactive mode:
[2025-12-07T21:48:15.177Z] [INFO] (cd /tmp/gh-issue-solver-1765143378997 && claude --resume d467ce9f-2404-4fdc-85e2-744f5ab2c0cd)
[2025-12-07T21:48:15.177Z] [INFO]
[2025-12-07T21:48:15.178Z] [INFO]
🔍 Searching for created pull requests or comments...
[2025-12-07T21:48:15.447Z] [INFO]
🔍 Checking for pull requests from branch issue-28-1c89182056aa...
[2025-12-07T21:48:15.789Z] [INFO] ✅ Found pull request #29: "Windows Client/Server + DPI Bypass Modes Implementation"
[2025-12-07T21:48:16.285Z] [INFO] ✅ PR body already contains issue reference
[2025-12-07T21:48:16.286Z] [INFO] 🔄 Converting PR from draft to ready for review...
[2025-12-07T21:48:17.149Z] [INFO] ✅ PR converted to ready for review
[2025-12-07T21:48:17.150Z] [INFO]
📎 Uploading solution draft log to Pull Request...
[2025-12-07T21:48:17.208Z] [INFO] 💰 Calculated cost: $3.007471
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