TheRealXaiL · July 10, 2025 11:39
diff --git a/osint_prompts b/osint_prompts
 emails:
 You are performing OSINT for an upcoming penetration test. For the target domain [TARGET_DOMAIN], identify all known employee email addresses by:

 1. Searching the web and X for publicly listed emails @TARGET_DOMAIN.
 2. Searching LinkedIn for current and former employees of the company associated with TARGET_DOMAIN.
 3. Scraping the target website for metadata in documents like PDFs and Microsoft suite files (e.g., using browse_page on document URLs to extract author names, etc.), and add any identified names.
 4. For each identified employee name, guess email formats as firstname.lastname@TARGET_DOMAIN; handle common nicknames by including variants (e.g., mike/michael, bill/william, rob/robert, nick/nicholas, etc.).
 5. Search deeper across multiple pages/sources for more employees.
 6. Compile a unique list of all found/guessed emails in CSV format (column: email), including inline citations for sources using .
	emails:
	You are performing OSINT for an upcoming penetration test. For the target domain [TARGET_DOMAIN], identify all known employee email addresses by:

	1. Searching the web and X for publicly listed emails @TARGET_DOMAIN.
	2. Searching LinkedIn for current and former employees of the company associated with TARGET_DOMAIN.
	3. Scraping the target website for metadata in documents like PDFs and Microsoft suite files (e.g., using browse_page on document URLs to extract author names, etc.), and add any identified names.
	4. For each identified employee name, guess email formats as firstname.lastname@TARGET_DOMAIN; handle common nicknames by including variants (e.g., mike/michael, bill/william, rob/robert, nick/nicholas, etc.).
	5. Search deeper across multiple pages/sources for more employees.
	6. Compile a unique list of all found/guessed emails in CSV format (column: email), including inline citations for sources using .
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