Skip to content

Latest commit

 

History

History
39 lines (29 loc) · 3.45 KB

File metadata and controls

39 lines (29 loc) · 3.45 KB

🕸️ Dark Web OSINT and OnionScan

STATUS SCOPE


🔍 Dark Web OSINT Methodology

  • Site Profiling: Identifying the nature of a hidden service (e.g., forum, marketplace, or informational site) using metadata and content analysis.
  • Attribution Analysis: Tracking digital footprints such as PGP keys, reuse of CSS/JS files, or unique server headers that correlate across different hidden services.
  • Network Graphing: Mapping the interconnected nature of dark web entities to identify "tip-of-the-iceberg" versus deep infrastructure.

🛠️ OnionScan & Automated Analysis

  • OnionScan Functionality: A specialized tool designed to crawl and analyze .onion sites to detect security vulnerabilities, misconfigurations, and potential leaks.
  • Vulnerability Assessment: Automates the discovery of exposed internal IP addresses, hidden server configurations, and sensitive information accidentally published on the web server.
  • Data Extraction: Extracts metadata, titles, and headers from crawled pages to populate intelligence databases for further analysis.

📊 Reports & Foundational Case Studies

🎥 Expert Presentations & Tutorials

🔗 Essential Tools & Resources

⚠️ Technical Safety Protocols

  • Isolation: Onion scanning should never be performed from a production environment; always use hardened, non-persistent virtual machines.
  • Proxy Chaining: Ensure all scan traffic is routed through the Tor network.
  • Metadata Sanitization: Scrub all files downloaded during scanning of EXIF, GPS, or other identifying metadata before offline analysis.

IMPORTANT: Automated scanning is noisy and can be detected by site administrators. Review target policies and legal boundaries before deep-scan operations.

⬅️ Back to Main Directory