# Dark Web Reconnaissance V2


Dark Web Reconnaissance V2 is a multi-layered framework designed to detect personally identifiable information (PII) leaks and credential exposures across dark web marketplaces, paste sites, and underground forums. It combines anonymity-preserving crawling, NLP-driven entity extraction, and real-time alerting into a practical intelligence pipeline for cybersecurity teams.


## 2026
- [Dark Web Reconnaissance V2: A Multi-Layered Framework for PII and Credential Leak Detection](/hacker/gajakosh_shekar_pankaj/defcon_sg_demolabs_2026/index.md)