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.