# Dark Web Reconnaissance V2: A Multi-Layered Framework for PII and Credential Leak Detection

By: Gajakosh Shekar Pankaj

Conference: Defcon
Year: 2026
Date: 2026-04-28

Tags: osint, deep-web, tor, threat-intelligence-platforms, data-leak, threat-hunting


## Resources
- Conference Link: https://defcon.org/html/defcon-singapore/dc-singapore-demolabs.html#content_65474



The dark web has become a critical yet challenging source of cyber threat intelligence, hosting credential leaks, exploit trading, and coordinated malicious activity under layers of anonymity. This talk presents Dark Web Reconnaissance V2, an enhanced multi-layered framework designed to detect personally identifiable information (PII) leaks and credential exposures across dark web marketplaces, paste sites, and underground forums.

The presentation will explore how anonymity-preserving crawling, NLP-driven entity extraction, and real-time alerting can be combined into a practical intelligence pipeline for cybersecurity teams. Attendees will see a live walkthrough of the system identifying simulated leaks across Tor-hosted sites.

This session is intended for cybersecurity practitioners, researchers, and students interested in OSINT automation, threat intelligence, and proactive cyber defense techniques in anonymized environments.