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Automating Threat Hunting on the Dark Web: Tor Scraping & Credential Harvesting

Apurv Gautam

Apurv Gautam demonstrates building automated crawlers and threat intelligence collectors to monitor Tor darknet markets and paste sites for leaked corporate data.

Summary

The Value of Dark Web Telemetry in Enterprise Threat Intelligence

Underground cybercrime forums, paste sites, and darknet leak platforms serve as early indicators of compromised employee credentials and corporate breach data.

Architecting Automated Tor Crawlers and Scrapers

Apurv Gautam details building resilient automated scraping frameworks in Python using Tor proxies, rotating user agents, and CAPTCHA handling.

Extracting, Parsing, and Normalizing Leaked Indicators

The speaker shows how to extract email domains, hashed credentials, and proprietary code snippets from unstructured forum posts and indexed onion pages.

Operationalizing Dark Web Feeds for Threat Hunting

The presentation provides incident responders with methodologies for integrating darknet intelligence into automated SIEM alerting and proactive credential resets.

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