Build a Dark Web Scraper for Cyber Threat Intelligence

Many data breaches, credential dumps, and malware operations surface first on dark web forums or marketplaces. By scraping this content, security teams can gain early visibility into threats and compromised assets — allowing for faster response and containment.

The system will crawl known `.onion` sites, search for predefined keywords (e.g., emails, domains, software exploits), extract relevant content, and store findings securely for review by threat analysts.

The crawler connects to the Tor network, navigates hidden services, and scrapes forum threads or post metadata. Each piece of text is matched against a list of sensitive patterns. Matched content is logged, categorized (e.g., credential leak, exploit sale), and included in scheduled intelligence reports.

• Establish a Tor connection using tools like Stem or requests over SOCKS proxies.
• Scrape HTML content or forum threads from known dark web portals.
• Use keyword or regex matchers to detect data of interest (e.g., emails, CVEs).
• Log matches, source links, post content, and time into a secure database.
• Send alert emails or Slack messages for high-priority findings.

• Tor Project (Official)
• BeautifulSoup Web Scraping Guide
• Stem Library (Tor Control)
• Open Threat Exchange (OSINT Feeds)
• YARA Rules for Threat Detection