Build a Dark Web Scraper for Cyber Threat Intelligence
Create a tool that monitors hidden web platforms for leaked data, threat actor discussions, and malware listings to provide early warnings and enhance organizational cybersecurity preparedness.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.
Tor-Based Web Crawler
Use a Tor proxy to safely access and scrape `.onion` forums and markets for indexed posts and data leaks.
Keyword & Pattern Matching
Scan for leaked emails, passwords, company names, CVEs, malware hashes, or card dumps using regex.
Threat Report Generation
Summarize findings in dashboards with timestamps, source links, threat categories, and severity scores.
Secure Archival & Alerting
Log all scraped content securely and send alerts when high-risk data is detected (e.g., internal credentials).
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.
Crawler & Scraper
Python with BeautifulSoup, requests + Tor proxy, or Scrapy with SOCKS5 support.
Tor Integration
Tor daemon + Stem (controller), or Tor Browser headless routing via proxy ports.
Pattern Detection
Regex, YARA rules, string matchers for credentials, keywords, malware names, and exploits.
Reporting & Dashboard
Flask or Django backend with React dashboard and Chart.js for timeline visualizations.
1. Configure Tor Crawler Environment
Set up a Python script or Scrapy bot that routes requests through Tor using SOCKS5.
2. Identify Target .onion URLs
Use open-source intel or test environments to locate dark web forums or markets to scrape.
3. Build Scraper Logic and Regex Detection
Scrape post titles and content, and check for keyword matches or credential leak patterns.
4. Store and Categorize Data
Log results into a secure DB with source, type (e.g., login leak, exploit), timestamp, and severity.
5. Generate Alerts and Dashboards
Notify users on critical hits and create charts showing trends in dark web activity by keyword or time.
Illuminate the Dark Web. Stay Ahead of Threats.
Build a dark web scraping platform that empowers analysts and defenders with real-time cyber threat intelligence from the hidden corners of the internet.
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