System Architecture.
Examine service boundaries, API contracts, data flows, and infrastructure components. Click to zoom and pan.
Demo Walkthrough.
Watch an end-to-end execution of the system in action.
Runtime Screenshots.
Interface states, developer logs, and monitoring views. Click any image to view in lightbox.
Technical Specifications.
Verified parameters and operational benchmarks for this release.
Tech Stack.
Features Checklist.
Core capabilities, verified deliverables, and technical assets included with this release.
- Dark-web / .onion crawling
- Tor proxy integration
- Onion URL discovery
- Bulk onion site availability checking
- Recursive link extraction
- Web content extraction
- Automated threat scoring
- Threat alert generation
- Screenshot capture
- NLP-based content analysis
- Named Entity Recognition (NER)
- Dark-web content categorization
- Sentiment analysis
- Keyword frequency analysis
- Gemini-powered text structuring
- Crawled-site database
- Threat intelligence dashboard
- Crawling activity analytics
- Data-volume monitoring
- CSV data export
- Django web interface
System Requirements.
- OS
- Linux / Windows
- CPU
- 4+ cores recommended
- RAM
- 8GB minimum / 16GB recommended
- Tor
- Required for .onion crawling
- Python
- 3.10+
- Browser
- Chrome / Firefox / Edge
- Storage
- 5GB+
- Internet
- Required
About this Project.
Dark Web Threat Intelligence & OSINT Platform
The Dark Web Threat Intelligence & OSINT Platform is a defensive cybersecurity research platform designed to discover, collect, and analyze publicly accessible .onion resources through the Tor network.
The platform combines automated onion-site discovery and crawling with threat scoring, NLP-based content analysis, entity extraction, categorization, and security-focused analytics. It can recursively extract links, capture page content and screenshots, monitor onion-site availability, and organize collected intelligence through a centralized Django dashboard.
Built with Python and Django, the platform integrates Tor, BeautifulSoup, spaCy, NLTK, TextBlob, Pandas, and Gemini-powered text structuring to support automated analysis of dark-web content.
It is intended for cybersecurity researchers, threat-intelligence teams, OSINT analysts, and for who need a controlled environment for studying publicly accessible dark-web content and identifying potential security risks.
Important: This is a research and defensive intelligence platform. It does not provide access to illegal marketplaces, facilitate cybercrime, or guarantee the accuracy of automated threat classifications.