This project is an automated Dark Web monitoring and profiling system designed to crawl .onion websites, identify threats, reveal potential misconfigured IP addresses, track sellers, and archive sensitive content for investigative purposes.
Telegram bot for monitoring keywords on .onion sites. It uses `requests_tor` to perform web scraping through the Tor network and sends notifications via Telegram.
Modern dark web threat intelligence scraper with sleek Streamlit UI - Monitor .onion sites for cybersecurity threats through Tor. Educational use only.
🪲 Bikōchū (微香虫) - DIY Self-Hosted Shodan-Like. Remember, track, uncover: The shinobi way of Bikōchū's scanning.
All-in-one anonymous VPN toolkit with DarkGhost Mode, Tor integration, auto-cleaning, honeypot traps, and RAM-only stealth protection.
Xpose is a powerful software solution for performing advanced deanonymization techniques, designed to trace the operators behind illegal dark web sites. The system includes both a web app and CLI (Command Line Interface) to offer flexibility and reliability.
ALERT - Automated Leak Examination and Reporting Tool
This is a darkweb forums tracker that monitors forum posts and sends alerts to Discord
DarkWeb Intelligence & AI Analysis System This project automates the collection, processing, and analysis of data from the Dark Web, Twitter/X, Reddit, and other sources using AWS services. It integrates Claude 3 on AWS Bedrock for AI-driven insights.
ShadowScrawl is a Dark Web OSINT tool designed for secure and anonymous data scraping.
a python CLI to help analysts investigate anonymously surfaced data leaks by building a "structural fingerprint" of the known data (column format, username patterns, field types, etc.), then comparing it against known or scraped leaks to find probable sources or related breaches.
HiddenOSINT is an open-source information gathering tool designed to analyze and profile dark web (.onion) domains. It provides technical and structural insights about a given onion service using passive reconnaissance methods.
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