An open-source intelligence (OSINT) tool for crawling and analyzing websites on the dark web and beyond.
TorBot is an open-source intelligence (OSINT) tool built for crawling and analyzing websites, particularly those on the dark web (.onion domains). It helps security professionals and researchers map site structures, validate links, and export data for further investigation. The tool supports both standard web crawling and anonymous access via Tor.
Security researchers, penetration testers, digital forensics investigators, and OSINT analysts who need to explore and analyze dark web or other website structures programmatically.
TorBot provides a specialized, open-source alternative for dark web OSINT with features like visual link tree generation, Tor integration, and data export, all built on a modular Python foundation that encourages community contributions and customization.
Dark Web OSINT Tool
Optimized for .onion sites with Tor integration via SOCKS5 proxy, making it a focused tool for dark web OSINT, as highlighted in the features list.
Exports crawl results as JSON files or visual link trees, facilitating further analysis and reporting, as specified in the options.
Generates visual trees and tables of link relationships, aiding in quick data comprehension, which is a key feature in the README.
Built on Python with a modular design, encouraging community contributions and customization, as stated in the philosophy.
Includes a built-in updater via the --update flag, allowing users to easily fetch the latest stable version without manual intervention.
The README explicitly marks features like saving links to a database and outputting HTML as 'Not done,' indicating gaps in promised functionality.
Requires manual Tor setup and configuration for anonymity, which can be cumbersome for users unfamiliar with proxy settings and network setups.
Lacks integrated features for keyword search, social media analysis, or screenshot capture, as noted in the curated features list as pending.
No graphical user interface, which may deter users who prefer visual, point-and-click tools for OSINT tasks.
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