Katriel Moses, a security researcher, has released VoidAccess, a self-hostable open-source platform for dark web open-source intelligence (OSINT). He built it in the wave of AI-driven security tooling, aiming to match or surpass both current tools and paid commercial offerings. He also created MailAccess, an email OSINT tool he plans to develop further.
VoidAccess grew out of his work with DarkINT. He found dark web content too difficult for analysts to navigate manually, so he automated the collection pipeline. The engine removes noise and filters out NSFW material, giving analysts an overview of what is present on the dark web without requiring manual review.
The platform is designed for security researchers, threat-intelligence teams, and authorized investigators. It runs collection in parallel across Tor indexes, paste sites, code forges, security feeds, and curated .onion seeds. It then performs entity extraction covering indicators of compromise, wallets, credentials, handles, vulnerabilities, actors, and malware. Multi-source enrichment adds reputation, breach, passive DNS, sandbox, blockchain, and threat-feed context. Relationship graphs map co-occurrence, communities, and infrastructure clusters, and results can be exported in STIX 2.1, MISP, Sigma, YARA, Snort, Suricata, CSV, and other formats.
Installation requires only a few commands, and the engine runs until the job completes or a user-set time limit is reached. The project is available on GitHub and drew 74 points and 6 comments on Hacker News.
Source: Hacker News · Summarized by HeadlinesBriefing