Dav2d Repository Protected by Anti-Bot System
Original: Dav2d
Why This Matters
Shows growing resistance from open source projects against AI training data collection
VideoLAN's Dav2d project repository is currently protected by Anubis, an anti-scraping system that uses proof-of-work challenges to prevent aggressive AI company crawling that causes website downtime.
The Dav2d repository, part of VideoLAN's video decoding projects, is now protected by Anubis version 1.25.0, a defensive system created by Techaro. The protection uses a Hashcash-style proof-of-work scheme to combat aggressive website scraping by AI companies. According to the system's message, mass scraping operations cause downtime that makes resources inaccessible to legitimate users. Anubis requires modern JavaScript features to complete challenges, which may conflict with privacy plugins like JShelter. The developers note this is a temporary solution while they work on better fingerprinting methods to identify headless browsers and reduce the need for challenges for legitimate users.