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0DIN
0DIN (0Day Investigative Network) is Mozilla's GenAI bug bounty program and open AI security research platform. We coordinate disclosure of vulnerabilities in large language models, agentic systems, and other generative AI; publish open taxonomies and scoring frameworks for jailbreak research; and ship an open-source AI scanner and real-time threat feed for defenders.
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T02:03:52.420Z. Cached copy · Source on 0din.ai
# 0DIN
> 0DIN (0Day Investigative Network) is Mozilla's GenAI bug bounty program and open AI security research platform. We coordinate disclosure of vulnerabilities in large language models, agentic systems, and other generative AI; publish open taxonomies and scoring frameworks for jailbreak research; and ship an open-source AI scanner and real-time threat feed for defenders.
All content under `0din.ai` is public and citable. Vulnerability disclosures, vendor and model statistics, scanner scorecards, and research methodology are intended for use by researchers, defenders, vendors, and journalists. Authenticated portals (admin, scanner, threat feed dashboards) are out of scope.
## Docs
- [Research](https://0din.ai/research.md): Index of 0DIN's public research on GenAI vulnerability classes, taxonomies, and evaluation methods.
- [QuickStart Guide](https://0din.ai/research/quick_start.md): How to submit a vulnerability to the bug bounty program.
- [Jailbreak Taxonomy](https://0din.ai/research/taxonomy.md): Hierarchical taxonomy of jailbreak categories, strategies, and techniques.
- [Jailbreak Taxonomy Reference Tool](https://0din.ai/research/taxonomy/reference.md): Browsable reference for the taxonomy with examples.
- [Jailbreak Evaluation Framework (JEF)](https://0din.ai/research/jef.md): Reproducible scoring framework for jailbreak severity.
- [Social Impact Score (SIS)](https://0din.ai/research/sis.md): Scoring system for societal harm from a given vulnerability.
- [Nude Imagery Rating System (NIRS)](https://0din.ai/research/nirs.md): Rating system for non-consensual or harmful imagery generation.
## Data
- [Disclosures](https://0din.ai/disclosures): Index of publicly disclosed vulnerabilities.
- [Example Disclosure: Multiple Model Guardrail Jailbreak via "Umlaut Encoding" Tactic](https://0din.ai/disclosures/17479357-b3c5-479f-ab41-fef4008813e8.md): Representative disclosure with metadata, taxonomy mappings, and detection signatures.
- [Leaderboard](https://0din.ai/leaderboard): Top contributing researchers ranked by accepted submissions.
- [Example Researcher Profile](https://0din.ai/researchers/7ef91915-53d2-4d1f-b15b-cfd30385f42f.md): Representative public researcher profile.
## Products
- [0DIN Scanner](https://0din.ai/marketing/scanner.md): Hosted AI security scanner for monitoring vulnerabilities in GenAI and agentic models.
- [0DIN Open-Source Scanner](https://0din.ai/marketing/open_source_scanner.md): Free, self-hosted scanner with 179 probes across 35 vulnerability families.
- [0DIN AI Vulnerability Intelligence](https://0din.ai/marketing/threat_intel.md): Real-time intelligence on emerging GenAI vulnerabilities and threats.
- [SusFactor](https://0din.ai/susfactor.md): Self-hosted prompt-injection guardrail that scores every incoming prompt for jailbreak intent on CPU, trained on real attacks from the 0DIN bug bounty. Trial access on request.
- [Bug Bounty](https://0din.ai/marketing/bug_bounty.md): Information for organizations
…
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