Launched April 21, 2026
Mozilla 0DIN AI Scanner

Mozilla 0DIN AI Scanner

Scan any LLM chatbot for vulnerabilities. Built by Mozilla.

FreeAI AgentsCISecurity1,495 impressions#16 of its week

Monitor, measure, and mitigate GenAI model vulnerabilities through real-time analytics, automated probing, and insights driven from thousands of human researchers. The 0DIN Scanner delivers continuous assurance that your models remain secure. Test for jailbreaks, prompt injections, and data leakage in minutes. Deploy via Docker or SaaS, get a full security report, and compare your results against base lines from the frontier providers. Over the last two years, we've been paying security researchers to break AI systems. Not with synthetic prompt generation, but with real attacks discovered through human ingenuity. Together they've submitted thousands of verified vulnerabilities across every major frontier model producer. We turned that work into the 0DIN Scanner, an open-source tool you can run today. What makes it different:
  • Leverage real human-discovered attack probes, not synthetic prompt variations
  • Validate any chatbot that can be reached with the browser, not just API endpoints
  • Provides full reports with severity scores, attack success rates, and frontier model comparisons
So if you have a customer-facing chatbot, AI agent, or internal LLM app, you can test it the way an attacker actually would.

Mozilla 0DIN AI Scanner tests chatbots, AI apps and agents for real researcher-validated vulnerabilities.

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Security, red-team, AppSec and platform engineers protecting LLM-powered products
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license
Apache-2.0
0din-ai/ai-scanner 671 113Rubyupdated 14 days ago
works withDockerGPT-3/4GeminiClaudeLlamaFalcon

Key features

6 features of Mozilla 0DIN AI Scanner
  • Researcher-validated probes — Runs attacks discovered by thousands of human researchers, not synthetic prompts.
  • Multi-model coverage — Tests against GPT-3/4, Gemini, Claude, Llama, Falcon and more.
  • Scheduled automated scans — Continuous re-testing on model, prompt or guardrail changes.
  • Severity reporting — Provides scores, attack success rates and maps findings to OWASP LLM Top 10 and MITRE ATLAS.
  • Exportable evidence — Generates PDF/SIEM-ready reports and audit-ready packets for compliance.
  • Detection SDK (SusFactor) — Scores each prompt for jailbreak/injection intent using human-verified signatures.

Use cases

  • Validate a customer-facing chatbot against prompt-injection attacks
  • Test RAG pipelines for context-poisoning before production
  • Assess autonomous agents that browse the web for control-flow failures
  • Provide audit-ready evidence of AI security for SOC 2 or ISO 27001 compliance
  • Continuously monitor model updates for regression of security posture

Mozilla 0DIN AI Scanner vs alternatives

Mozilla 0DIN AI ScannerSnykTrivyLangChainDoppler
Best forHuman-validated AI vulnerability scanningGeneral software vulnerability scanningContainer and infrastructure vulnerability scanningDeveloping LLM applicationsSecrets management
PricingContact salesSubscriptionFreeFreeSubscription
DevHunt upvotes00000
LaunchedApr 2026————

Mozilla 0DIN AI Scanner FAQ

How does 0DIN differ from synthetic prompt lists?+

It uses exploits submitted and verified by real researchers, ensuring attacks reflect actual attacker techniques.

Can I test any chatbot reachable via a browser?+

Yes, the scanner works with any chatbot or LLM interface that can be accessed through a browser, not just API endpoints.

What evidence does the tool provide for auditors?+

Full reports with severity scores, attack success rates, framework mappings (OWASP LLM Top 10, MITRE ATLAS), reproducibility hashes and disposition history.

Is there a free way to try the scanner?+

You can start a free, focused first-pass assessment for a single workflow (chatbot, app or agent).

How are new attacks kept up-to-date?+

The platform auto-pulls fresh researcher-validated exploits into probe packs and updates the detection SDK.

Summarized by DevHunt from 0din.ai · Oct 5, 2026. Details may change; check the official site.