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.
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About Mozilla 0DIN AI Scanner on Product Hunt
“Scan any LLM chatbot for vulnerabilities”
Mozilla 0DIN AI Scanner launched on Product Hunt on April 9th, 2026 and earned 79 upvotes and 4 comments, placing #48 on the daily leaderboard. 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.
Mozilla 0DIN AI Scanner was featured in Developer Tools (511.1k followers), Artificial Intelligence (466.4k followers), GitHub (41.2k followers) and Security (2.6k followers) on Product Hunt. Together, these topics include over 176.6k products, making this a competitive space to launch in.
Who hunted Mozilla 0DIN AI Scanner?
Mozilla 0DIN AI Scanner was hunted by Joe McBride. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Mozilla 0DIN AI Scanner stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Joe McBride
Demo Video: https://youtu.be/OpSfq0f1qws
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.