VulnFix is an AI-powered security assessment tool that analyzes applications for vulnerabilities and recommends the exact patches needed to fix them. It runs on self-hosted, open-source AI models.
Small teams and independent developers rarely have access to security experts. AI can help, but analyzing real applications takes millions of tokens, and commercial AI APIs make that cost unpredictable and out of reach. Sending sensitive vulnerability data to third-party APIs is also a privacy risk.
You provide the target and a scope file proving you are authorized to test it. VulnFix refuses to run outside that scope.
Standard open-source security tools map the application: endpoints, inputs, configurations, and dependencies.
Self-hosted open-source AI models review the findings, reason about attack patterns, and filter out false positives.
Every finding comes with a clear explanation, a risk rating, and a developer-ready patch or configuration fix.
Identifies common risks such as the OWASP Top 10: injection, broken authentication, misconfigurations, and more.
Doesn't just report problems. It explains how to fix each one with code and configuration changes.
AI models run on our own GPU servers. Your vulnerability data never leaves the environment.
Self-hosted open-source models avoid per-token API pricing, making deep analysis affordable.
Mandatory authorization scope file. The tool only tests targets you are explicitly permitted to test.
Readable reports with risk ratings, so developers and managers can prioritize what to fix first.
VulnFix is a defensive tool. It is designed to help owners find and fix weaknesses in their own systems.
Self-hosted AI model setup, scanner pipeline, and testing on lab applications.
Compare open-source models on detection accuracy and fix quality. Improve the AI agent.
Early access for developers and small teams, with an open-source core.
We're looking for feedback, early testers, and partners. Get in touch.
hello@vulnfix.site