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usestrix/strix

📈 Trending25,366PythonAudience · developerComplexity · 4/5ActiveLicenseSetup · hard

TLDR

AI-powered security testing tool that automatically finds real vulnerabilities in your code by acting like a hacker, then proves they work with actual exploits.

Mindmap

mindmap
  root((Strix))
    What it does
      AI agent hacking
      Real exploit proof
      Vulnerability scanning
    How it works
      Browser automation
      HTTP manipulation
      Code execution
      Custom exploits
    Vulnerability types
      SQL injection
      Access control flaws
      XSS attacks
      SSRF attacks
    Integration
      CI/CD pipelines
      Pull request scanning
      Auto-fix PRs
    Use cases
      Pre-launch security
      Bug bounty programs
      Continuous monitoring

Things people build with this

USE CASE 1

Scan your codebase before product launch to catch real security flaws with working proof-of-concept exploits.

USE CASE 2

Integrate into CI/CD to automatically test every pull request and block vulnerable code before deployment.

USE CASE 3

Run continuous security monitoring on live web applications without hiring a dedicated penetration tester.

USE CASE 4

Generate auto-fix pull requests through the managed cloud platform to remediate vulnerabilities automatically.

Tech stack

PythonDockerLLM APIBrowser automationHTTP client

Getting it running

Difficulty · hard Time to first run · 1h+

Requires Docker, LLM API key, and browser automation setup; multiple moving parts need coordination.

Use freely for any purpose including commercial. Keep the notice and disclose changes to the patent grant.

In plain English

Strix is an open-source security testing tool that uses AI agents to act like a real hacker, probing your application for vulnerabilities and confirming them with actual working proof-of-concept exploits (not just theoretical warnings). Most security tools either flag too many false alarms (static analysis that says something might be risky) or require expensive manual work (hiring a human penetration tester). Strix sits in between: automated, but actually verifying that vulnerabilities are real before reporting them. You point it at a local codebase, a GitHub repo, or a live web URL, and a team of AI agents goes to work. They can browse your app in a real browser, manipulate HTTP requests (the messages sent between browser and server), run commands in a terminal, write and execute custom exploit code, and document findings. They cover common vulnerability categories like SQL injection (tricking a database with malicious input), access control flaws (reaching data you shouldn't), XSS (cross-site scripting, injecting code into web pages), SSRF (making your server call internal systems it shouldn't), and more. It integrates with CI/CD pipelines (automated build and deploy systems) so you can scan every pull request automatically and block insecure code before it ships. A managed cloud platform at app.strix.ai offers one-click auto-fix as ready-to-merge pull requests. You'd reach for Strix when preparing for a product launch, running a bug bounty program, or wanting continuous security coverage without a dedicated security team. Requires Docker and an LLM API key. Written in Python.

Copy-paste prompts

Prompt 1
Set up Strix to scan my GitHub repository for SQL injection and XSS vulnerabilities. What Docker setup and API keys do I need?
Prompt 2
How do I integrate Strix into my GitHub Actions workflow to block pull requests with confirmed security flaws?
Prompt 3
Show me how to use Strix's AI agents to test my web app's access control, can it verify that unauthorized users can't access admin pages?
Prompt 4
I want to use Strix's managed cloud platform at app.strix.ai to auto-generate fix pull requests. What's the setup process?
Prompt 5
How does Strix differ from static analysis tools like SonarQube? Can it actually execute exploits to prove vulnerabilities are real?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.