@servasyy_ai: If you're maintaining a project alone without a security team and always feel uneasy before launch, this is basically a gift for you. To be honest, I don't trust most of the so-called "AI security scanners" on the market. After scanning, they give you a screen full of warnings, 90% of which are false positives – pure waste of time. That was until I looked into strix, which topped the GitHub daily leaderboard these past two days. It's different. Strix…

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Summary

Strix is an open-source AI penetration testing tool that dynamically runs applications in Docker sandboxes, uses the Caido proxy to intercept traffic, and leverages a Python sandbox to write practical Proof-of-Concept exploits to discover and verify vulnerabilities. It supports multi-agent collaboration, automatic patch generation, and CI/CD integration, making it more practical than traditional scanners with high false positive rates.

If you're maintaining a project alone without a security team and always feel uneasy before launch, this is basically a gift for you. To be honest, I don't trust most of the so-called "AI security scanners" on the market. After scanning, they give you a screen full of warnings, 90% of which are false positives – pure waste of time. That was until I looked into strix, which topped the GitHub daily leaderboard these past two days. It's different. It doesn't scan; it directly hacks into your code. It runs the application in a Docker sandbox, with a Caido HTTP interception proxy to modify packets, opens a browser to attack XSS and privilege escalation, and has a Python sandbox specifically for writing PoCs. What's the difference? Traditional tools tell you, "There might be SQL injection here." Strix directly writes a working exploit for you, complete with reproduction steps + CVSS score. It attacks SSRF, deserialization RCE, JWT, business logic race conditions and payment tampering – everything beyond the OWASP Top 10. And multiple agents can team up and divide the work. After the attack, it automatically generates patches and opens PRs, and can be plugged into CI/CD to intercept every commit. Previously, hiring someone for a penetration test cost weeks and tens of thousands of yuan. Now it takes a few hours and the cost of an API key. Apache 2.0 license, just configure an LLM key and run.
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Cached at: 07/04/26, 02:48 PM

If you’re maintaining a project alone, without a security team, and you always feel uneasy before going live, then this tool is essentially a gift for you.
To be honest, I basically don’t trust the so-called “AI security scanners” on the market. They flood you with a screen full of warnings, 90% of which are false positives – a pure waste of time.

Then I checked out Strix, which has been topping the GitHub daily rankings recently. It’s different. It doesn’t just scan; it directly hacks into your code.

It runs your application inside a Docker sandbox, with a Caido HTTP interception proxy for packet manipulation, opens a browser to test for XSS and privilege escalation, and includes a Python sandbox specifically for writing PoCs.

What’s the difference? Traditional tools tell you “There might be SQL injection here.” But Strix directly writes a working exploit for you, complete with reproduction steps and a CVSS score.

It covers SSRF, deserialization RCE, JWT attacks, race conditions and payment tampering in business logic, and everything beyond the OWASP Top 10.

Multiple agents can also team up and divide tasks. After completion, it automatically generates patches and opens PRs, and can be integrated into CI/CD to check every commit.

Previously, hiring someone for a penetration test would take weeks and cost tens of thousands. Now, it takes a few hours and costs the price of an API key.

Apache 2.0 licensed, just configure an LLM key and run.


usestrix/strix

Source: https://github.com/usestrix/strix

Strix

The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities.

Discord

New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches production - Get started with no setup required (https://app.strix.ai).


Strix Overview

Strix are autonomous AI penetration testing agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proofs-of-concept. Built for developers and security teams who need fast, accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools.

Key Capabilities:

  • Full pentesting toolkit - reconnaissance, exploitation, and validation out of the box
  • Multi-agent orchestration - teams of AI pentesters that collaborate and scale
  • Real exploit validation - working PoCs, not false positives like legacy vulnerability scanners
  • Developer‐first CLI - actionable findings with remediation guidance
  • Auto‐fix & reporting - generate patches and compliance-ready pentest reports

Use Cases

  • Application Security Testing - Detect and validate critical vulnerabilities in your applications
  • Rapid Penetration Testing - Get penetration tests done in hours, not weeks, with compliance reports
  • Bug Bounty Automation - Automate bug bounty research and generate PoCs for faster reporting
  • CI/CD Integration - Run tests in CI/CD to block vulnerabilities before reaching production

🚀 Quick Start

Prerequisites:

  • Docker (running)
  • An LLM API key from any supported provider (https://docs.strix.ai/llm-providers/overview) (OpenAI, Anthropic, Google, etc.)

Installation & First Scan

# Install Strix
curl -sSL https://strix.ai/install | bash

# Configure your AI provider
export STRIX_LLM="openai/gpt-5.4"
export LLM_API_KEY="your-api-key"

# Run your first security assessment
strix --target ./app-directory

First run automatically pulls the sandbox Docker image. Results are saved to strix_runs/


☁️ Strix Platform

Try the Strix full-stack penetration testing platform at app.strix.ai (https://app.strix.ai) - sign up for free, connect your repos and domains, and launch a pentest in minutes.

  • Validated findings with PoCs - every vulnerability includes a working proof-of-concept exploit and reproduction steps
  • One-click autofix - AI-generated security patches as ready-to-merge pull requests
  • Continuous pentesting - always-on vulnerability scanning that keeps pace with your deployments
  • DevSecOps integrations - GitHub, GitLab, Bitbucket, Slack, Jira, Linear, and CI/CD pipelines
  • Continuous learning - AI that builds on past findings, adapts to your codebase, and reduces false positives over time

Start your first pentest → (https://app.strix.ai)


✨ Features

Agentic Pentesting Tools

Strix agents come equipped with a comprehensive offensive security toolkit - the same tools used by professional penetration testers and ethical hackers:

  • HTTP Interception Proxy - Full request/response manipulation and analysis with Caido
  • Browser Exploitation - Automated browser for testing XSS, CSRF, clickjacking, and auth bypass flows
  • Shell & Command Execution - Interactive terminal for exploit development and post-exploitation
  • Custom Exploit Runtime - Python sandbox for writing and validating proof-of-concept exploits
  • Reconnaissance & OSINT - Automated attack surface mapping, subdomain enumeration, and fingerprinting
  • Static & Dynamic Code Analysis - SAST + DAST capabilities for comprehensive application security testing
  • Vulnerability Knowledge Base - Structured findings with CVSS scoring and OWASP classification

Comprehensive Vulnerability Scanner

Strix identifies, validates, and exploits a wide range of security vulnerabilities across the OWASP Top 10 and beyond:

  • Broken Access Control - IDOR, privilege escalation, auth bypass
  • Injection Attacks - SQL injection, NoSQL injection, OS command injection, SSTI
  • Server-Side Vulnerabilities - SSRF, XXE, insecure deserialization, RCE
  • Client-Side Attacks - XSS (stored/reflected/DOM), prototype pollution, CSRF
  • Business Logic Flaws - Race conditions, payment manipulation, workflow bypass
  • Authentication & Session - JWT attacks, session fixation, credential stuffing vectors
  • Infrastructure & Cloud - Misconfigurations, exposed services, cloud security issues
  • API Security - Broken authentication, mass assignment, rate limiting bypass

Graph of Agents (Multi-Agent Pentesting)

Advanced multi-agent orchestration for comprehensive automated penetration testing:

  • Distributed Pentesting - Specialized AI agents for recon, exploitation, and post-exploitation
  • Scalable Security Testing - Parallel execution across multiple targets for fast, comprehensive coverage
  • Dynamic Coordination - Agents share discoveries, chain vulnerabilities, and collaborate like a red team

Usage Examples

Basic Usage

# Scan a local codebase
strix --target ./app-directory

# Security review of a GitHub repository
strix --target https://github.com/org/repo

# Black-box web application assessment
strix --target https://your-app.com

Advanced Testing Scenarios

# Grey-box authenticated testing
strix --target https://your-app.com --instruction "Perform authenticated testing using credentials: user:pass"

# Multi-target testing (source code + deployed app)
strix -t https://github.com/org/app -t https://your-app.com

# White-box source-aware scan (local repository)
strix --target ./app-directory --scan-mode standard

# Focused testing with custom instructions
strix --target api.your-app.com --instruction "Focus on business logic flaws and IDOR vulnerabilities"

# Provide detailed instructions through file (e.g., rules of engagement, scope, exclusions)
strix --target api.your-app.com --instruction-file ./instruction.md

# Force PR diff-scope against a specific base branch
strix -n --target ./ --scan-mode quick --scope-mode diff --diff-base origin/main

Headless Mode

Run Strix programmatically without interactive UI using the -n/--non-interactive flag - perfect for servers and automated jobs. The CLI prints real-time vulnerability findings and the final report before exiting. Exits with non-zero code when vulnerabilities are found.

strix -n --target https://your-app.com

CI/CD (GitHub Actions)

Strix can be added to your pipeline to run a security test on pull requests with a lightweight GitHub Actions workflow:

name: strix-penetration-test
on:
  pull_request:
jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v6
        with:
          fetch-depth: 0
      - name: Install Strix
        run: curl -sSL https://strix.ai/install | bash
      - name: Run Strix
        env:
          STRIX_LLM: ${{ secrets.STRIX_LLM }}
          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
        run: strix -n -t ./ --scan-mode quick

In CI pull request runs, Strix automatically scopes quick reviews to changed files. If diff-scope cannot resolve, ensure checkout uses full history (fetch-depth: 0) or pass --diff-base explicitly.

Configuration

export STRIX_LLM="openai/gpt-5.4"
export LLM_API_KEY="your-api-key"

# Optional
export LLM_API_BASE="your-api-base-url" # if using a local model, e.g. Ollama, LMStudio
export PERPLEXITY_API_KEY="your-api-key" # for search capabilities
export STRIX_REASONING_EFFORT="high" # control thinking effort (default: high, quick scan: medium)

Strix automatically saves your configuration to ~/.strix/cli-config.json, so you don’t have to re-enter it on every run.

Recommended models for best results:

  • OpenAI GPT-5.4 (https://openai.com/api/) - openai/gpt-5.4
  • Anthropic Claude Sonnet 4.6 (https://claude.com/platform/api) - anthropic/claude-sonnet-4-6
  • Google Gemini 3 Pro Preview (https://cloud.google.com/vertex-ai) - vertex_ai/gemini-3-pro-preview

See the LLM Providers documentation (https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models.

Enterprise Pentesting

Get the same Strix experience with enterprise-grade (https://strix.ai/demo) controls: SSO (SAML/OIDC), custom compliance-ready penetration testing reports (SOC 2, ISO 27001, PCI DSS), dedicated support & SLA, custom deployment options (VPC/self-hosted), BYOK model support, and tailored AI pentesting agents optimized for your environment. Learn more (https://strix.ai/demo).

Documentation

Full documentation is available at docs.strix.ai (https://docs.strix.ai) - including detailed guides for usage, CI/CD integrations, skills, and advanced configuration.

Contributing

We welcome contributions of code, docs, and new skills - check out our Contributing Guide (https://docs.strix.ai/contributing) to get started or open a pull request (https://github.com/usestrix/strix/pulls)/issue (https://github.com/usestrix/strix/issues).

Join Our Community

Have questions? Found a bug? Want to contribute? Join our Discord! (https://discord.gg/strix-ai)

Support the Project

Love Strix? Give us a ⭐ on GitHub!

Acknowledgements

Strix builds on the incredible work of open-source projects like LiteLLM (https://github.com/BerriAI/litellm), Caido (https://github.com/caido/caido), Nuclei (https://github.com/projectdiscovery/nuclei), Playwright (https://github.com/microsoft/playwright), and Textual (https://github.com/Textualize/textual). Huge thanks to their maintainers!

Only test apps you own or have permission to test. You are responsible for using Strix ethically and legally.

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