Strix

Open-source AI Hackers to secure your Apps

⭐ Love Strix? Give us a star to help other developers discover it!

Tip

New! Strix now 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!

Warning

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

---

🦉 Strix Overview

Strix are autonomous AI agents that act just like real hackers - they run your code dynamically, find vulnerabilities, and validate them through actual proof-of-concepts. 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.

• Full hacker toolkit out of the box
• Teams of agents that collaborate and scale
• Real validation with PoCs, not false positives
• Developer‑first CLI with actionable reports
• Auto‑fix & reporting to accelerate remediation

---

🎯 Use Cases

• Detect and validate critical vulnerabilities in your applications.
• Get penetration tests done in hours, not weeks, with compliance reports.
• Automate bug bounty research and generate PoCs for faster reporting.
• Run tests in CI/CD to block vulnerabilities before reaching production.

---

🚀 Quick Start

Prerequisites:

• Docker (running)
• Python 3.12+
• An LLM provider key (or a local LLM)

# Install
pipx install strix-agent

# Configure AI provider
export STRIX_LLM="openai/gpt-5"
export LLM_API_KEY="your-api-key"

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

First run pulls the sandbox Docker image. Results are saved under agent_runs/<run-name>.

🏆 Enterprise Platform

Want to skip the setup? Try our cloud-hosted version: usestrix.com

Our managed platform provides:

• 📈 Executive Dashboards
• 🧠 Custom Fine-Tuned Models
• ⚙️ CI/CD Integration
• 🔍 Large-Scale Scanning
• 🔌 Third-Party Integrations
• 🎯 Enterprise Support

Get Enterprise Demo →

✨ Features

🛠️ Agentic Security Tools

• 🔌 Full HTTP Proxy - Full request/response manipulation and analysis
• 🌐 Browser Automation - Multi-tab browser for testing of XSS, CSRF, auth flows
• 💻 Terminal Environments - Interactive shells for command execution and testing
• 🐍 Python Runtime - Custom exploit development and validation
• 🔍 Reconnaissance - Automated OSINT and attack surface mapping
• 📁 Code Analysis - Static and dynamic analysis capabilities
• 📝 Knowledge Management - Structured findings and attack documentation

🎯 Comprehensive Vulnerability Detection

• Access Control - IDOR, privilege escalation, auth bypass
• Injection Attacks - SQL, NoSQL, command injection
• Server-Side - SSRF, XXE, deserialization flaws
• Client-Side - XSS, prototype pollution, DOM vulnerabilities
• Business Logic - Race conditions, workflow manipulation
• Authentication - JWT vulnerabilities, session management
• Infrastructure - Misconfigurations, exposed services

🕸️ Graph of Agents

• Distributed Workflows - Specialized agents for different attacks and assets
• Scalable Testing - Parallel execution for fast comprehensive coverage
• Dynamic Coordination - Agents collaborate and share discoveries

💻 Usage Examples

Default Usage

# Local codebase analysis
strix --target ./app-directory

# Repository security review
strix --target https://github.com/org/repo

# Black-Box Web application assessment
strix --target https://your-app.com

# Grey-Box Security Assesment
strix --target https://your-app.com --instructions "Perform authenticated testing using the following credentials user:pass"

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

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

🤖 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@v4

      - name: Install Strix
        run: pipx install strix-agent

      - name: Run Strix
        env:
          STRIX_LLM: ${{ secrets.STRIX_LLM }}
          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}

        run: strix -n -t ./

⚙️ Configuration

export STRIX_LLM="openai/gpt-5"
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

📚 View supported AI models

🤝 Contributing

We welcome contributions from the community! There are several ways to contribute:

Code Contributions

See our Contributing Guide for details on:

• Setting up your development environment
• Running tests and quality checks
• Submitting pull requests
• Code style guidelines

Prompt Modules Collection

Help expand our collection of specialized prompt modules for AI agents:

• Advanced testing techniques for vulnerabilities, frameworks, and technologies
• See Prompt Modules Documentation for guidelines
• Submit via pull requests or issues

👥 Join Our Community

Have questions? Found a bug? Want to contribute? Join our Discord!

🌟 Support the Project

Love Strix? Give us a ⭐ on GitHub!