Strix

Open-source AI Hackers to secure your Apps

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!

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🦉 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

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🎯 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.

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🚀 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 --instruction "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

OpenAI's GPT-5 (openai/gpt-5) and Anthropic's Claude Sonnet 4.5 (anthropic/claude-sonnet-4-5) work best with Strix, but we support many other options.

🤝 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

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!

Warning

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