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Strix

Open-source AI Hackers to secure your Apps

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Strix Demo

> [!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! --- ## 🦉 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. **Key Capabilities:** - 🔧 **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 - **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 provider key (e.g. [get OpenAI API key](https://platform.openai.com/api-keys) or use a local LLM) ### Installation & First Scan ```bash # Install Strix curl -sSL https://strix.ai/install | bash # Or via pipx pipx install strix-agent # Configure your AI provider export STRIX_LLM="openai/gpt-5" export LLM_API_KEY="your-api-key" # Run your first security assessment strix --target ./app-directory ``` > [!NOTE] > First run automatically pulls the sandbox Docker image. Results are saved to `strix_runs/` ## ☁️ Run Strix in Cloud Want to skip the local setup, API keys, and unpredictable LLM costs? Run the hosted cloud version of Strix at **[app.strix.ai](https://strix.ai)**. Launch a scan in just a few minutes—no setup or configuration required—and you’ll get: - **A full pentest report** with validated findings and clear remediation steps - **Shareable dashboards** your team can use to track fixes over time - **CI/CD and GitHub integrations** to block risky changes before production - **Continuous monitoring** so new vulnerabilities are caught quickly [**Run your first pentest now →**](https://strix.ai) --- ## ✨ Features ### 🛠️ Agentic Security Tools Strix agents come equipped with a comprehensive security testing toolkit: - **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 Strix can identify and validate a wide range of security vulnerabilities: - **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 Advanced multi-agent orchestration for comprehensive security testing: - **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 ### Basic Usage ```bash # 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 ```bash # 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 # 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 ``` ### 🤖 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. ```bash 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: ```yaml name: strix-penetration-test on: pull_request: jobs: security-scan: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - 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 ``` ### ⚙️ Configuration ```bash 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](https://openai.com/api/) (`openai/gpt-5`) and [Anthropic's Claude Sonnet 4.5](https://claude.com/platform/api) (`anthropic/claude-sonnet-4-5`) are the recommended models for best results with Strix. See the [LLM Providers documentation](https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models. ## 📚 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/YjKFvEZSdZ)** ## 🌟 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), [ProjectDiscovery](https://github.com/projectdiscovery), [Playwright](https://github.com/microsoft/playwright), and [Textual](https://github.com/Textualize/textual). Huge thanks to their maintainers! > [!WARNING] > Only test apps you own or have permission to test. You are responsible for using Strix ethically and legally.