Strix

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

Tip

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.

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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 (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

Note

First run automatically pulls the sandbox Docker image. Results are saved to strix_runs/<run-name>

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☁️ Strix Platform

Try the Strix full-stack penetration testing platform at 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 →

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🤖 Use Strix from Your Coding Agent

Strix is agent-ready. Give Claude Code, Cursor, Codex, or any SKILL.md-compatible agent the ability to run pentests, fix findings, and set up CI scanning:

npx skills add usestrix/strix

This installs nine skills: penetration-testing-with-strix (run headless scans and read results), managed-pentesting-with-strix (drive the managed app.strix.ai platform via REST — no local Docker or LLM key), fix-security-vulnerabilities-with-strix (remediate + re-scan to verify), ci-security-scanning-with-strix (PR scanning in CI), plus target-specific workflows: application-security-testing, web-app-penetration-testing, api-security-testing, owasp-top-10-testing, and find-security-vulnerabilities-in-code. Agents can run Strix two ways with the same engine — the open-source CLI locally, or the managed cloud when there's no local infra — and read AGENTS.md for a quick reference, docs.strix.ai/llms.txt for the CLI docs, and docs.app.strix.ai for the API.

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✨ 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

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🖥️ Local Web Viewer

Every scan writes its results to disk as it runs. Bring them up in a local dashboard with a single command:

# Open the most recent run
strix view

# ...or open a specific run by name
strix view my-run-name

# Expose the viewer on all IPv4 interfaces at a fixed port
strix view --host 0.0.0.0 --port 8080 --no-open

strix view starts a lightweight local server (bound to 127.0.0.1 on a random port) and opens your browser to a private, tokened link. Nothing leaves your machine: the dashboard reads the run's files straight off disk, with no cloud account or upload required. The UI ships prebuilt with Strix, so there is no extra install and no JS build step.

Use --host 0.0.0.0 to make the viewer reachable from other machines. Replace 0.0.0.0 in the printed URL with the server's reachable IP or hostname. The token in that URL grants access to the selected run's scan data, history, and steering, so only share it with trusted users and restrict the port with your firewall. Requests without the token-derived session cannot read run data.

What's in the dashboard

• Overview: run status, target, and a severity breakdown of everything found so far.
• Vulnerabilities: each validated finding with its severity, details, and reproduction steps.
• Agent graph: a live map of the multi-agent team, showing which agent is doing what.
• Steering: send instructions to a live scan from the browser to redirect the agents mid-run.
• History: browse past runs on this machine and jump between them.
• Reports: generate a shareable report and email it to yourself or your team.

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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

API Testing (OpenAPI / Swagger / Postman)

Point Strix at an API contract and it tests every declared endpoint instead of having to discover them by crawling. Pair the spec with the live base URL so the agent knows where to send traffic:

# OpenAPI / Swagger file (.json / .yaml)
strix --target ./openapi.yaml --target https://api.your-app.com

# Postman collection export
strix --target ./collection.postman_collection.json --target https://api.your-app.com

# Postman collection pulled live by id (no manual export)
export POSTMAN_API_KEY="PMAK-..."
strix --target postman://<collection-uuid>

# ...with a Postman environment to resolve {{baseUrl}} / token variables
strix --target "postman://<collection-uuid>?env=<environment-uuid>"

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

# Targets from a file, one target per non-empty, non-comment line
strix --target-list ./targets.txt

# 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

Tip

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)

Note

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

Sign in with a ChatGPT subscription

Instead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscription:

strix auth login chatgpt      # sign in with your ChatGPT account

export STRIX_LLM="chatgpt/gpt-5.4"   # chatgpt/<model> runs on the subscription
strix --target ./app-directory

strix auth status             # show the active sign-in
strix auth logout             # forget the sign-in

Use the managed platform: strix cloud

The strix cloud commands drive the managed platform (app.strix.ai) from the terminal. Sign in once with the device flow. The sign-in creates your account and workspace on first use and stores a personal API token in ~/.strix/platform-auth.json:

strix cloud login                   # opens the browser, then pick a workspace and scopes
strix cloud login --scopes scans:read scans:write   # request specific token scopes
strix cloud login --workspace "My Team"             # select a workspace by name or ID
strix cloud whoami                  # show the active sign-in
strix cloud logout                  # forget the sign-in

Every operation of the REST API has a matching command in the form strix cloud <resource> <verb>:

strix cloud                                   # list all resources
strix cloud scans                             # list the verbs of a resource
strix cloud domains add --domain example.com --asset-type web_app
strix cloud scans start --engagement-type live_test --domain-ids <uuid> --wait
strix cloud vulns list --severity critical
strix cloud credits                           # credit balance
strix cloud billing topup --credits 20        # buy credits (agent payment, HTTP 402)

Workspaces and account setup also work from the terminal:

strix cloud workspaces list                   # your workspaces
strix cloud workspaces create --name "My Team"
strix cloud workspaces use "My Team"          # store a token for another workspace
strix cloud billing subscribe --plan strix_pro   # opens the hosted checkout page
strix cloud billing portal                    # opens the billing portal
strix cloud integrations install github       # opens the app installation page
strix cloud domains verify <domain-id>        # prints the DNS record to add

The last four commands end at a person. Strix creates the link, opens the browser for an interactive terminal, and always prints the URL. The user enters the card, approves the installation, or adds the DNS record. Pass --no-browser to print the URL only.

The commands are agent friendly. Output is JSON when stdout is not a terminal or when you pass --json. There are no prompts when stdin is not a terminal. Exit codes: 0 success, 1 error, 2 invalid usage, 4 authentication required, 5 payment required. Set the token with --token or STRIX_API_TOKEN to skip the stored sign-in.

Write commands take request fields as flags, and every write command also accepts one JSON object with --data:

strix cloud scans start --data '{"engagement_type":"code_review"}'   # literal JSON
strix cloud scans start --data @request.json                         # read a file
cat request.json | strix cloud scans start --data -                  # read standard input

The platform enforces plan and role limits. Report downloads need the Enterprise plan, schedules need the Pro plan, and billing writes need an admin token. Those commands return the platform message and exit code 4.

Connect your own MCP servers

Strix can connect to Model Context Protocol (MCP) servers you list and expose their tools to the agent during a run. Create ~/.strix/mcp-servers.json with a JSON list of servers. Each entry is either a local stdio server that Strix launches as a subprocess, or a remote http server:

[
  {
    "name": "local_fs",
    "transport": "stdio",
    "command": "npx",
    "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/project"]
  },
  {
    "name": "github",
    "transport": "http",
    "url": "https://api.githubcopilot.com/mcp/",
    "auth": { "kind": "bearer", "token": "your-token" },
    "allowed_tools": ["list_issues"]
  }
]

Each server's tools are namespaced by name (for example local_fs_read_file). Omit allowed_tools to expose every tool the server offers, or set it to a list to restrict which tools the agent can call. The file is optional, and a server that fails to connect is skipped without failing the run. You can point Strix at a different file with STRIX_MCP_CONFIG.

Recommended models for best results:

• OpenAI GPT-5.4 - openai/gpt-5.4
• Anthropic Claude Sonnet 4.6 - anthropic/claude-sonnet-4-6
• Google Gemini 3 Pro Preview - vertex_ai/gemini-3-pro-preview

See the LLM Providers documentation for all supported providers including Vertex AI, Bedrock, Azure, and local models.

Enterprise Pentesting

Get the same Strix experience with enterprise-grade 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.

Documentation

Full documentation is available at 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 to get started or open a pull request/issue.

Join Our Community

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

Support the Project

Love Strix? Give us a ⭐ on GitHub!

Acknowledgements

Strix builds on the incredible work of open-source projects like LiteLLM, Caido, Nuclei, Playwright, and Bubble Tea. Huge thanks to their maintainers!

Warning

Authorized use only. Strix actively tests the targets you point it at, so only run it against systems you own or have explicit, written permission to test, and stay within the agreed scope. Unauthorized testing is illegal in most jurisdictions. You alone are responsible for obtaining authorization and complying with the law. Strix is provided "as is" with no warranty or liability for misuse.