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ExaaiAgnt - Advanced AI Security Agent for Comprehensive Penetration Testing

Project description

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ExaaiAgnt

Advanced AI Security Agent for Comprehensive Penetration Testing

Python PyPI License


[!TIP] New! ExaaiAgnt 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!


🔥 ExaaiAgnt Overview

ExaaiAgnt is an elite AI-powered cybersecurity agent that acts like a real penetration tester - running your code dynamically, finding vulnerabilities, and validating them through actual proof-of-concepts. Built for developers and security teams who need fast, accurate security testing.

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
  • 🧠 Multi-LLM Support - OpenAI, Anthropic, Gemini, local models
  • 🌐 Cloud & Container Security testing capabilities

🎯 Use Cases

  • Application Security Testing - Detect and validate critical vulnerabilities
  • Rapid Penetration Testing - Get pentests done in hours, not weeks
  • Bug Bounty Automation - Automate research and generate PoCs
  • CI/CD Integration - Block vulnerabilities before production
  • API Security Testing - REST, GraphQL, gRPC security analysis
  • Cloud Security - AWS, Azure, GCP configuration review

🚀 Quick Start

Prerequisites:

  • Docker (running)
  • Python 3.12+
  • An LLM provider (OpenAI, Anthropic, OpenRouter, Ollama, or any compatible provider)

Installation & First Scan

# Install ExaaiAgnt
pipx install exaai-agent

# Configure your AI provider (choose one)

# Option 1: OpenAI
export EXAAI_LLM="openai/gpt-5"
export LLM_API_KEY="your-openai-key"

# Option 2: Anthropic
export EXAAI_LLM="anthropic/claude-sonnet-4-5"
export LLM_API_KEY="your-anthropic-key"

# Option 3: OpenRouter (access multiple models)
export EXAAI_LLM="openrouter/auto"  # or specific model like "openrouter/openai/gpt-4"
export LLM_API_KEY="your-openrouter-key"
export LLM_API_BASE="https://openrouter.ai/api/v1"

# Option 4: Ollama (local models)
export EXAAI_LLM="ollama/llama3"
export LLM_API_BASE="http://localhost:11434"

# Option 5: LMStudio (local models)
export EXAAI_LLM="openai/local-model"
export LLM_API_BASE="http://localhost:1234/v1"

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

[!NOTE] First run automatically pulls the sandbox Docker image. Results are saved to exaai_runs/<run-name>


✨ Features

🛠️ Agentic Security Tools

ExaaiAgnt agents come equipped with a comprehensive security testing toolkit:

  • Full HTTP Proxy - Request/response manipulation and analysis
  • Browser Automation - Multi-tab browser for XSS, CSRF, auth flows
  • Terminal Environments - Interactive shells for command execution
  • Python Runtime - Custom exploit development and validation
  • Reconnaissance - Automated OSINT and attack surface mapping
  • Code Analysis - Static and dynamic analysis capabilities
  • API Fuzzing - Advanced REST/GraphQL API testing

🎯 Comprehensive Vulnerability Detection

ExaaiAgnt identifies and validates 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
  • Cloud Security - AWS/Azure/GCP misconfigurations

🕸️ Graph of Agents

Advanced multi-agent orchestration for comprehensive security testing:

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

💻 Usage Examples

Basic Usage

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

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

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

Advanced Testing Scenarios

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

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

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

# Instructions from file
exaaiagnt --target api.your-app.com --instruction ./instruction.md

🤖 Headless Mode

Run ExaaiAgnt programmatically without interactive UI:

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

🔄 CI/CD (GitHub Actions)

name: exaaiagnt-security-test

on:
  pull_request:

jobs:
  security-scan:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Install ExaaiAgnt
        run: pipx install exaai-agent

      - name: Run ExaaiAgnt
        env:
          EXAAI_LLM: ${{ secrets.EXAAI_LLM }}
          LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
        run: exaaiagnt -n -t ./

⚙️ Configuration

export EXAAI_LLM="openai/gpt-5"
export LLM_API_KEY="your-api-key"

# Optional
export LLM_API_BASE="your-api-base-url"  # for local models (Ollama, LMStudio)
export PERPLEXITY_API_KEY="your-api-key"  # for search capabilities

Recommended Models:

  • OpenAI GPT-5 (openai/gpt-5)
  • Anthropic Claude Sonnet 4.5 (anthropic/claude-sonnet-4-5)
  • Google Gemini 2.0 (gemini/gemini-2.0-flash)

🆕 New Features in v1.0

  • Multi-LLM Load Balancing - Automatic failover between models
  • Enhanced Context Management - Better memory and conversation handling
  • Specialized Agents - API, Cloud, Mobile, Container security experts
  • Advanced Prompts - New vulnerability modules for emerging threats
  • Improved Reporting - Detailed PoC documentation and remediation guides

🤝 Contributing

We welcome contributions! Check out our Contributing Guide.

🌟 Support the Project

Love ExaaiAgnt? Give us a ⭐ on GitHub!

🙏 Acknowledgements

ExaaiAgnt builds on incredible open-source projects like LiteLLM, Caido, ProjectDiscovery, Playwright, and Textual.

[!WARNING] Only test apps you own or have permission to test. You are responsible for using ExaaiAgnt ethically and legally.

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