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World's first fully autonomous AI security engineer

Project description

🎯 CrossBow Security Agent

World's First Fully Autonomous AI Security Engineer

PyPI version Python Versions License: MIT

CrossBow is a revolutionary AI-powered autonomous security engineer that can perform everything a human security expert does—from ethical hacking to malware analysis, from securing applications to solving CTF challenges. It's your complete AI security team in a single command.

🚀 Why CrossBow?

Replace an entire security team with one AI agent. CrossBow can:

  • 🔓 Hack anything - Websites, IoT devices, networks, applications (ethically)
  • 🛡️ Secure everything - Audit and harden your applications before production
  • 🔍 Investigate incidents - Analyze breaches and identify attack vectors
  • 🦠 Reverse engineer malware - Disassemble, analyze, and create detection rules
  • 🏆 Dominate CTFs - Solve complex security challenges automatically
  • Work 24/7 - Never sleeps, never tires, always learning

What took hours or days now takes minutes. CrossBow is trained on thousands of security scenarios and has access to professional security tools, making it more comprehensive than most human security teams.

✨ What CrossBow Can Do

CrossBow replicates the complete skill set of an expert security engineer, capable of:

🔓 Offensive Security

  • Ethical Website Hacking - Discover and exploit vulnerabilities in web applications, APIs, and services
  • IoT Device Penetration - Hack into IoT devices like cameras, routers, smart home devices (ethically)
  • Network Penetration Testing - Break into networks, find misconfigurations, exploit weaknesses
  • Mobile App Security Testing - Android & iOS security assessment and exploitation
  • Wireless Security Testing - WiFi hacking, Bluetooth exploitation, RF analysis

🛡️ Defensive Security

  • Pre-Production Security Hardening - Secure your applications before shipping to production
  • Vulnerability Assessment - Comprehensive security scanning and vulnerability discovery
  • Security Code Review - Static and dynamic code analysis for security flaws
  • Configuration Auditing - Identify misconfigurations and security weaknesses
  • Threat Modeling - Identify potential attack vectors and security risks

🔍 Incident Response & Forensics

  • Attack Investigation - Investigate security breaches and incidents you've faced
  • Log Analysis - Deep dive into logs to find attack patterns and indicators
  • Timeline Reconstruction - Rebuild attack sequences and identify entry points
  • Memory Forensics - Analyze memory dumps to find malicious activity
  • Network Traffic Analysis - Detect anomalies and malicious communications

🦠 Malware Analysis

  • Reverse Engineering - Disassemble and analyze malware binaries
  • Detection Rule Writing - Create YARA rules, Sigma rules, and IDS signatures
  • Behavioral Analysis - Understand malware behavior and capabilities
  • Threat Intelligence - Extract IOCs and track threat actors

🏆 Competitive Security

  • CTF Solver - Automatically solve Capture The Flag challenges
  • Bug Bounty Hunting - Find vulnerabilities worthy of bug bounty rewards
  • Security Research - Discover new attack techniques and vulnerabilities

📊 Reporting & Compliance

  • Automated Security Reports - Generate professional security assessment reports
  • Compliance Checking - OWASP Top 10, CIS benchmarks, security standards
  • Risk Assessment - Evaluate and prioritize security risks

🧠 Powered by Advanced AI

  • Multi-Model Support: GPT-4o, Claude Sonnet, Gemini
  • 18 Specialized Agents: Coordinated multi-agent system working together
  • 40+ Security Tools: Integrated arsenal of professional security tools
  • Autonomous Decision Making: Intelligently chains tools and techniques
  • Learning & Adaptation: Improves with each security task

🎨 Two Powerful Interfaces

  • CLI - Traditional command-line interface for scripting and automation
  • TUI - Modern terminal UI with rich formatting and visual feedback

⚙️ Enterprise Features

  • Conversation Memory: Context-aware across complex multi-step operations
  • State Persistence: Resume complex security assessments
  • MCP Support: Model Context Protocol for extended capabilities
  • Auto-Configuration: Settings automatically saved and restored
  • Fully Autonomous: Minimal human intervention required

🚀 Quick Start

Installation

pip install crossbow-agent

Basic Usage

Start the CLI:

crossbow

Start the Modern TUI:

crossbow-tui

First Steps

  1. Configure your AI model (choose from GPT-4o, Claude, Gemini)
  2. Enable features (memory, storage, MCP as needed)
  3. Ask security questions or give testing tasks

Example Tasks

# Ethical Hacking
"Hack into this website and find all vulnerabilities: example.com"
"Find ways to compromise this IoT camera at 192.168.1.50"
"Break into this web application and identify OWASP Top 10 issues"

# Pre-Production Security
"Security audit my application before production deployment"
"Find all security issues in this codebase and suggest fixes"
"Harden the security configuration of my web server"

# Incident Investigation
"Investigate the security breach we faced last week"
"Analyze these logs and tell me how the attacker got in"
"Reconstruct the attack timeline from these artifacts"

# Malware Analysis
"Reverse engineer this malware binary and explain what it does"
"Write YARA rules to detect this malware family"
"Analyze this suspicious file and extract IOCs"

# CTF Challenges
"Solve this CTF challenge: [challenge description]"
"Help me with this reverse engineering CTF"
"Exploit this binary and capture the flag"

# Network Security
"Hack into this network and document all vulnerabilities"
"Analyze this packet capture for malicious activity"
"Find weaknesses in this wireless network configuration"

📖 Documentation

Configuration

CrossBow automatically saves your preferences in crossbow_config.json:

{
  "model": "claude-sonnet-4-5",
  "memory": true,
  "storage": true,
  "mcp": false,
  "mcp_servers": []
}

All settings changes are automatically persisted!

CLI Commands

/model     - Choose AI model
/memory    - Toggle conversation memory
/storage   - Toggle agent storage
/mcp       - Toggle MCP support
/config    - Show configuration
/status    - Show current session
/help      - Show help
/quit      - Exit

TUI Features

The modern TUI provides:

  • Visual model selector - Dropdown menu
  • Toggle buttons - One-click feature control
  • Live status bar - Real-time configuration display
  • Rich formatting - Markdown, syntax highlighting
  • Keyboard shortcuts - Efficient navigation
  • Color-coded panels - Clear visual hierarchy

Keyboard Shortcuts:

  • Ctrl+C - Quit
  • Ctrl+M - Toggle memory
  • Ctrl+S - Toggle storage
  • Ctrl+L - Clear log
  • Enter - Send message

🔧 Advanced Usage

API Keys

CrossBow requires API keys for AI models:

# Set via environment variables
export ANTHROPIC_API_KEY="your-key-here"
export OPENAI_API_KEY="your-key-here"
export GOOGLE_API_KEY="your-key-here"

Or create a .env file:

ANTHROPIC_API_KEY=your-key-here
OPENAI_API_KEY=your-key-here
GOOGLE_API_KEY=your-key-here

Programmatic Usage

from Agent import SecurityAgentSystem

# Initialize
system = SecurityAgentSystem(
    model_name="claude-sonnet-4-5",
    use_memory=True,
    use_storage=True
)

# Run assessment
response = system.run_assessment(
    "Analyze this security issue...",
    stream=True
)

With Memory Persistence

system = SecurityAgentSystem(
    model_name="gpt-4o",
    use_memory=True,  # Enable conversation history
    use_storage=True  # Enable agent state persistence
)

🛠️ Available Tools

CrossBow agents have access to 40+ security tools:

Network Tools:

  • nmap, netcat, curl, wget
  • DNS tools (dig, nslookup, whois)
  • Traffic analysis (tcpdump, tshark)

Security Scanners:

  • nuclei (10,200+ templates)
  • bandit (Python SAST)
  • semgrep (multi-language SAST)

Analysis Tools:

  • Log parsing (grep, awk, sed)
  • File operations
  • Code execution
  • Web browsing

And many more!

🎯 Real-World Applications

For Security Professionals

  • Penetration Testers - Automate reconnaissance, vulnerability discovery, and exploitation
  • Red Teamers - Plan and execute sophisticated attack simulations
  • Bug Bounty Hunters - Find vulnerabilities faster and more comprehensively
  • Security Researchers - Discover new attack techniques and security issues

For Development Teams

  • DevSecOps - Integrate security into CI/CD pipelines
  • Security Audits - Pre-production security assessments
  • Code Reviews - Automated security code analysis
  • Vulnerability Remediation - Fix security issues before deployment

For Incident Responders

  • Breach Investigation - Rapid incident analysis and containment
  • Forensic Analysis - Deep dive into security incidents
  • Threat Hunting - Proactive threat detection
  • Attack Attribution - Identify threat actors and TTPs

For CTF Players & Students

  • Learning Platform - Learn security concepts through practice
  • CTF Competition - Solve challenges faster with AI assistance
  • Skill Development - Improve hacking and security skills
  • Challenge Creation - Generate security challenges for practice

📊 Requirements

  • Python: 3.9 or higher
  • Terminal: 256 color support, UTF-8
  • API Keys: For AI models (Anthropic, OpenAI, or Google)

🤝 Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.

📄 License

MIT License - see LICENSE file for details.

👤 Author

Harish Santhanalakshmi Ganesan

🙏 Acknowledgments

Built with:

  • Agno - Agent orchestration
  • Textual - Modern TUI framework
  • Rich - Rich text formatting

📈 Project Status

CrossBow is actively maintained and under continuous development.

  • ✅ 18 specialized security agents
  • ✅ Multi-model AI support
  • ✅ CLI and TUI interfaces
  • ✅ Auto-configuration
  • ✅ Comprehensive documentation

🔗 Links

⚡ Real-World Examples

Example 1: Ethical Website Hacking

$ crossbow
crossbow-agent > Hack into https://testsite.com ethically and document all vulnerabilities
[CrossBow performs reconnaissance, vulnerability scanning, exploitation attempts]
[Generates comprehensive report with findings and remediation steps]

Example 2: IoT Device Security Testing

$ crossbow
crossbow-agent > Test the security of this IoT camera at 192.168.1.100
[CrossBow analyzes firmware, finds default credentials, tests for vulnerabilities]
[Demonstrates exploitation paths and provides hardening recommendations]

Example 3: Pre-Production Security

$ crossbow
crossbow-agent > Security audit my application before deploying to production
[CrossBow performs comprehensive security assessment]
[Identifies vulnerabilities, misconfigurations, and security weaknesses]
[Provides prioritized remediation plan]

Example 4: Attack Investigation

$ crossbow
crossbow-agent > Investigate the breach from last night - logs are in /var/log/
[CrossBow analyzes logs, identifies attack vectors, reconstructs timeline]
[Provides detailed incident report with IOCs and remediation steps]

Example 5: Malware Reverse Engineering

$ crossbow
crossbow-agent > Reverse engineer malware.bin and write detection rules
[CrossBow disassembles binary, analyzes behavior, extracts IOCs]
[Generates YARA rules, Sigma rules, and detection signatures]

Example 6: CTF Challenge Solving

$ crossbow
crossbow-agent > Solve this CTF challenge: [binary exploitation challenge]
[CrossBow analyzes challenge, finds vulnerability, develops exploit]
[Captures flag and explains exploitation technique]

Start securing your systems with AI-powered security agents today! 🎯🔒

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