A comprehensive AI-powered cybersecurity agent capable of handling multiple cybersecurity tasks including incident response, penetration testing, threat intelligence, vulnerability assessment, security monitoring, and forensic analysis.
- Incident Response: Automated threat detection and response
- Penetration Testing: Vulnerability scanning and exploitation simulation
- Threat Intelligence: Gathering and analysis of threat indicators
- Vulnerability Assessment: Comprehensive security scanning
- Security Monitoring: Real-time security event analysis
- Forensic Analysis: Digital evidence collection and analysis
- ๐ฏ Modular Architecture: Each cybersecurity domain is a separate module
- ๐ Asynchronous Processing: Non-blocking task execution
- ๐ Real-time Results: Immediate feedback and reporting
- ๐ Web Interface: Modern, responsive web dashboard
- ๐ Comprehensive Logging: Detailed audit trails
- ๐จ Beautiful UI: Professional, modern interface
- Python 3.8+
- pip (Python package installer)
- Clone or download the project files
- Install dependencies:
pip install -r requirements.txt
Run the agent with the CLI interface:
python cyber_agent.pyStart the web interface:
python web_interface.pyThen open your browser to http://localhost:5000
Run the comprehensive demonstration:
python demo.py- Purpose: Respond to security incidents
- Input: Target system/IP, incident type
- Output: Threat analysis, response recommendations, evidence collection
- Purpose: Simulate cyber attacks to test defenses
- Input: Target system/application
- Output: Vulnerability report, exploitation results, security recommendations
- Purpose: Gather intelligence on threats and threat actors
- Input: Target domain/IP, threat type
- Output: Threat indicators, actor profiles, attack patterns
- Purpose: Identify security vulnerabilities
- Input: Target system/network
- Output: Vulnerability report, risk assessment, remediation guidance
- Purpose: Monitor security events and activities
- Input: Target network/system
- Output: Security events, anomaly detection, monitoring recommendations
- Purpose: Analyze digital evidence
- Input: Target system/device
- Output: Forensic artifacts, timeline analysis, evidence collection
- Real-time agent status
- Task execution history
- Quick action buttons
- Risk level indicators
- Quick Security Scan: Rapid vulnerability assessment
- Incident Response: Emergency incident handling
- Penetration Test: Automated penetration testing
- Threat Intelligence: Threat analysis and intelligence gathering
- Interactive results modal
- Risk level visualization
- Detailed findings and recommendations
- Evidence collection summary
GET /api/status- Get agent statusGET /api/capabilities- Get available capabilitiesPOST /api/tasks- Create and execute a taskGET /api/tasks- Get task historyGET /api/tasks/<task_id>- Get specific task details
POST /api/quick-scan- Perform quick security scanPOST /api/incident-response- Handle incident response
from cyber_agent import CyberAgent, TaskRequest, TaskType
import asyncio
async def main():
agent = CyberAgent()
# Create a penetration testing task
request = TaskRequest(
task_type=TaskType.PENETRATION_TESTING,
target="example.com",
parameters={"scan_type": "comprehensive"}
)
# Execute the task
result = await agent.execute_task(request)
print(f"Task completed: {result.status}")
print(f"Risk level: {result.risk_level}")
print(f"Findings: {len(result.findings)}")
asyncio.run(main())- Open
http://localhost:5000 - Click "Quick Security Scan"
- Enter target (IP, domain, or hostname)
- Click "Start Scan"
- View results in the modal
The demo.py script includes comprehensive demonstrations:
- Malware Detection Response
- Web Application Penetration Testing
- Network Vulnerability Assessment
- APT Threat Intelligence
- SIEM Security Monitoring
- Digital Forensic Analysis
- This is a demonstration/training tool
- Do not use against systems you don't own
- Always follow responsible disclosure practices
- Ensure proper authorization before testing
- Integration with real security tools (Nmap, Metasploit, etc.)
- Machine learning threat detection
- Automated remediation capabilities
- Integration with SIEM platforms
- Advanced reporting and analytics
- Multi-tenant support
This project is for demonstration purposes. Please ensure compliance with local laws and regulations when using cybersecurity tools.
This is a demonstration project showcasing AI capabilities in cybersecurity. Feel free to extend and improve the functionality!
๐ Ready to revolutionize cybersecurity with AI!
This AI agent demonstrates the potential for automated cybersecurity operations, combining multiple security domains into a unified, intelligent system.