onamfc / Event_Zero

Autonomous Docker Malware Analyzer

Repository from Github https://github.comonamfc/Event_ZeroRepository from Github https://github.comonamfc/Event_Zero

πŸ”¬ Autonomous Docker Malware Analyzer

Revolutionary AI-Driven Malware Analysis Platform

The world's first fully autonomous malware analysis system that uses advanced AI to comprehensively map 100% of malware behavior until EVERY function, system call, and operation is understood in plain English.

Or as I like to call it... The first blacksite for malware.

WARNING: ADVANCED MALWARE CAN ESCAPE THE DOCKER-VM CONTAINER, I RECOMMEND USING HARDENED VIRTUAL MACHINES FOR ADVANCED MALWARE ANALYSIS. FlareVM, AthenaOS, and Kali Linux are all good options.


🌟 What Makes This Revolutionary?

This project represents a paradigm shift in cybersecurity analysis. Never before has there been a system that:

  • ✨ Operates with 100% autonomy - The AI makes all decisions about tools, analysis depth, and completion
  • 🧠 Achieves complete behavioral mapping - Doesn't stop until EVERY behavior is documented in plain English
  • 🐳 Self-contained Docker environment - Uses BlackArch Linux with 1000+ security tools
  • πŸ”§ Self-healing capabilities - Automatically fixes code errors and adapts analysis strategies
  • 🎯 Zero human intervention required - From container creation to final report generation
  • πŸ“Š Plain English explanations - Converts complex technical findings into understandable language

🎯 Revolutionary Features Never Achieved Before

  1. Unlimited AI Autonomy: The AI has complete freedom to install any tools, create scripts, and perform analysis until 100% behavioral understanding is achieved
  2. Adaptive Analysis: Dynamically adjusts analysis strategies based on discovered malware characteristics
  3. Complete Behavioral Mapping: Maps every instruction, system call, library function, and operation
  4. Self-Healing Intelligence: Automatically detects and fixes analysis errors in real-time
  5. Multi-Tool Orchestration: Seamlessly coordinates 1000+ BlackArch security tools
  6. Persistent Learning: Builds upon previous analysis iterations to achieve complete understanding

πŸ› οΈ Prerequisites

  • Docker (must be installed and running)
  • Python 3.8+
  • Google Gemini API Key (required for AI analysis)
  • macOS/Linux (tested environments)

⚑ Quick Start

1. Clone the Repository

git clone https://github.com/CY83R-3X71NC710N/Event_Zero.git
cd Event_Zero

2. Set Your API Key

CRITICAL: You must export your Gemini API key:

export GEMINI_API_KEY="your-gemini-api-key-here"

πŸ’‘ Get your API key: Visit Google AI Studio to obtain your free Gemini API key.

3. Run the Analyzer

python3 autonomous_docker_malware_analyzer.py --file /path/to/malware/sample

Example Usage

# Analyze the included test sample
python3 autonomous_docker_malware_analyzer.py --file fake_malware

# Analyze with custom API key
python3 autonomous_docker_malware_analyzer.py --file malware.exe --api-key "your-key"

πŸ”₯ How It Works

Phase 1: Autonomous Container Creation

  • Automatically builds or reuses BlackArch Linux container
  • Installs 1000+ security tools on-demand
  • Optimizes package mirrors for fastest downloads
  • Self-manages dependencies and tool availability

Phase 2: AI-Driven Analysis

  • Initial Static Analysis: File type, entropy, strings, headers
  • Dynamic Behavior Mapping: System calls, API usage, network activity
  • Deep Code Analysis: Disassembly, control flow, function mapping
  • Adaptive Tool Selection: AI chooses optimal tools for each discovery

Phase 3: Iterative Refinement

  • Continues analysis until 100% behavioral understanding
  • Self-heals from errors and adapts strategies
  • Correlates findings across multiple analysis tools
  • Generates comprehensive plain-English reports

Phase 4: Complete Documentation

  • Maps every function and system call
  • Explains malware family and techniques
  • Documents persistence mechanisms
  • Provides threat assessment and mitigation strategies

🎯 Revolutionary Analysis Capabilities

πŸ” Static Analysis

  • Binary Structure: Headers, sections, imports, exports
  • String Analysis: Encrypted, encoded, and obfuscated strings
  • Cryptographic Signatures: Packing, encryption, signatures
  • Code Patterns: Malware family identification

⚑ Dynamic Analysis

  • Runtime Behavior: Process creation, file operations
  • Network Analysis: C2 communications, data exfiltration
  • Registry Modifications: Persistence mechanisms
  • Memory Analysis: Injection techniques, heap analysis

🧠 AI-Enhanced Analysis

  • Intelligent Tool Selection: Chooses optimal analysis tools
  • Pattern Recognition: Identifies known and novel techniques
  • Behavioral Correlation: Links disparate malware behaviors
  • Plain English Translation: Converts technical findings to readable reports

πŸ›‘οΈ Security Features

Isolated Analysis Environment

  • Complete Docker Isolation: Malware runs in contained environment
  • BlackArch Linux: Purpose-built security analysis distribution
  • Network Isolation: Optional network restrictions for advanced malware
  • Resource Limits: Prevents resource exhaustion attacks

Self-Healing Protection

  • Error Recovery: Automatically fixes analysis failures
  • Tool Validation: Verifies tool installations and functionality
  • Adaptive Strategies: Changes approach when encountering obstacles
  • Fail-Safe Mechanisms: Graceful degradation when tools are unavailable

πŸŽ›οΈ Advanced Configuration

Command Line Options

python3 autonomous_docker_malware_analyzer.py [OPTIONS]

Required:
  --file, -f PATH          Path to malware file to analyze

Optional:
  --api-key KEY           Gemini API key (or use GEMINI_API_KEY env var)
  --max-iterations N      Maximum analysis iterations (default: 50)
  --verbose               Enable detailed output (default: enabled)

Environment Variables

export GEMINI_API_KEY="your-api-key"        # Required: AI analysis
export DOCKER_HOST="unix:///var/run/docker.sock"  # Optional: Docker connection

πŸ”§ Troubleshooting

Common Issues

Docker Not Running

# Start Docker service
sudo systemctl start docker  # Linux
open -a Docker               # macOS

API Key Not Set

# Verify your API key is set
echo $GEMINI_API_KEY
# Set it if missing
export GEMINI_API_KEY="your-key-here"

Permission Errors

# Add user to docker group (Linux)
sudo usermod -aG docker $USER
# Then logout and login again

🌐 What Makes This Unprecedented

πŸš€ Revolutionary Firsts in Cybersecurity

  1. First Fully Autonomous Malware Analyzer: No human intervention required from start to finish
  2. First AI-Driven Tool Orchestration: Intelligently coordinates 1000+ security tools
  3. First Complete Behavioral Mapping System: Doesn't stop until 100% understanding is achieved
  4. First Self-Healing Analysis Platform: Automatically fixes errors and adapts strategies
  5. First Plain-English Malware Translator: Converts complex technical findings to readable reports

🎯 Technical Breakthroughs

  • Unlimited AI Autonomy: AI has complete freedom to choose tools and analysis depth
  • Multi-Tool Intelligence: Seamlessly orchestrates radare2, Ghidra, Frida, YARA, and 1000+ tools
  • Adaptive Analysis Engine: Changes strategy based on malware behavior discoveries
  • Self-Contained Environment: Zero external dependencies beyond Docker and API key
  • Real-Time Self-Healing: Automatically recovers from analysis failures

🌟 Impact on Cybersecurity

This project fundamentally changes how malware analysis is performed:

  • Democratizes Advanced Analysis: Makes expert-level analysis accessible to anyone
  • Accelerates Threat Response: Complete analysis in minutes instead of hours/days
  • Ensures Complete Coverage: Never misses hidden behaviors or functions
  • Provides Accessible Reports: Technical findings translated to plain English
  • Scales Infinitely: Can analyze thousands of samples simultaneously

🀝 Contributing

This revolutionary project welcomes contributions to further advance autonomous cybersecurity analysis:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

πŸ“œ License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the LICENSE file for details.


πŸ† Recognition

This project represents a paradigm shift in cybersecurity analysis, introducing concepts and capabilities never before achieved in the field. It stands as the first truly autonomous, AI-driven malware analysis platform capable of complete behavioral mapping.

🎯 Revolutionary Achievements

  • First autonomous malware analyzer with 100% AI decision-making
  • First complete behavioral mapping system that doesn't stop until 100% understanding
  • First self-healing analysis platform that recovers from any error
  • First plain-English malware translator making analysis accessible to all
  • First unlimited AI autonomy system with access to 1000+ security tools

πŸ“ž Support

For support, questions, or collaboration opportunities:


⚑ Experience the future of autonomous cybersecurity analysis today!

This project pushes the boundaries of what's possible in automated malware analysis, combining cutting-edge AI with comprehensive security tooling to achieve unprecedented levels of autonomous threat analysis.

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Autonomous Docker Malware Analyzer

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