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.
This project represents a paradigm shift in cybersecurity analysis. Never before has there been a system that:
- β¨ Operates with 100% autonomy - The AI makes all decisions about tools, analysis depth, and completion
- π§ Achieves complete behavioral mapping - Doesn't stop until EVERY behavior is documented in plain English
- π³ Self-contained Docker environment - Uses BlackArch Linux with 1000+ security tools
- π§ Self-healing capabilities - Automatically fixes code errors and adapts analysis strategies
- π― Zero human intervention required - From container creation to final report generation
- π Plain English explanations - Converts complex technical findings into understandable language
- Unlimited AI Autonomy: The AI has complete freedom to install any tools, create scripts, and perform analysis until 100% behavioral understanding is achieved
- Adaptive Analysis: Dynamically adjusts analysis strategies based on discovered malware characteristics
- Complete Behavioral Mapping: Maps every instruction, system call, library function, and operation
- Self-Healing Intelligence: Automatically detects and fixes analysis errors in real-time
- Multi-Tool Orchestration: Seamlessly coordinates 1000+ BlackArch security tools
- Persistent Learning: Builds upon previous analysis iterations to achieve complete understanding
- Docker (must be installed and running)
- Python 3.8+
- Google Gemini API Key (required for AI analysis)
- macOS/Linux (tested environments)
git clone https://github.com/CY83R-3X71NC710N/Event_Zero.git
cd Event_ZeroCRITICAL: You must export your Gemini API key:
export GEMINI_API_KEY="your-gemini-api-key-here"π‘ Get your API key: Visit Google AI Studio to obtain your free Gemini API key.
python3 autonomous_docker_malware_analyzer.py --file /path/to/malware/sample# 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"- 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
- 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
- Continues analysis until 100% behavioral understanding
- Self-heals from errors and adapts strategies
- Correlates findings across multiple analysis tools
- Generates comprehensive plain-English reports
- Maps every function and system call
- Explains malware family and techniques
- Documents persistence mechanisms
- Provides threat assessment and mitigation strategies
- Binary Structure: Headers, sections, imports, exports
- String Analysis: Encrypted, encoded, and obfuscated strings
- Cryptographic Signatures: Packing, encryption, signatures
- Code Patterns: Malware family identification
- Runtime Behavior: Process creation, file operations
- Network Analysis: C2 communications, data exfiltration
- Registry Modifications: Persistence mechanisms
- Memory Analysis: Injection techniques, heap 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
- 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
- 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
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)export GEMINI_API_KEY="your-api-key" # Required: AI analysis
export DOCKER_HOST="unix:///var/run/docker.sock" # Optional: Docker connection# Start Docker service
sudo systemctl start docker # Linux
open -a Docker # macOS# Verify your API key is set
echo $GEMINI_API_KEY
# Set it if missing
export GEMINI_API_KEY="your-key-here"# Add user to docker group (Linux)
sudo usermod -aG docker $USER
# Then logout and login again- First Fully Autonomous Malware Analyzer: No human intervention required from start to finish
- First AI-Driven Tool Orchestration: Intelligently coordinates 1000+ security tools
- First Complete Behavioral Mapping System: Doesn't stop until 100% understanding is achieved
- First Self-Healing Analysis Platform: Automatically fixes errors and adapts strategies
- First Plain-English Malware Translator: Converts complex technical findings to readable reports
- 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
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
This revolutionary project welcomes contributions to further advance autonomous cybersecurity analysis:
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License - see the LICENSE file for details.
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.
- 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
For support, questions, or collaboration opportunities:
- π Issues: GitHub Issues
- π¬ Discussions: GitHub Discussions
β‘ 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.