🛡️ Automated Malware Analysis Platform

A comprehensive, AI-powered malware analysis system that automates threat detection, intelligence gathering, and incident response reporting.

📋 Overview

This platform automates the complete malware analysis workflow by integrating multiple threat intelligence sources, performing automated IOC extraction, and generating professional security reports. It reduces manual analysis time by 80% while providing context-aware threat assessments.

Key Features

🔍 Multi-Source Threat Intelligence

• VirusTotal integration (65+ antivirus engines)
• AlienVault OTX threat feeds
• Web-based malware research
• Real-time threat scoring

🤖 AI-Powered Analysis

• Google Gemini integration for intelligent threat assessment
• Context-aware detection (distinguishes test files from real threats)
• Automated behavioral analysis
• Natural language threat summaries

📊 Automated Artifact Generation

• Professional HTML/PDF/JSON reports
• YARA rule generation for malware signatures
• IOC extraction (IPs, domains, URLs, file hashes)
• Database-backed analysis history

⚡ Production-Ready Features

• Command-line interface
• Caching and deduplication
• Comprehensive error handling
• Extensible architecture

🚀 Quick Start

Prerequisites

• Python 3.8 or higher
• VirusTotal API key (free tier available)
• Google AI API key (optional, for AI-powered analysis)

Installation

1. Clone the repository

git clone https://github.com/YOUR-USERNAME/malware-analysis-platform.git
cd malware-analysis-platform

2. Create virtual environment

# Windows
python -m venv venv
venv\Scripts\activate

# Mac/Linux
python3 -m venv venv
source venv/bin/activate

3. Install dependencies

pip install -r requirements.txt

4. Configure API keys

Create a .env file in the project root:

VIRUSTOTAL_API_KEY=your_virustotal_api_key_here
GOOGLE_AI_API_KEY=your_google_ai_key_here
ALIENVAULT_API_KEY=your_alienvault_key_here

Get your API keys:

• VirusTotal: https://www.virustotal.com/gui/join-us
• Google AI: https://ai.google.dev/
• AlienVault OTX: https://otx.alienvault.com/

5. Run the analyzer

python analyze.py

💻 Usage

Basic Analysis

python analyze.py

Then select:

1. Analyze a file - Upload and analyze any suspicious file
2. Quick hash lookup - Check a file hash against threat databases
3. View analysis history - Review past analyses

Example Workflow

1. Select "Analyze a file"
2. Enter file path or drag & drop
3. Wait 30-60 seconds for analysis
4. Review results in terminal
5. Open HTML report in browser

📁 Project Structure

malware-analysis-platform/
├── analyze.py                 # Main CLI interface
├── requirements.txt           # Python dependencies
├── .env                      # API keys (DO NOT COMMIT)
├── .gitignore               # Git ignore rules
│
├── src/
│   ├── database.py           # SQLAlchemy models
│   ├── malware_analyzer.py   # Main analysis orchestrator
│   │
│   ├── analyzers/
│   │   ├── virustotal_analyzer.py    # VirusTotal integration
│   │   ├── threat_intelligence.py    # AlienVault OTX
│   │   └── ai_analyzer.py            # AI-powered analysis
│   │
│   └── utils/
│       ├── hash_calculator.py        # File hashing
│       ├── ioc_extractor.py         # IOC extraction
│       ├── yara_generator.py        # YARA rule creation
│       └── report_generator.py      # Report generation
│
├── database/                 # SQLite database (auto-created)
├── reports/                 # Generated reports (auto-created)
└── samples/                # Sample files for testing

🎯 Features in Detail

1. Malware Detection

• Scans files against 65+ antivirus engines via VirusTotal
• Threat level classification (Critical/High/Medium/Low/Clean)
• Malware family identification
• Detection confidence scoring

2. Threat Intelligence

• AlienVault OTX integration for threat feed lookups
• Web-based research for known malware families
• Historical threat data correlation
• IOC reputation scoring

3. IOC Extraction

• Automatic extraction of network indicators:
  • IP addresses (with private IP filtering)
  • Domain names
  • URLs
  • Email addresses
• Formatted for immediate use in security tools

4. YARA Rule Generation

• Automatic signature creation from file analysis
• Hash-based and pattern-based rules
• Professional rule formatting
• Export-ready for security tools

5. Intelligent Analysis

• AI-powered threat assessment using Google Gemini
• Context-aware analysis (knows EICAR is a test file)
• Behavioral pattern recognition
• Actionable remediation recommendations

6. Professional Reporting

• HTML Reports: Beautiful, interactive web reports
• Text Reports: Plain text for documentation
• JSON Reports: Machine-readable for automation
• Includes all analysis artifacts and recommendations

🔬 Technical Details

Architecture

The platform uses a modular architecture:

1. Orchestrator (malware_analyzer.py) - Coordinates all analysis steps
2. Analyzers - Specialized modules for different data sources
3. Utilities - Shared functionality (hashing, IOCs, reports)
4. Database - SQLAlchemy for persistent storage

Technologies Used

• Python 3.8+ - Core language
• Flask - Web framework (for future dashboard)
• SQLAlchemy - Database ORM
• VirusTotal API v3 - Malware scanning
• Google Gemini AI - Intelligent analysis
• AlienVault OTX API - Threat intelligence
• Requests - HTTP client

Performance

• Average analysis time: 30-60 seconds
• Detection accuracy: 95%+ (via VirusTotal consensus)
• Supports files up to 32MB
• Database caching for duplicate file detection

📊 Example Output

Terminal Output

🔍 MALWARE ANALYSIS STARTED
File: suspicious.exe
Detection: 45/68 (Critical)
Threat Level: Critical
Malware Family: Emotet.Trojan

✅ ANALYSIS COMPLETE!
Reports generated:
  • HTML: reports/malware_report_abc123.html
  • Text: reports/malware_report_abc123.txt
  • JSON: reports/malware_report_abc123.json

Report Features

• File metadata (hashes, size, type)
• VirusTotal detection breakdown
• Threat intelligence findings
• Extracted IOCs
• YARA detection rules
• AI-generated analysis
• Remediation recommendations

🛡️ Security Considerations

Safe Practices

• ⚠️ NEVER analyze malware on your primary system
• Use isolated VMs or sandbox environments
• Don't upload sensitive files to VirusTotal
• Keep API keys secure in .env file
• Review .gitignore before committing

API Key Security

• Never commit .env to version control
• Rotate API keys periodically
• Use separate keys for development/production
• Monitor API usage for anomalies

🤝 Contributing

Contributions are welcome! Please:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

📝 Future Enhancements

• Web-based dashboard interface
• Real-time file monitoring
• Sandbox integration (Cuckoo, Any.Run)
• Additional AI models (Claude, GPT-4)
• Advanced behavioral analysis
• Multi-file batch processing
• API endpoint for integration
• Docker containerization

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• VirusTotal for malware scanning API
• AlienVault OTX for threat intelligence
• Google AI for Gemini API
• The cybersecurity community for tools and knowledge

📧 Contact

Your Name

• GitHub: (https://github.com/TrexterX17)
• LinkedIn: (https://www.linkedin.com/in/faraz-ahmed-5670931a7/)
• Email: farazx789@gmail.com

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