YaraFlux
Enables AI assistants to perform YARA rule-based threat analysis through the Model Context Protocol.
About
YaraFlux enables AI assistants to perform YARA rule-based threat analysis through a standardized Model Context Protocol interface. By integrating YARA scanning with modern AI assistants, it supports comprehensive rule management, secure scanning, and detailed result analysis through a modular architecture. It provides a suite of tools for managing YARA rules, scanning URLs and file content, analyzing files, and managing storage, ensuring a secure and efficient threat analysis workflow within AI-driven environments.
Key Features
- Secure file analysis with hex view and string extraction
- Modular architecture with clear separation of concerns
- Comprehensive YARA scanning capabilities
- 9 GitHub stars
- Rule management features (create, read, update, delete)
- Integration with the Model Context Protocol (MCP)
Use Cases
- File scanning for malicious content using AI workflows
- YARA rule management and validation
- Automated threat analysis in AI assistants
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