Volatility
Enables memory forensics analysis using natural language by integrating the Volatility 3 framework with Large Language Models (LLMs) through the Model Context Protocol (MCP).
About
This tool bridges the gap between the Volatility 3 Framework and Large Language Models (LLMs) using the Model Context Protocol (MCP). It allows users to perform memory forensics analysis via natural language by exposing Volatility plugins as MCP tools. By enabling investigators to analyze memory dumps using simple natural language instead of complex commands, this tool helps reduce the technical expertise needed for memory forensics, accelerate the analysis process through automation, and ultimately improve cybersecurity response.
Key Features
- Allows running custom Volatility plugins
- Provides memory dump discovery
- Facilitates process, network, and DLL analysis
- Enables natural language memory forensics
- 9 GitHub stars
- Aids in malware detection and file object scanning
Use Cases
- Investigating suspicious processes and network connections
- Streamlining memory forensics workflows with natural language queries
- Hunting for malware and code injection in memory dumps
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