DeepProbe - Memory Forensics Framework
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Updated
May 16, 2026 - Python
DeepProbe - Memory Forensics Framework
This tool takes memory image file and exports as csv input and automatically runs cross-file triage analysis to surface suspicious indicators across all major memory artifacts. It replaces the manual, plugin-by-plugin workflow with a single interactive dashboard.
AI-native MCP server for natural-language cyber incident investigation and triage across Windows, Linux, and macOS artifacts, plus Volatility3 memory forensics and Hashcat. Mount evidence, parse artifacts, trace lateral movement, correlate IOCs, and generate reports through conversation.
Memory Forensic Malware Hunting Framework using Volatility 3, YARA and Streamlit
Evidence-grounded autonomous incident response: an MCP server giving an AI agent a typed SIFT/Volatility forensic toolset where every finding traces to a cryptographically-receipted tool execution.
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