Volatility
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MemLabs provides CTF-styled memory forensics challenges designed to teach students and security researchers how to analyze memory dumps using tools like Volatility.
VolatilityBot automates memory dump analysis by extracting executables, detecting code injections, and performing automated malware scanning using YARA and ClamAV.
Web interface for the Volatility Memory Analysis framework with advanced features.
Python tool for remotely or locally dumping RAM of a Linux client for digital forensics analysis.
Rekall is a discontinued project that aimed to improve memory analysis methodology but faced challenges due to the nature of in-memory structure and increasing security measures.
CIRTKit is a DFIR console built on the Viper Framework that integrates various forensic tools and provides modules for packet analysis, memory analysis, and automated incident response workflows.
Orochi is a collaborative forensic memory dump analysis framework.
Web interface for the Volatility Memory Forensics Framework
A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.