How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Web interface for the Volatility Memory Forensics Framework
The main features of jameshabben/evolve are: Memory Analysis Tools, Memory Forensics.
Projects with overlapping indexed features include: ufrisk/memprocfs — MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory… volatilityfoundation/volatility — Volatility is a memory forensics framework and digital forensics tool designed to extract and analyze evidence from… ldo-cert/orochi — The Volatility Collaborative GUI. shanek2/invtero.net — inVtero.net: A high speed (Gbps) Forensics, Memory integrity & assurance. Includes offensive & defensive memory… aim4r/voldiff — VolDiff: Malware Memory Footprint Analysis based on Volatility. zardus/ctf-tools — This project is a security tool installation framework and binary analysis toolkit designed to automate the deployment…
inVtero.net: A high speed (Gbps) Forensics, Memory integrity & assurance. Includes offensive & defensive memory capabilities. Find/Extract processes, hypervisors (including nested) in memory dumps using microarchitechture independent Virtual Machiene Introspection techniques
MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory forensic virtual file system, mapping physical memory and kernel objects into a virtual directory structure that allows users to analyze system artifacts using standard file system tools. The project distinguishes itself by providing a virtual file system for memory forensics, enabling the browsing and querying of physical memory as read-only files and folders. It also incorporates a Yara-based memory scanner to identify malware signatures and injected code within physical memor
