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Back to mkorman90/volatilitybot

Open-source alternatives to VolatilityBot

10 open-source projects similar to mkorman90/volatilitybot, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best VolatilityBot alternative.

  • 504ensicslabs/lime504ensicsLabs avatar

    504ensicsLabs/LiME

    1,995View on GitHub↗

    LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition, which allows it to produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisitio

    C
    View on GitHub↗1,995
  • aim4r/voldiffaim4r avatar

    aim4r/VolDiff

    195View on GitHub↗

    VolDiff: Malware Memory Footprint Analysis based on Volatility

    Python
    View on GitHub↗195
  • jameshabben/evolveJamesHabben avatar

    JamesHabben/evolve

    259View on GitHub↗

    Web interface for the Volatility Memory Forensics Framework

    JavaScript
    View on GitHub↗259
  • jpcertcc/malconfscanJPCERTCC avatar

    JPCERTCC/MalConfScan

    497View on GitHub↗

    Volatility plugin for extracts configuration data of known malware

    Python
    View on GitHub↗497
  • ldo-cert/orochiLDO-CERT avatar

    LDO-CERT/orochi

    269View on GitHub↗

    The Volatility Collaborative GUI

    JavaScript
    View on GitHub↗269

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  • microsoft/avmlmicrosoft avatar

    microsoft/avml

    1,098View on GitHub↗

    AVML - Acquire Volatile Memory for Linux

    Rust
    View on GitHub↗1,098
  • shanek2/invtero.netShaneK2 avatar

    ShaneK2/inVtero.net

    296View on GitHub↗

    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

    C#
    View on GitHub↗296
  • ufrisk/memprocfsufrisk avatar

    ufrisk/MemProcFS

    4,202View on GitHub↗

    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

    C
    View on GitHub↗4,202
  • volatilityfoundation/volatilityvolatilityfoundation avatar

    volatilityfoundation/volatility

    7,971View on GitHub↗

    Volatility is a memory forensics framework and digital forensics tool designed to extract and analyze evidence from volatile computer memory dumps. It functions as a memory dump parser and analysis platform used to identify running processes, network connections, and loaded modules from a system RAM capture. The framework enables the reconstruction of system state to uncover malicious activity, such as rootkits and injected code, during malware incident response and threat hunting. It provides capabilities for digital forensic investigations to detect unauthorized access and indicators of com

    Pythonmalwarememorypython
    View on GitHub↗7,971
  • volatilityfoundation/volatility3volatilityfoundation avatar

    volatilityfoundation/volatility3

    4,192View on GitHub↗

    Volatility3 is a memory forensics framework and analysis tool used to parse volatile memory dumps. It extracts digital artifacts and reconstructs the runtime state of a system to recover process information, network artifacts, and other forensic evidence. The system functions as a plugin-based forensic engine and an operating system symbol resolver. It maps raw memory addresses to known system structures using symbol tables and translation layers, and provides an extensible architecture for creating custom scanners and renderers. The framework includes a command-line memory explorer for real

    Python
    View on GitHub↗4,192