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mkorman90 avatar

mkorman90/VolatilityBot

0
View on GitHub↗
268 stars·51 forks·Python·MIT·11 views

VolatilityBot

VolatilityBot – An automated memory analyzer for malware samples and memory dumps

Features

  • Memory Analysis Tools - Automated tool for binary extraction and memory analysis tasks.

Star history

Star history chart for mkorman90/volatilitybotStar history chart for mkorman90/volatilitybot

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.

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Frequently asked questions

What does mkorman90/volatilitybot do?

VolatilityBot – An automated memory analyzer for malware samples and memory dumps

What are the main features of mkorman90/volatilitybot?

The main features of mkorman90/volatilitybot are: Memory Analysis Tools.

Which projects share features with mkorman90/volatilitybot?

Projects with overlapping indexed features include: 504ensicslabs/lime — LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and… aim4r/voldiff — VolDiff: Malware Memory Footprint Analysis based on Volatility. jameshabben/evolve — Web interface for the Volatility Memory Forensics Framework. jpcertcc/malconfscan — Volatility plugin for extracts configuration data of known malware. ldo-cert/orochi — The Volatility Collaborative GUI. microsoft/avml — AVML - Acquire Volatile Memory for Linux.

Projects sharing features with VolatilityBot

These projects share indexed features with VolatilityBot. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • 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
  • 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
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