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JPCERTCC avatar

JPCERTCC/MalConfScan

0
View on GitHub↗
497 stars·69 forks·Python·7 views

MalConfScan

Volatility plugin for extracts configuration data of known malware

Features

  • Development And Analysis Tools - Volatility plugin for extracting malware configuration.
  • Memory Analysis Tools - Volatility plugin for extracting configuration data from known malware.

Star history

Star history chart for jpcertcc/malconfscanStar history chart for jpcertcc/malconfscan

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does jpcertcc/malconfscan do?

Volatility plugin for extracts configuration data of known malware

What are the main features of jpcertcc/malconfscan?

The main features of jpcertcc/malconfscan are: Development And Analysis Tools, Memory Analysis Tools.

What are some open-source alternatives to jpcertcc/malconfscan?

Open-source alternatives to jpcertcc/malconfscan include: 504ensicslabs/lime — LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and… abhinavbom/clara — Serverless, real-time, ClamAV+Yara scanning for your S3 Buckets. aim4r/voldiff — VolDiff: Malware Memory Footprint Analysis based on Volatility. airbnb/binaryalert — BinaryAlert: Serverless, Real-time & Retroactive Malware Detection. airbus-cert/dnyara — A multi-platform .Net wrapper library for the native Yara library. 3c7/yaramanager — Simple yara rule manager.

Open-source alternatives to MalConfScan

Similar open-source projects, ranked by how many features they share with MalConfScan.
  • 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
  • abhinavbom/claraabhinavbom avatar

    abhinavbom/clara

    34View on GitHub↗

    Serverless, real-time, ClamAV+Yara scanning for your S3 Buckets

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    View on GitHub↗34
  • aim4r/voldiffaim4r avatar

    aim4r/VolDiff

    195View on GitHub↗

    VolDiff: Malware Memory Footprint Analysis based on Volatility

    Python
    View on GitHub↗195
  • 3c7/yaramanager3c7 avatar

    3c7/yaramanager

    67View on GitHub↗

    Simple yara rule manager

    Python
    View on GitHub↗67
See all 30 alternatives to MalConfScan→