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volatilityfoundation/volatilityArchived

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7,971 stars·1,343 forks·Python·gpl-2.0·25 viewsvolatilityfoundation.org↗

Volatility

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 compromise that may not be present on physical disks.

The system utilizes a plugin-based analysis pipeline and symbol-based structure mapping to interpret raw binary images. It employs address-space translation and profile-driven offset resolution to locate and map operating system data structures within a raw memory dump.

Features

  • Digital Forensics - Provides a comprehensive framework for examining system artifacts, network connections, and running processes during security investigations.
  • Memory Analysis - Examines system RAM to identify running processes, network connections, and loaded modules.
  • Threat Hunting Tools - Searches volatile data for indicators of compromise and behavioral patterns associated with advanced persistent threats.
  • Memory Dump Parsers - Ships a set of plugins for interpreting raw binary memory images across various operating systems and kernel versions.
  • Incident Response - Analyzes memory dumps to detect hidden threats, rootkits, and injected code not present on disk.
  • Memory Forensics - Extracts data from active memory to uncover hidden evidence for digital forensic investigations.
  • Analysis Plugin Frameworks - Utilizes a plugin-based framework for executing isolated analysis modules to extract forensic artifacts.
  • OS - Reconstructs a snapshot of the machine's system state at the time a memory image was captured.
  • Memory Model Abstractions - Wraps raw memory images in abstraction layers to simulate various operating system memory models and hardware architectures.
  • Direct Memory Access - Provides capabilities to read raw binary data from memory dumps as a contiguous byte stream.
  • Memory Offset Calculators - Determines the exact memory positions of kernel objects and system structures using predefined OS profiles.
  • Virtual Address Translators - Implements translation of virtual memory addresses to physical offsets using page tables to locate data within raw dumps.
  • OS Structure Mappings - Maps known operating system data structure definitions onto raw memory bytes to interpret memory content.
  • Memory Forensics - Standard framework for memory forensic investigation.
  • Dynamic Analysis and Debugging - Advanced memory forensics and analysis framework.
  • Development Libraries - Advanced memory forensics framework for analyzing RAM dumps.
  • Dynamic Analysis - Advanced memory forensics framework for incident response.
  • Dynamic Analysis Tools - An advanced framework for memory forensics and analysis.
  • Digital Forensics - Framework for memory extraction and analysis.
  • Forensics Analysis - Framework for investigating memory dumps.
  • Memory Analysis Tools - Advanced framework for memory forensics and artifact extraction.
  • Memory Forensics - Standard framework for memory forensic investigations.
  • Security And Privacy - Memory forensics framework.

Star history

Star history chart for volatilityfoundation/volatilityStar history chart for volatilityfoundation/volatility

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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Projects sharing features with Volatility

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

    Rurik/Noriben

    1,273View on GitHub↗

    Noriben - Portable, Simple, Malware Analysis Sandbox

    Python
    View on GitHub↗1,273
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Frequently asked questions

What does volatilityfoundation/volatility do?

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.

What are the main features of volatilityfoundation/volatility?

The main features of volatilityfoundation/volatility are: Digital Forensics, Memory Analysis, Threat Hunting Tools, Memory Dump Parsers, Incident Response, Memory Forensics, Analysis Plugin Frameworks, OS.

Which projects share features with volatilityfoundation/volatility?

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… 504ensicslabs/lime — LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and… volatilityfoundation/volatility3 — Volatility3 is a memory forensics framework and analysis tool used to parse volatile memory dumps. It extracts digital… rurik/noriben — Noriben - Portable, Simple, Malware Analysis Sandbox. ufrisk/pcileech — pcileech is a toolkit for executing DMA attacks, analyzing PCIe bus traffic, performing kernel patching, and… velocidex/velociraptor — Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and…