volatility3 - Volatility 3.0 development

项目说明

3: The memory extraction framework

is the world's most widely used framework for extracting digital
artifacts from memory (RAM) samples. The extraction techniques are
performed completely independent of the system being in but offer
into the runtime state of the system. The framework is intended
to introduce people to the techniques and complexities associated with
extracting digital artifacts from memory samples and provide a
platform for further work into this exciting area of research.

In 2019, the Foundation released a complete rewrite of the
framework, 3. The project was intended to address many of the
technical and performance challenges associated with the original
code base that became apparent over the previous 10 years. Another benefit
of the rewrite is that 3 could be released under a custom
license that was more aligned with the goals of the community,
the Software License (VSL). See the
LICENSE file for
more details.

Quick Start

1. Install the required dependencies:

2. See a options:

3. To get more information on a Windows memory sample and to make sure supports that sample type, run vol -f <imagepath> windows.info:

4. Run some other plugins. The -f or --single-location is not strictly required, but most plugins expect a single sample.
Some also require/accept other options. Run vol <plugin> -h for more information on a particular command.

Installing

3 requires Python 3.8.0 or later and is published on the PyPi registry.

If you want to use the latest de of 3 we recommend you manually clone this repository and install an editable of the project.
We recommend you use a en to keep installed dependencies separate from system packages.

The latest stable of will always be the stable branch of the GitHub repository. The default branch is develop.

Symbol Tables

Symbol table packs for the operating systems are a for download at:

windows.zip

mac.zip

linux.zip

The hashes to whether any of the symbol pack files ha successfully or ha can be found at:

SHA256SUMS

SHA1SUMS

MD5SUMS

Symbol tables zip files must be placed, as named, into the /symbols directory (or just the symbols directory next to the executable file).

Windows symbols that cannot be found will be queried, downloaded, generated and cached. Mac and Linux symbol tables must be manually produced by a tool such as dwarf2json.

Important: The first run of with new symbol files will require the cache to be updated. The symbol packs contain a large number of symbol files and so may take some time to update!
However, this process only needs to be run once on each new symbol file, so assuming the pack stays in the same location will not need to be done again. Please also note it can be interrupted and next run will restart itself.

Please note: These are representative and are complete up to the point of creation for Windows and Mac. Due to the ease of compiling Linux kernels and the inability to uniquely distinguish them, an exhaustive set of Linux symbol tables cannot easily be supplied.

Documentation

The framework is documented through doc strings and can be built using sphinx.

The latest generated copy of the documentation can be found at: <

Licensing and Copyright

Copyright (C) 2007-2026 Foundation

All Rights Reserved

<

Bugs and Support

If you think you' a bug, please report it at:

<

In order to help us solve your issues as quickly as possible,
please include the following information when filing a bug:

For community support, please join us on Slack:

<

Contact

For information or requests, contact:

Foundation

Web: <

Blog: <

Email: (at) (dot) org

Twitter: @

项目信息

开发语言：Python

Star 数：4460

技术要点

该项目属于病毒分析方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Volatility 3.0 development展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。