Difference between revisions of "Volatility Framework"

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* [http://code.google.com/p/volatility/source/checkout Code repository], direct link to [http://code.google.com/p/volatility/source/browse/ source]
* [http://code.google.com/p/volatility/source/checkout Code repository], direct link to [http://code.google.com/p/volatility/source/browse/ source]
* [http://code.google.com/p/volatility/w/list Volatility Documentation]
* [http://code.google.com/p/volatility/w/list Volatility Documentation]
=== Third party documentation ===
* [http://sketchymoose.blogspot.com/2011/10/set-up-to-more-memory-forensics.html Set Up to More Memory Forensics!], October 2011
* [http://www.youtube.com/watch?v=8HsZLge0wWc Using Volatility: Suspicious Process (1/2)]
* [http://www.youtube.com/watch?v=XTZPNk-Esok Using Volatility: Suspicious Process (2/2)]

Revision as of 06:35, 13 June 2015

Maintainer: AAron Walters
OS: Cross-platform
Genre: Memory Analysis
License: GPL
Website: https://code.google.com/p/volatility/

The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License (GPL v2), for the extraction of digital artifacts from volatile memory (RAM) samples. The extraction techniques are performed completely independent of the system being investigated but offer unprecedented visibility 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 volatile memory samples and provide a platform for further work into this exciting area of research.

The project was originally developed by and is now headed up by AAron Walters of Volatile Systems.


See: List of Volatility Plugins

Memory acquisition drivers

In 2012 Michael Cohen contributed both a Linux and a Windows Open Source memory (acquisition) driver to the Volatility project as part of the Technology Preview (TP) version, aka scudette branch. Since the scudette branch of Volatility has moved on as a separate project, the drivers can now be found as part of the rekall project.

See Also

External Links

Third party documentation