Difference between pages "Volatility Framework" and "Template:Incident response"

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{{Infobox_Software |
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[[Category:Incident Response]][[:Category:Incident Response|Incident Response]]
  name = Volatility |
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  maintainer = [[AAron Walters]] |
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  os = {{Cross-platform}} |
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  genre = {{Memory analysis}} |
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  license = {{GPL}} |
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  website = [https://www.volatilesystems.com/default/volatility https://www.volatilesystems.com/] |
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}}
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The '''Volatility Framework''' is a completely open collection of tools, implemented in Python under the GNU General Public License, 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.
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The project was originally developed by and is now headed up by [[AAron Walters]] of [[Volatile Systems]].
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== Plugins ==
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See: [[List of Volatility Plugins]]
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== Memory acquisition drivers ==
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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.
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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.
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== See Also ==
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* [[List of Volatility Plugins]]
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== External Links ==
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* [https://www.volatilesystems.com/default/volatility Official web site]
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* [http://code.google.com/p/volatility/ Code repository], direct link to [http://code.google.com/p/volatility/source/browse/ source]
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* [http://code.google.com/p/volatility/w/list Volatility Documentation]
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Latest revision as of 14:25, 12 January 2014

Incident Response