Difference between pages "HBGary Responder Professional" and "Volatility Framework"
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| + | {{Infobox_Software | | ||
| + | name = Volatility | | ||
| + | maintainer = [[AAron Walters]] | | ||
| + | os = {{Cross-platform}} | | ||
| + | genre = [[Memory analysis]] | | ||
| + | license = {{GPL}} | | ||
| + | website = [https://www.volatilesystems.com/default/volatility https://www.volatilesystems.com/] | | ||
| + | }} | ||
| − | ''' | + | 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. |
| − | + | The project was originally developed by and is now headed up by [[AAron Walters]] of [[Volatile Systems]]. | |
| − | + | ||
| − | + | == See Also == | |
| + | * [[List of Volatility Plugins]] | ||
| + | |||
| + | == External Links == | ||
| + | * [https://www.volatilesystems.com/default/volatility Official web site] | ||
| + | * [http://code.google.com/p/volatility/ Code repository] | ||
| + | * [http://code.google.com/p/volatility/w/list Volatility Documentation] | ||
Revision as of 10:31, 26 October 2011
| Volatility | |
|---|---|
| Maintainer: | AAron Walters |
| OS: | Cross-platform |
| Genre: | Memory analysis |
| License: | GPL |
| Website: | https://www.volatilesystems.com/ |
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.
The project was originally developed by and is now headed up by AAron Walters of Volatile Systems.