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Project Summary

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 visibilty 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.

Tags

forensics framework memory python security volatile volatility

In a Nutshell, Volatility...

GNU General Public License v2.0 or later
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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Python
99%
5 Other
1%

30 Day Summary

Apr 10 2016 — May 10 2016

12 Month Summary

May 10 2015 — May 10 2016
  • 250 Commits
    Down -471 (65%) from previous 12 months
  • 20 Contributors
    Down 0 (0%) from previous 12 months

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