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============================================================================
Volatility 3: The volatile memory extraction framework
============================================================================
Volatility is the worlds most widely used framework for extracting digital
artifacts from volatile memory (RAM) samples. The extraction techniques are
performed completely independent of the system being investigated but offer
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.
In 2019, the Volatility Foundation released a complete rewrite of the
framework, Volatility 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 Volatility 3 could be released under a custom
license that was more aligned with the goals of the Volatility community,
the Volatility Contributors Public License (VCPL). See the LICENSE file for
more details.
Requirements
============
- Python 3.5.3 or later. http://www.python.org
- Pefile 2017.8.1 or later. https://pypi.org/project/pefile/
Optional Dependencies
=====================
- yara-python 3.8.0 or later. https://github.com/VirusTotal/yara-python
- capstone 3.0.0 or later. https://www.capstone-engine.org/download.html
Downloading Volatility
======================
The latest stable version of Volatility will always be the master
branch of the GitHub repository. You can get the latest version of
the code using the following command:
git clone https://github.com/volatilityfoundation/volatility3.git
Quick Start
===========
1. Clone the latest version of Volatility from GitHub:
git clone https://github.com/volatilityfoundation/volatility3.git
2. To see available options, run "python vol.py -h"
3. To get more information on a Windows memory sample and to make sure
Volatility supports that sample type, run
'python -f <imagepath> windows.info
Example:
$ python vol.py —f /home/user/samples/stuxnet.vmem 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 "python vol.py <plugin> -h"
for more information on a particular command.
Licensing and Copyright
=======================
Copyright (C) 2007-2019 Volatility Foundation
All Rights Reserved
THE LICENSED WORK IS PROVIDED UNDER THE TERMS OF THE Volatility Contributors
Public License V1.0("LICENSE") AS FIRST COMPLETED BY: Volatility Foundation,
Inc. ANY USE, PUBLIC DISPLAY, PUBLIC PERFORMANCE, REPRODUCTION OR DISTRIBUTION
OF, OR PREPARATION OF SUBSEQUENT WORKS, DERIVATIVE WORKS OR DERIVED WORKS BASED
ON, THE LICENSED WORK CONSTITUTES RECIPIENT'S ACCEPTANCE OF THIS LICENSE AND
ITS TERMS, WHETHER OR NOT SUCH RECIPIENT READS THE TERMS OF THE LICENSE.
"LICENSED WORK,” “RECIPIENT" AND “DISTRIBUTOR" ARE DEFINED IN THE LICENSE. A
COPY OF THE LICENSE IS LOCATED IN THE TEXT FILE ENTITLED "LICENSE.txt"
ACCOMPANYING THE CONTENTS OF THIS FILE. IF A COPY OF THE LICENSE DOES NOT
ACCOMPANY THIS FILE, A COPY OF THE LICENSE MAY ALSO BE OBTAINED AT THE
FOLLOWING WEB SITE:
https://www.volatilityfoundation.org/license
Bugs and Support
================
If you think you've found a bug, please report it at:
https://github.com/volatilityfoundation/volatility3/issues
In order to help us solve your issues as quickly as possible,
please include the following information when filing a bug:
* The version of Volatility you're using
* The operating system used to run Volatility
* The version of Python used to run Volatility
* The suspected operating system of the memory sample
* The complete command line you used to run Volatility
Contact
=======
For information or requests, contact:
Volatility Foundation
Web: http://www.volatilityfoundation.org
http://volatility-labs.blogspot.com
Email: volatility (at) volatilityfoundation (dot) org
Twitter: @volatility