Licensing and Copyright
Copyright (C) 2007-2011 Volatile Systems
Copyright 2013-2014 Google Inc. All Rights Reserved.
All Rights Reserved
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
In December 2011, a new branch within the Volatility project was created to explore how to make the code base more modular, improve performance, and increase usability. The modularity allowed Volatility to be used in GRR, making memory analysis a core part of a strategy to enable remote live forensics. As a result, both GRR and Volatility would be able to use each others’ strengths.
Over time this branch has become known as the “scudette” branch or the “Technology Preview” branch. It was always a goal to try to get these changes into the main Volatility code base. But, after two years of ongoing development, the “Technology Preview” was never accepted into the Volatility trunk version.
Since it seemed unlikely these changes would be incorporated in the future, it made sense to develop the Technology Preview branch as a separate project. On December 13, 2013, the former branch was forked to create a new stand-alone project named “Rekall.” This new project incorporates changes made to streamline the codebase so that Rekall can be used as a library. Methods for memory acquisition and other outside contributions have also been included that were not in the Volatility codebase.
Rekall strives to advance the state of the art in memory analysis, implementing the best algorithms currently available and a complete memory acquisition and analysis solution for at least Windows, OSX and Linux.
The Rekall Team
The following people deserve special mention and thanks as current Rekall core contributors:
- Adam Sindelar
- Andreas Moser
- Johannes Stuettgen
- Jordi Sanchez
- Michael Cohen
- Misha Bushkov