July 2014
Intermediate to advanced
912 pages
24h 5m
English
book
The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory
by AAron Walters, Jamie Levy, Andrew Case, Michael Hale Ligh
Content preview from The Art of Memory Forensics: Detecting Malware and Threats in Windows, Linux, and Mac Memory
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Chapter 3 The Volatility Framework
The Volatility Framework is a completely open collection of tools, implemented in Python under the GNU General Public License 2. Analysts use Volatility for the extraction of digital artifacts from volatile memory (RAM) samples. Because Volatility is open source and free to use, you can download the framework and begin performing advanced analysis without paying a penny. Furthermore, when it comes down to understanding how your tool works beneath the hood, nothing stands between you and the source code—you can explore and learn to your fullest potential.
This chapter covers the basic information you need to install Volatility, configure your environment, and work with the analysis plugins. It also introduces you to the benefits of using Volatility and describes some of the internal components that make the tool a true framework. Also, keep in mind that software evolves over time. Thus, the framework’s capabilities, plugins, installation considerations, and other factors may change in the future.
Why Volatility?
Before you start using Volatility, you should understand some of its unique features. As previously mentioned, Volatility is not the only memory forensics application—it was specifically designed to be different. Here are some of the reasons why it quickly became our tool of choice:
- A single, cohesive framework. Volatility analyzes memory from 32- and 64-bit Windows, Linux, Mac systems (and 32-bit Android). Volatility’s modular design ...
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