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Learning Malware Analysis

You're reading from   Learning Malware Analysis Explore the concepts, tools, and techniques to analyze and investigate Windows malware

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Product type Paperback
Published in Jun 2018
Publisher
ISBN-13 9781788392501
Length 510 pages
Edition 1st Edition
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Author (1):
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Monnappa K A Monnappa K A
Author Profile Icon Monnappa K A
Monnappa K A
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Malware Analysis FREE CHAPTER 2. Static Analysis 3. Dynamic Analysis 4. Assembly Language and Disassembly Primer 5. Disassembly Using IDA 6. Debugging Malicious Binaries 7. Malware Functionalities and Persistence 8. Code Injection and Hooking 9. Malware Obfuscation Techniques 10. Hunting Malware Using Memory Forensics 11. Detecting Advanced Malware Using Memory Forensics 12. Other Books You May Enjoy

3. Volatility Overview


Once you acquire the memory of an infected system, the next step is to analyze the acquired memory image. Volatility (http://www.volatilityfoundation.org/releases) is an open source advanced memory forensics framework written in Python that allows you to analyze and extract digital artifacts from the memory image. Volatility can run on various platforms (Windows, macOS, and Linux), and it supports analysis of memory from 32-bit and 64-bit versions of Windows, macOS, and Linux operating systems.

3.1 Installing Volatility

Volatility is distributed in several formats, and it can be downloaded from http://www.volatilityfoundation.org/releases. At the time of writing this book, the latest version of Volatility is version 2.6. Depending on the operating system that you intend to run Volatility on, follow the installation procedure for the appropriate operating system.

3.1.1 Volatility Standalone Executable

The fastest way to get started with Volatility is to use the standalone...

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