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Digital Forensics with Kali Linux

You're reading from  Digital Forensics with Kali Linux

Product type Book
Published in Dec 2017
Publisher Packt
ISBN-13 9781788625005
Pages 274 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Title Page
Credits
Disclaimer
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Digital Forensics 2. Installing Kali Linux 3. Understanding Filesystems and Storage Media 4. Incident Response and Data Acquisition 5. Evidence Acquisition and Preservation with DC3DD and Guymager 6. File Recovery and Data Carving with Foremost, Scalpel, and Bulk Extractor 7. Memory Forensics with Volatility 8. Autopsy – The Sleuth Kit 9. Network and Internet Capture Analysis with Xplico 10. Revealing Evidence Using DFF

About the Volatility Framework

The Volatility Framework is an open source, cross-platform, incident response framework that comes with many useful plugins that provide the investigator with a wealth of information from a snapshot of memory, also known as a memory dump. The concept of Volatility has been around for a decade, and apart from analyzing running and hidden processes, is also a very popular choice for malware analysis.

To create a memory dump, several tools such as FTK imager, CAINE, Helix, and LiME (an acronym for Linux Memory Extractor) can be used to acquire the memory image, or memory dump, and then be investigated and analyzed by the tools within the Volatility Framework.

The Volatility Framework can be run on any  operating system (32- and 64-bit) that supports Python, including:

  • Windows XP, 7, 8,8.1, and Windows 10
  • Windows Server 2003, 2008, 2012/R2, and 2016
  • Linux 2.6.11 - 4.2.3 (including Kali, Debian, Ubuntu, CentOS, and more)
  • macOS Leopard (10.5.x) and Snow Leopard (10.12...
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