You're reading from Digital Forensics with Kali Linux Perform data acquisition, data recovery, network forensics, and malware analysis with Kali Linux 2019.x

Product type Paperback

Published in Apr 2020

Publisher Packt

ISBN-13 9781838640804

Length 334 pages

Edition 2nd Edition

Tools

Kali Linux

Concepts

Forensics

Author (1):

Shiva V. N. Parasram

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Table of Contents (17) Chapters

Preface

1. Section 1: Kali Linux – Not Just for Penetration Testing

2. Chapter 1: Introduction to Digital Forensics FREE CHAPTER

3. Chapter 2: Installing Kali Linux

4. Section 2: Forensic Fundamentals and Best Practices

5. Chapter 3: Understanding Filesystems and Storage Media

6. Chapter 4: Incident Response and Data Acquisition

7. Section 3: Forensic Tools in Kali Linux

8. Chapter 5: Evidence Acquisition and Preservation with dc3dd and Guymager

9. Chapter 6: File Recovery and Data Carving with foremost, Scalpel, and bulk_extractor

10. Chapter 7: Memory Forensics with Volatility

11. Chapter 8: Artifact Analysis

12. Section 4: Automated Digital Forensic Suites

13. Chapter 9: Autopsy

14. Chapter 10: Analysis with Xplico

15. Chapter 11: Network Analysis

16. Other Books You May Enjoy

Introducing 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, it is also a very popular choice for malware analysis.

To create a memory dump, several tools, such as Belkasoft Ram Capturer, FTK Imager, DD, DC3DD, Computer Aided INvestigative Environment (CAINE), Helix, and Linux Memory Extractor (LiME), 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 the following: