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Digital Forensics with Kali Linux - Second Edition

You're reading from  Digital Forensics with Kali Linux - Second Edition

Product type Book
Published in Apr 2020
Publisher Packt
ISBN-13 9781838640804
Pages 334 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Shiva V. N. Parasram Shiva V. N. Parasram
Profile icon Shiva V. N. Parasram

Table of Contents (17) Chapters

Preface 1. Section 1: Kali Linux – Not Just for Penetration Testing
2. Chapter 1: Introduction to Digital Forensics 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

Chapter 7: Memory Forensics with Volatility

In the previous chapters, we looked at the various types of memory. This included RAM and the swap (or paging) file, which is an area of the hard disk drive which, although slower, functions as RAM. We also discussed the issue of RAM being volatile, meaning the data in RAM is easily lost when there is no longer an electrical charge or current to RAM. With the data on RAM being the most volatile, it ranks high in the order of volatility and must be forensically acquired and preserved as a matter of high priority.

Many types of data and forensic artifacts reside in RAM and the paging file. As discussed earlier, login passwords, user information, running and hidden processes, and even encrypted passwords are just some of the many types of interesting data that can be found when performing RAM analysis, further compounding the need for memory forensics.

In this chapter, we will look at the very powerful Volatility Framework and its many...

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