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Digital Forensics and Incident Response

You're reading from   Digital Forensics and Incident Response Incident response techniques and procedures to respond to modern cyber threats

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Product type Paperback
Published in Jan 2020
Publisher
ISBN-13 9781838649005
Length 448 pages
Edition 2nd Edition
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Author (1):
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Gerard Johansen Gerard Johansen
Author Profile Icon Gerard Johansen
Gerard Johansen
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Foundations of Incident Response and Digital Forensics
2. Understanding Incident Response FREE CHAPTER 3. Managing Cyber Incidents 4. Fundamentals of Digital Forensics 5. Section 2: Evidence Acquisition
6. Collecting Network Evidence 7. Acquiring Host-Based Evidence 8. Forensic Imaging 9. Section 3: Analyzing Evidence
10. Analyzing Network Evidence 11. Analyzing System Memory 12. Analyzing System Storage 13. Analyzing Log Files 14. Writing the Incident Report 15. Section 4: Specialist Topics
16. Malware Analysis for Incident Response 17. Leveraging Threat Intelligence 18. Hunting for Threats 19. Assessment 20. Other Books You May Enjoy Appendix

Memory analysis with Volatility

Volatility is an advanced open source memory forensics framework. The primary tool within the framework is the Volatility Python script, which utilizes a wide array of plugins to perform the analysis of memory images. As a result, Volatility can be run on any operating system that supports Python. In addition, Volatility can be utilized against memory image files from most of the commonly distributed operating systems, including Windows for Windows XP to Windows Server 2016, macOS, and finally, common Linux distributions.

There is a range of plugins available for Volatility with more being developed. For the purposes of examining system memory, several plugins will be examined to ensure that the responder has sufficient information to conduct a proper analysis. It is recommended though that, prior to using Volatility, the analyst ensures that software...

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