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Digital Forensics with Kali Linux

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

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838640804
Length 334 pages
Edition 2nd Edition
Concepts
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Author (1):
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Shiva V. N. Parasram Shiva V. N. Parasram
Author Profile Icon Shiva V. N. Parasram
Shiva V. N. Parasram
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Table of Contents (17) Chapters Close

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

Digital forensics with Autopsy

Now that we have our sample image file downloaded (or perhaps even a forensically acquired image of our own), let's proceed with the analysis using the Autopsy browser by first getting acquainted with the different ways to start Autopsy.

Although the Autopsy browser is based on The Sleuth Kit, features of Autopsy differ when using the Windows version compared to the Linux version. Some of the official features offered by The Sleuth Kit and Autopsy 2.4 in Kali Linux include the following:

  • Image analysis: Analyze directories and files including sorting files, recovering deleted files, and previewing files.
  • File activity timelines: Create timelines based on the timestamps of files, when they were written, accessed, and created.
  • Image integrity: Create MD5 hashes of the image file used, as well as individual files.
  • Hash databases: Match the digital hashes or fingerprints of unknown files (such as suspected malicious .exe files...
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