Book Image

Digital Forensics with Kali Linux - Second Edition

By : Shiva V. N. Parasram
Book Image

Digital Forensics with Kali Linux - Second Edition

By: Shiva V. N. Parasram

Overview of this book

Kali Linux is a Linux-based distribution that's widely used for penetration testing and digital forensics. It has a wide range of tools to help for digital forensics investigations and incident response mechanisms. This updated second edition of Digital Forensics with Kali Linux covers the latest version of Kali Linux and The Sleuth Kit. You'll get to grips with modern techniques for analysis, extraction, and reporting using advanced tools such as FTK Imager, hex editor, and Axiom. Updated to cover digital forensics basics and advancements in the world of modern forensics, this book will also delve into the domain of operating systems. Progressing through the chapters, you'll explore various formats for file storage, including secret hiding places unseen by the end user or even the operating system. The book will also show you how to create forensic images of data and maintain integrity using hashing tools. Finally, you'll cover advanced topics such as autopsies and acquiring investigation data from networks, operating system memory, and quantum cryptography. By the end of this book, you'll have gained hands-on experience of implementing all the pillars of digital forensics: acquisition, extraction, analysis, and presentation, all using Kali Linux tools.
Table of Contents (17 chapters)
Section 1: Kali Linux – Not Just for Penetration Testing
Section 2: Forensic Fundamentals and Best Practices
Section 3: Forensic Tools in Kali Linux
Section 4: Automated Digital Forensic Suites
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Forensic test images used in Foremost and Scalpel

In this lab, we'll be using a digital forensic tool-testing image, created by Nick Mikus specifically for testing data carving tools, was used. One of the main reasons for choosing this particular image for this exercise is that Nick Mikus is listed as one of the contributing developers of foremost, as seen in the first line of foremost, which displays the version number alongside the authors', Jesse Kornblum and Kris Kendall, names. The image can be downloaded for free at

Once you've become familiar with this exercise, you can try extracting data from other images also available on the site at

Another file carving dataset that we'll use can be found at This site contains several datasets with very small images containing archives, images, audio, and video clips, as well as documents...