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Digital Forensics with Kali Linux

Digital Forensics with Kali Linux

4.3 (11)
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Digital Forensics with Kali Linux

Digital Forensics with Kali Linux

4.3 (11)

Overview of this book

Kali Linux is a Linux-based distribution used mainly for penetration testing and digital forensics. It has a wide range of tools to help in forensics investigations and incident response mechanisms. You will start by understanding the fundamentals of digital forensics and setting up your Kali Linux environment to perform different investigation practices. The book will delve into the realm of operating systems and the various formats for file storage, including secret hiding places unseen by the end user or even the operating system. The book will also teach you to create forensic images of data and maintain integrity using hashing tools. Next, you will also master some advanced topics such as autopsies and acquiring investigation data from the network, operating system memory, and so on. The book introduces you to powerful tools that will take your forensic abilities and investigations to a professional level, catering for all aspects of full digital forensic investigations from hashing to reporting. By the end of this book, you will have had hands-on experience in implementing all the pillars of digital forensics—acquisition, extraction, analysis, and presentation using Kali Linux tools.
Table of Contents (11 chapters)
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10
Revealing Evidence Using DFF

Software version

Kali has been around for quite some time. Known previously as BackTrack, with releases from versions one to five, Kali Linux was first seen in 2015 and released as Kali 1.0. From 2016 onward, Kali was then named according to the year. For instance, at the time of writing this book, the version used was Kali 2017.2, released in September 2017.

For those running older versions of Kali, or purchasing this book at a later date where new versions of Kali Linux may be available, you can easily update your instance of Kali Linux by using the sudo apt-get update distro command, demonstrated toward the end of this chapter.

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