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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

What this book covers

Chapter 1, Introduction to Digital Forensics, gives an introduction to the various aspects of the science of digital forensics.

Chapter 2, Installing Kali Linux, shows how to we install, configure, and update Kali Linux. The installation process will be followed on both physical and virtual machines to the benefit of users with both single and multiple machines for running Kali Linux. Once installed, we explore the Forensics menu in Kali Linux.

Chapter 3, Understanding Filesystems and Storage Media, dives into the realm of operating systems and the various formats for file storage, including secret hiding places not seen by the end user or even the operating system. We also inspect data about the data, known as metadata, and look at its volatility.

Chapter 4, Incident Response and Data Acquisition, asks what happens when an incident is reported or detected? Who are the first responders and what are the procedures for maintaining the integrity of the evidence? In this chapter, we look at best practices and procedures in data acquisition and evidence collection.

Chapter 5Evidence Acquisition and Preservation with DC3DD and Guymager, focuses on one of the most important aspects of forensic acquisition. Learn to create forensic images of data and maintain integrity using hashing tools.

Chapter 6File Recovery and Data Carving with Foremost, Scalpel, and Bulk Extractor, states that data disappears, whether accidentally, intentionally, or just hidden from plain sight and the operating system. In this chapter, we look at two powerful tools used to perform file recovery and learn about advanced search features.

Chapter 7Memory Forensics with Volatility, states that in today's digital world we sometimes encounter scenarios that require the use of live memory forensics. Learn to use this powerful memory forensics tool to view running processes, programs, and live artifacts.

Chapter 8, Autopsy – The Sleuth Kit, introduces Autopsy which is recognized as one of the very few available tools to rival commercial forensic tools, this powerful tool takes forensic abilities and investigations to a professional level, catering for all aspects of full digital forensics investigations from hashing to reporting.

Chapter 9Network and Internet Capture Analysis with Xplico, investigates and analyzes captured network and internet traffic using this powerful tool.

Chapter 10Revealing Evidence Using DFF, shows how two tools are better than one. Use another advanced forensic framework tool to carry out full and professional digital forensics investigations, ensuring the integrity of your findings by comparing the results found.

 

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