You're reading from Python Digital Forensics Cookbook

Product type Book

Published in Sep 2017

Publisher Packt

ISBN-13 9781783987467

Pages 412 pages

Edition 1st Edition

Languages

Python

Concepts

Forensics

Authors (2):

Chapin Bryce

Preston Miller

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Table of Contents (11) Chapters

Preface

1. Essential Scripting and File Information Recipes

2. Creating Artifact Report Recipes

3. A Deep Dive into Mobile Forensic Recipes

4. Extracting Embedded Metadata Recipes

5. Networking and Indicators of Compromise Recipes

6. Reading Emails and Taking Names Recipes

7. Log-Based Artifact Recipes

8. Working with Forensic Evidence Container Recipes

9. Exploring Windows Forensic Artifacts Recipes - Part I

10. Exploring Windows Forensic Artifacts Recipes - Part II

Introduction

The Sleuth Kit, and its Python bindings pytsk3, is perhaps the most well-known Python forensic library. This library offers rich support for accessing and manipulating filesystems. And with the help of supporting libraries, such as pyewf, they can be used to work with common forensic containers such as EnCase's popular E01 format. Without these libraries (and many others), we would be inherently more limited by what can be accomplished with Python in forensics. Due to its lofty goal as an all-in-one filesystem analysis tool, pytsk3 is perhaps the most complicated library we will work with in this book.

For this reason, we have dedicated a number of recipes exploring the fundamentals of this library. Up to this point, recipes have been mainly focused on loose file support. That convention ends here. We will routinely use this library going forward to interact...

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Authors (2)

Chapin Bryce

Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

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Preston Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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