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Python Digital Forensics Cookbook

You're reading from   Python Digital Forensics Cookbook Effective Python recipes for digital investigations

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Length 412 pages
Edition 1st Edition
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Authors (2):
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Chapin Bryce Chapin Bryce
Author Profile Icon Chapin Bryce
Chapin Bryce
Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
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Table of Contents (11) Chapters Close

Preface 1. Essential Scripting and File Information Recipes FREE CHAPTER 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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