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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

Opening acquisitions

Recipe Difficulty: Medium

Python Version: 2.7

Operating System: Linux

With pyewf and pytsk3 comes a whole new set of tools and operations we must first learn. In this recipe, we will start with the basics: opening an evidence container. This recipe supports raw and E01 images. Note that unlike our previous scripts, these recipes will use Python 2.X due to some bugs found while working with the Python 3.X version of these libraries. That said, the main logic would not differ between the two versions and could easily be ported. Before we learn to open the container, we need to set up our environment. We will explore this in the next section.

Getting started

Excluding a few scripts, we have been OS agnostic...

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