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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

When an investigation comes down to just a few files of interest, it is critical to extract every piece of available information about the file. Embedded metadata, often overlooked, can provide us with crucial information that solidifies the evidentiary value of a given file. Whether it is gathering authorship information from Microsoft Office files, mapping GPS coordinates from pictures, or extracting compilation information from executables, we can learn a lot more about files we are investigating. In this chapter, we will develop scripts to examine these file formats, and others, to extract key information for our review. We will illustrate how to integrate these recipes with EnCase, the popular forensic suite, and add them to your investigative workflow.

In particular, we will develop code that highlights the following:

  • Parsing ID3 and QuickTime-formatted metadata...
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