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Python Digital Forensics Cookbook

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
Concepts
Authors (2):
Chapin Bryce Chapin Bryce
Profile icon Chapin Bryce
Preston Miller Preston Miller
Profile icon Preston Miller
View More author details

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

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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