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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

Microsoft Windows is one of the most common operating systems found on machines during forensic analysis. This has led to a large effort in the community over the past two decades to develop, share, and document artifacts deposited by this operating system for use in forensic casework.

In this chapter, we continue to look at various Windows artifacts and how to process them using Python. We will leverage the framework we developed in Chapter 8, Working with Forensic Evidence Container Recipes to process these artifacts directly from forensic acquisitions. We'll use various libyal libraries to handle the underlying processing of various files, including pyevt, pyevtx, pymsiecf, pyvshadow, and pyesedb. We'll also explore how to process prefetch files using struct and a file format table of offsets and data types of interest. Here's what we'll learn...

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