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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 he-said-she-said game is often thrown out the window once computer evidence is added to the fray. The email plays a major role in most types of investigations. The email evidence extends to both business and personal devices, as it is widely used to send files, communicate with peers, and to receive notifications from online services. By examining email, we can learn what social media, cloud storage, or other sites are used by the custodian. We can also look for data exfiltration outside of an organization or investigate the source of a phishing scheme.

This chapter will cover recipes that expose this information for investigations, including:

  • Reading the EML format using built-in libraries
  • Leveraging the win32com library to extract information from Outlook MSG files
  • Preserving Google Gmail with Takeouts and parsing the preservation
  • Using built-in libraries to...
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