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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

What’s in the box?!

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

MBOX files are often found in association with UNIX systems, Thunderbird, and Google Takeouts. These MBOX containers are text files with special formatting that split messages stored within. Since there are several formats for structuring MBOX files, our script will focus on those from Google Takeout, using the output from the prior recipe.

Getting started

All libraries used in this script are present in Python's standard library. We use the built-in mailbox library to parse the Google Takeout structured MBOX file.

To learn more about the mailbox library, visit https://docs.python.org/3/library/mailbox.html.
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