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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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Toc

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

Coming into contact with IEF

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

We can take further advantage of the IEF results in the SQLite database by manipulating and gleaning, even more, information from artifacts that IEF does not necessarily support. This can be particularly important when new artifacts are discovered and are unsupported. As the internet, and many businesses using the internet change constantly, it is unrealistic for software to keep up with every new artifact. In this case, we will look at cached Yahoo Mail contacts that get stored on the local system as a byproduct of using Yahoo Mail.

Getting started

All libraries used in this script are present in Python's standard library...

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