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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

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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