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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

Indexing internet history

Recipe Difficulty: Medium

Python Version: 2.7

Operating System: Linux

Internet history can be invaluable during an investigation. These records can give insight into a user's thought process and provide context around other user activity occurring on the system. Microsoft has been persistent in getting users to use Internet Explorer as their browser of choice. As a result, it is not uncommon to see internet history information present in index.dat files used by Internet Explorer. In this recipe, we scour the evidence file for these index.dat files and attempt to process them using pymsiecf.

Getting started

This recipe requires the installation of four third-party modules to function: pytsk3,...

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