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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

Gathering user activity

Recipe Difficulty: Medium

Python Version: 2.7

Operating System: Linux

Windows stores a plethora of information about user activity, and like other registry hives, the NTUSER.DAT file is a great resource to be relied upon during an investigation. This hive lives within each user's profile and stores information and configurations as they relate to the specific user's on the system.

In this recipe, we cover multiple keys within NTUSER.DAT that throw light on the actions of a user on a system. This includes the prior searches run in Windows Explorer, paths typed into Explorer's navigation bar, and the recently used statements in the Windows run command. These artifacts better illustrate how the user interacted with the system and may give insight into what normal, or abnormal, usage of the system looked like for the user.

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