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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

Parsing prefetch files

Recipe difficulty: Medium

Python version: 2.7

Operating system: Linux

Prefetch files are a common artifact to rely on for information about application execution. While they may not always be present, they are undoubtedly worth reviewing in scenarios where they exist. Recall that prefetching can be enabled to various degrees or disabled based upon the value of the PrefetchParameters subkey in the SYSTEM hive. This recipe searches for files with the prefetch extension (.pf) and processes them for valuable application information. We will only demonstrate this process for Windows XP prefetch files; however, be aware that the underlying process we use is similar to other iterations of Windows.

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