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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

Shadow of a former self

Recipe Difficulty: Hard

Python Version: 2.7

Operating System: Linux

Volume shadow copies can contain data from files that are no longer present on the active system. This can give an examiner some historical information about how the system changed over time and what files used to exist on the computer. In this recipe, we will use the pvyshadow library to enumerate and access any volume shadow copies present in the forensic image.

Getting started

This recipe requires the installation of five third-party modules to function: pytsk3, pyewf, pyvshadow, unicodecsv, and vss. Refer to Chapter 8, Working with Forensic Evidence Container Recipes for a detailed explanation on installing the pytsk3 and pyewf...

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