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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

Integrating our metadata extractor with EnCase

Recipe Difficulty: Medium

Python Version: 2.7 or 3.5

Operating System: Windows

The embedded metadata extracting recipes we have designed work against loose files, not with files found within a forensic image. Annoyingly, this adds an extra step in our process, requiring us to export the files of interest from the image for this type of review. We show in this recipe, how to connect our scripts to a forensic tool, EnCase, and execute them without needing to export the files from a forensic image.

Getting started

With EnCase installed, we need to create a case and add in the evidence file, as we would for any other case. This recipe demonstrates the steps required to perform this...

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