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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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Toc

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

Searching high and low

Recipe difficulty: Hard

Python version: 2.7

Operating system: Linux

Most modern operating systems maintain an index of files and other data content stored on the system. These indexes allow for more efficient searches across file formats, emails, and other content found on the system's volumes. On Windows, such an index is found in the Windows.edb file. This database is stored in the Extensible Storage Engine (ESE) file format and found within the ProgramData directory. We will leverage another library from the libyal project to parse this file to extract information about the indexed content on the system.

Getting started

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

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