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You're reading from Python Digital Forensics Cookbook Effective Python recipes for digital investigations

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781783987467

Length 412 pages

Edition 1st Edition

Languages

Python

Tools

SQLite

Concepts

Forensics

Authors (2):

Chapin Bryce

Preston Miller

View More author details

Table of Contents (11) Chapters

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

Indexing internet history

Recipe Difficulty: Medium

Python Version: 2.7

Operating System: Linux

Internet history can be invaluable during an investigation. These records can give insight into a user's thought process and provide context around other user activity occurring on the system. Microsoft has been persistent in getting users to use Internet Explorer as their browser of choice. As a result, it is not uncommon to see internet history information present in index.dat files used by Internet Explorer. In this recipe, we scour the evidence file for these index.dat files and attempt to process them using pymsiecf.

Getting started

This recipe requires the installation of four third-party modules to function: pytsk3,...

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Authors (2)

Chapin Bryce

Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

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Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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