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Python Digital Forensics Cookbook

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

Miller

View More author details

Table of Contents (18) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

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

Digging deep to recover messages

Recipe Difficulty: Hard

Python Version: 3.5

Operating System: Any

Earlier in this chapter, we developed a recipe to identify missing records from a database. In this recipe, we will leverage the output from that recipe and identify recoverable records and their offset within a database. This is accomplished by understanding some internals of SQLite databases and leveraging that understanding to our advantage.

Note

For a detailed description of the SQLite file internals, review https://www.sqlite.org/fileformat.html.

With this technique, we will be able to quickly triage a database and identify recoverable messages.

When a row from a database is deleted, similar to a file, the entry is not necessarily overwritten. This entry can still persist for some time based on database activity and its allocation algorithms. Our chances for data recovery decrease when, for example, a vacuum command is triggered.

We will not get into the weeds discussing SQLite structure; suffice...

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Authors (2)

Chapin Bryce

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

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.

See other products by Miller

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