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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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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

Identifying gaps in SQLite databases

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

This recipe will demonstrate how to programmatically identify missing entries for a given table by using its primary key. This technique allows us to identify records that are no longer active in the database. We will use this to identify which and how many messages have been deleted from an iPhone SMS database. This, however, will work with any table that uses an auto-incrementing primary key.

To learn more about SQLite tables and primary keys, visit https://www.sqlite.org/lang_createtable.html.

One fundamental idea governing SQLite databases and their tables are primary keys. A primary key is typically a column that serves as a unique integer for a particular row in the table. A common implementation is the auto-incrementing primary key, starting typically at 1 for the...

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