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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

Handling SQLite databases

Recipe Difficulty: Easy

Python Version: 3.5

Operating System: Any

As discussed, SQLite databases serve as the primary data repository on mobile devices. Python has a built-in library, sqlite3, which can be used to interface with these databases. In this script, we will interact with the iPhone sms.db file and extract data from the message table. We will also use this script as an opportunity to introduce the csv library and write the message data to a spreadsheet.

To learn more about the sqlite3 library, visit https://docs.python.org/3/library/sqlite3.html.

Getting started

All libraries used in this script are present in Python's standard library. For this script, make sure to have an sms.db...

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