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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

Parsing PLIST files

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

This recipe will process the Info.plist file present in every iOS backup and extract device-specific information such as the device name, IMEI, serial number, product make, model, and iOS version, and the last backup date. Property lists, or PLISTs, come in two different formats: XML or binary. Typically, when dealing with binary PLISTs, one will need to use the plutil utility on a macOS platform to convert it to a readable XML format. However, we will introduce a Python library that handles both types readily and easily. Once we extract the relevant data elements from the Info.plist file, we will print this data to the console.

Getting started

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