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Python Digital Forensics Cookbook

You're reading from  Python Digital Forensics Cookbook

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Chapin Bryce Chapin Bryce
Profile icon Chapin Bryce
Preston Miller Preston Miller
Profile icon Preston Miller
View More author details

Table of Contents (11) Chapters

Preface 1. Essential Scripting and File Information Recipes 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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