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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

Extracting audio and video metadata

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

Audio and video files are common file formats that make use of embedded metadata. This information, for example, is used by your preferred media player to show the artist, album, and track name information of the content you import. Though the majority of this information is standard and focused on providing information to the listener, we sometimes find important details in this area of the file. We begin our exploration of embedded metadata with the extraction of the common attributes from audio and video files.

Getting started

This recipe requires the installation of the third-party library mutagen. All other libraries...

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