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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

The big picture

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

Images can contain many metadata attributes, depending on the file format and the device that was used to capture the image. Fortunately, most devices will embed GPS information within the photos they take. Using third-party libraries, we will extract GPS coordinates and plot them with Google Earth. This script focuses exclusively on this task, however, the recipe can be easily tweaked to extract all embedded Exchangeable Image File Format (EXIF) metadata in JPEG and TIFF images as well.

Getting started

This recipe requires the installation of two third-party libraries: pillow and simplekml. All other libraries used in this script are...

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