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You're reading from Python Digital Forensics Cookbook Effective Python recipes for digital investigations

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781783987467

Length 412 pages

Edition 1st Edition

Languages

Python

Tools

SQLite

Concepts

Forensics

Authors (2):

Chapin Bryce

Preston Miller

View More author details

Table of Contents (11) Chapters

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

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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Authors (2)

Chapin Bryce

Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

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Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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