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Python Digital Forensics Cookbook

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

Miller

View More author details

Table of Contents (18) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Dedication

Preface

1. Essential Scripting and File Information Recipes

2. Creating Artifact Report Recipes FREE CHAPTER

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

Visualizing events with Excel

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

Let's take it one step further from the previous recipe with Excel. Excel is a very robust spreadsheet application and we can do a lot with it. We will use Excel to create a table and plot graphs of the data.

Getting started

There are a number of different Python libraries with varying support for Excel and its many features. In this recipe, we use the xlsxwriter module to create a table and graph of the data. This module can be used for much more than that. This module can be installed by pip using the following command:

pip install xlsxwriter==0.9.9

Note

To learn more about the xlsxwriter library, visit https://xlsxwriter.readthedocs.io/.

We also use a custom utilcsv module that we wrote based on the previous recipe to handle interactions with CSVs. All other libraries used in this script are present in Python's standard library.

How to do it...

We create an Excel spreadsheet via the following steps...

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Python Digital Forensics Cookbook

Published in: Sep 2017

Publisher: Packt

ISBN-13: 9781783987467

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Authors (2)

Chapin Bryce

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.

See other products by Chapin Bryce

Miller

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.

See other products by Miller

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