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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 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

Searching for hashes

Recipe Difficulty: Hard

Python Version: 2.7

Operating System: Linux

In this recipe, we create another triage script, this time focused on identifying files matching provided hash values. This script takes a text file containing MD5, SHA-1, or SHA-256 hashes, separated by a newline, and searches for those hashes within the evidence container. With this recipe, we will be able to quickly process evidence files, locate files of interest, and alert the user by printing the file path to the console.

Getting started

Refer to the Getting started section in the Opening Acquisitions recipe for information on the build environment and setup details for pytsk3 and pyewf. All other libraries used in this script are present in Python's standard library.

How to do it...

We use the following methodology to accomplish our objective:

Identify if the evidence container is a raw image or an E01 container.
Access the image using pytsk3.
Recurse through all directories in each partition.
Send each...

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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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