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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

Going hunting for viruses

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

VirusShare is the largest privately owned collection of malware samples, with over 29.3 million samples and counting. One of the great benefits of VirusShare, besides the literal cornucopia of malware that is every malware researcher's dream, is the list of malware hashes which is made freely available. We can use these hashes to a create a very comprehensive hash set and leverage that in casework to identify potentially malicious files.

To learn more about and use VirusShare, visit the website https://virusshare.com/.

In this recipe, we demonstrate how to automate downloading lists of hashes from VirusShare to create a newline-delimited hash list. This list can be used by forensic tools, such as X-Ways, to create a HashSet. Other forensic tools, EnCase, for example, can use this...

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