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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

Reviewing executable metadata

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

During the course of an investigation, we may identify a potentially suspicious or unauthorized portable executable file. This executable may be interesting because of the time it was used on the system, its location on the system, or other attributes specific to the investigation. Whether we are investigating it as malicious software or an unauthorized utility, we need to have the capability to learn more about it.

By extracting embedded metadata from Windows executable files, we can learn about the components that make up the file. In this recipe, we will expose the compilation date, useful Indicator of Compromise (IOC) data from the section headers, and the imported and exported symbols.

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