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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

Totally passive

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

This recipe explores the PassiveTotal API and how to use it to automate the review of domains and IP addresses. This service is particularly useful in viewing historical resolution details for a given domain. For example, you may have a suspected phishing website and, based on historical resolution patterns, can identify how long it has been active and what other domains used to share that IP. This then gives you additional domains to review and search for, in your evidence as you identify the different means and methods of how the attackers maintained persistence as they compromised multiple users across the environment.

Getting started

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