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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

Dissecting the SRUM database

Recipe Difficulty: Hard

Python Version: 2.7

Operating System: Linux

With the major release of popular operating systems, everyone in the cyber community gets excited (or worried) about the potential new artifacts and changes to existing artifacts. With the advent of Windows 10, we saw a few changes (such as the MAM compression of prefetch files) and new artifacts as well. One of these artifacts is the System Resource Usage Monitor (SRUM), which can retain execution and network activity for applications. This includes information such as when a connection was established by a given application and how many bytes were sent and received by this application. Obviously, this can be very useful in a number of different scenarios. Imagine having this information on hand with a disgruntled employee who uploads many gigabytes of data on their last day using...

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