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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

Interpreting the daily.out log

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

Operating system logs generally reflect events for software, hardware, and services on the system. These details can assist us in our investigations as we look into an event, such as the use of removable devices. One example of a log that can prove useful in identifying this activity is daily.out log found on macOS systems. This log records a lot of information, including what drives are connected to the machine and the amount of storage available and used daily. While we can also learn about shutdown times, network states, and other information from this log, we will focus on drive usage over time.

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