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Python Digital Forensics Cookbook

You're reading from   Python Digital Forensics Cookbook Effective Python recipes for digital investigations

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Length 412 pages
Edition 1st Edition
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Authors (2):
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Chapin Bryce Chapin Bryce
Author Profile Icon Chapin Bryce
Chapin Bryce
Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
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Table of Contents (11) Chapters Close

Preface 1. Essential Scripting and File Information Recipes FREE CHAPTER 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

Introduction

These days it is not uncommon to encounter modern systems equipped with some form of event or activity monitoring software. This software may be implemented to assist with security, debugging, or compliance requirements. Whatever the situation, this veritable treasure trove of information can be, and commonly is, leveraged in all types of cyber investigations. A common issue with log analysis can be the huge amount of data one is required to sift through for the subset of interest. Through the recipes in this chapter, we will explore various logs with great evidentiary value and demonstrate ways to quickly process and review them. Specifically, we will cover:

  • Converting different timestamp formats (UNIX, FILETIME, and so on) to human-readable formats
  • Parsing web server access logs from an IIS platform
  • Ingesting, querying, and exporting logs with Splunk's Python...
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