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Mastering Python Forensics

You're reading from Mastering Python Forensics Master the art of digital forensics and analysis with Python

Product type Paperback

Published in Oct 2015

Publisher Packt

ISBN-13 9781783988044

Length 192 pages

Edition 1st Edition

Languages

Python

Concepts

Forensics

Table of Contents (9) Chapters

Preface

1. Setting Up the Lab and Introduction to Python ctypes

2. Forensic Algorithms FREE CHAPTER

3. Using Python for Windows and Linux Forensics

4. Using Python for Network Forensics

5. Using Python for Virtualization Forensics

6. Using Python for Mobile Forensics

7. Using Python for Memory Forensics

Index

Summary

In this chapter, we saw prominent examples of the special properties of Microsoft Windows and Linux (and Linux-like) systems. You are now able to extract information from the Windows event log, the Windows registry, Linux files, and the Linux filesystem. Using Python, all of this information can be automatically and semiautomatically analyzed for the Indicators of Compromise, reconstructing the recent system activity, and signs of exfiltration.

Furthermore, reading the filesystem capabilities shows us how to use ctype to load the native libraries to assist the filesystem analysis.

In the clustering of file information, we provided the first example on how to use the basic machine learning algorithms to support the forensic analysis.

Now that we took a look at the local systems, we will go to the next chapter and take a look at the network traffic and how to search for the Indicators of Compromise (IOC) there.

The rest of the chapter is locked

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