You're reading from Threat Hunting with Elastic Stack Solve complex security challenges with integrated prevention, detection, and response

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801073783

Length 392 pages

Edition 1st Edition

Tools

Kibana

Concepts

Cybersecurity

Author (1):

Andrew Pease

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies

2. Chapter 1: Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks FREE CHAPTER

3. Chapter 2: Hunting Concepts, Methodologies, and Techniques

4. Section 2: Leveraging the Elastic Stack for Collection and Analysis

5. Chapter 3: Introduction to the Elastic Stack

6. Chapter 4: Building Your Hunting Lab – Part 1

7. Chapter 5: Building Your Hunting Lab – Part 2

8. Chapter 6: Data Collection with Beats and Elastic Agent

9. Chapter 7: Using Kibana to Explore and Visualize Data

10. Chapter 8: The Elastic Security App

11. Section 3: Operationalizing Threat Hunting

12. Chapter 9: Using Kibana to Pivot Through Data to Find Adversaries

13. Chapter 10: Leveraging Hunting to Inform Operations

14. Chapter 11: Enriching Data to Make Intelligence

15. Chapter 12: Sharing Information and Analysis

16. Assessments

17. Other Books You May Enjoy

Profiling data

This means understanding what data is in your environment, and more importantly, how the things in your environment are expected to behave. One of the results of data that is structured into a uniform format (the Elastic Common Schema, which we'll discuss later) and stored together, is that it allows you to profile data to better inform your collection, analysis, and response strategies.

Figure 2.2 is a quick example of some transport layer security (TLS) data. It presents a lot of data at once, but it highlights how you can view like data together to profile how it should be behaving. In this figure, we see JA3 client fingerprints, sorted by the host operating system, and the IP address of the TLS session:

Figure 2.2 – TLS data profile by JA3 fingerprint, OS, and IP address example

Understanding your data is paramount to being able to identify abnormalities. The human brain does this really well through the use of visuals, so the ability to visualize...