Book Image

Threat Hunting with Elastic Stack

By : Andrew Pease
5 (1)
Book Image

Threat Hunting with Elastic Stack

5 (1)
By: Andrew Pease

Overview of this book

Threat Hunting with Elastic Stack will show you how to make the best use of Elastic Security to provide optimal protection against cyber threats. With this book, security practitioners working with Kibana will be able to put their knowledge to work and detect malicious adversary activity within their contested network. You'll take a hands-on approach to learning the implementation and methodologies that will have you up and running in no time. Starting with the foundational parts of the Elastic Stack, you'll explore analytical models and how they support security response and finally leverage Elastic technology to perform defensive cyber operations. You’ll then cover threat intelligence analytical models, threat hunting concepts and methodologies, and how to leverage them in cyber operations. After you’ve mastered the basics, you’ll apply the knowledge you've gained to build and configure your own Elastic Stack, upload data, and explore that data directly as well as by using the built-in tools in the Kibana app to hunt for nefarious activities. By the end of this book, you'll be able to build an Elastic Stack for self-training or to monitor your own network and/or assets and use Kibana to monitor and hunt for adversaries within your network.
Table of Contents (18 chapters)
Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies
Section 2: Leveraging the Elastic Stack for Collection and Analysis
Section 3: Operationalizing Threat Hunting


In this chapter, we thoroughly explored the Elastic Security app. We dug into each of the app sections and explored the detection engine. From the detection engine, we created five different types of rules and generated sample data for analysis. We also explored specific host and network sections that display security-related information. We created timelines for events using EQL. We used cases to track events in combination with timelines. Finally, we explored the administration of the Security solution, looking at adding trusted applications.

The skills you gained in this chapter will allow you to identify malicious events, correlate endpoint and network data together, and begin the analysis process.

In the next chapter, we'll spend even more time in the Security solution, specifically leveraging timelines to further investigate the Tesla Agent event we observed in this chapter.