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)
1
Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies
4
Section 2: Leveraging the Elastic Stack for Collection and Analysis
11
Section 3: Operationalizing Threat Hunting

The detection engine

The Detections section is used to investigate and create detection logic. Detection logic can be the results of a malware hit from a signature or behavior as well as potentially malicious activity. As of Elastic version 7.12, the detection engine has over 500 pre-built rules that are created by the Elastic Intelligence and Analytics Team and the Elastic community:

Figure 8.3 – Detection section

Keeping with the theme across the rest of Kibana, you can apply specific queries directly into the Detections section or apply a date picker selection to narrow any searches.

In this section, we began to explore the detection engine of the Elastic Security app. In the next section, we'll learn about managing the detection rules.

Managing detection rules

One of the most powerful features of the Elastic Security app is the detection rules. Detection rules are pre-configured queries that compare events from various data sources to identify non-signature...