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


As we conclude, here is a list of questions for you to test your knowledge regarding this chapter's material. You will find the answers in the Assessments section of the Appendix:

  1. The Elastic Common Schema is used to do what?

    a. Provide a uniform way to describe data.

    b. Automatically convert data into a different format.

    c. Automatically share data with peers.

    d. Create generic data.

  2. What is not an example of a saved object in Kibana?

    a. Saved searches

    b. Dashboards

    c. Indexed data

    d. Visualizations

  3. Exporting ECS-compliant objects allows you to do what?

    a. Back up indexed data.

    b. Share the objects with peers or partners.

    c. Convert visualizations into dashboards.

    d. Repair corrupted data.

  4. What is not a filter that can be applied when viewing saved objects in Kibana?

    a. Tags

    b. Visualizations

    c. Dashboards

    d. Rules

  5. True or false? You can import and export detection logic from the Detection Engine.

    a. True

    b. False