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

Questions

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. Where is data stored in the Elastic Stack?

    a. Logstash

    b. Beats

    c. Index Pattern

    d. Elasticsearch

  2. What type are the plugins used to receive data in Logstash?

    a. Ingest

    b. Input

    c. Filter

    d. Output

  3. Filebeat uses pre-built configurations to collect, parse, and visualize certain types of data; what are those called?

    a. Modules

    b. Integrations

    c. Plugins

    d. Connectors

  4. What is the Kibana app that provides a single interface to search data stored in Elasticsearch?

    a. Resolver

    b. Uptime

    c. Discover

    d. Detection engine

  5. Elastic breaks down its offerings into three solutions: Enterprise Search, Observability, and what?

    a. Detection

    b. Protection

    c. Defense

    d. Security