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

Missing data

As important as identifying deviations from your collected data profile is, it is also important to understand when you're missing data that you are expecting.

Intelligence analysis is an ancient discipline and frequently, we can apply non-cyber scenarios to cyber scenarios to solve the same problems.

In the Second World War, the United States could not turn the tide of air superiority maintained by the Axis powers. To solve this problem, the United States decided to improve its armoring strategy. A project was hatched to analyze returning Allied aircraft to identify where the bullet holes were and improve the armor around those areas to make the aircraft more resilient.

Sadly, this made a negative impact. Aircraft were still being damaged and not returning. Additionally, they were heavier than they had been before, making them slower, harder to maneuver, meaning they consumed more fuel:

Figure 2.4 – Survivorship bias

A mathematician named Abraham...