You're reading from Threat Hunting with Elastic Stack Solve complex security challenges with integrated prevention, detection, and response

Product type Paperback

Published in Jul 2021

Publisher Packt

ISBN-13 9781801073783

Length 392 pages

Edition 1st Edition

Tools

Kibana

Concepts

Cybersecurity

Author (1):

Andrew Pease

View More author details

Table of Contents (18) Chapters

Preface

1. Section 1: Introduction to Threat Hunting, Analytical Models, and Hunting Methodologies

2. Chapter 1: Introduction to Cyber Threat Intelligence, Analytical Models, and Frameworks FREE CHAPTER

3. Chapter 2: Hunting Concepts, Methodologies, and Techniques

4. Section 2: Leveraging the Elastic Stack for Collection and Analysis

5. Chapter 3: Introduction to the Elastic Stack

6. Chapter 4: Building Your Hunting Lab – Part 1

7. Chapter 5: Building Your Hunting Lab – Part 2

8. Chapter 6: Data Collection with Beats and Elastic Agent

9. Chapter 7: Using Kibana to Explore and Visualize Data

10. Chapter 8: The Elastic Security App

11. Section 3: Operationalizing Threat Hunting

12. Chapter 9: Using Kibana to Pivot Through Data to Find Adversaries

13. Chapter 10: Leveraging Hunting to Inform Operations

14. Chapter 11: Enriching Data to Make Intelligence

15. Chapter 12: Sharing Information and Analysis

16. Assessments

17. Other Books You May Enjoy

The Discover app

The Discover app is the main view of your data stored in Elasticsearch. If you had no other solutions, visualizations, or dashboards, you could still explore all of your data with Discover.

Using Discover, we'll learn how to leverage the true strength of Kibana – filters. Raw searching capability is, of course, very powerful. However, in threat hunting, frequently, you don't exactly know what you're looking for, so simply blindly searching through data will result in suboptimal results (if any). Filters, as we'll discuss in more detail, allow you to surgically examine data to discover what's hidden inside.

Important note

The Discover app only shows the first 500 events for a search. This is for performance. We will use time selections and filters to uncover and zero in on the data of interest. You can't efficiently search through more than 500 events, so while it can be confusing (or frustrating) at first, this truly makes...