You're reading from Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781838556372

Length 398 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Application Security

Author (1):

Valentina Costa-Gazcón

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Table of Contents (21) Chapters

Preface

1. Section 1: Cyber Threat Intelligence

2. Chapter 1: What Is Cyber Threat Intelligence? FREE CHAPTER

3. Chapter 2: What Is Threat Hunting?

4. Chapter 3: Where Does the Data Come From?

5. Section 2: Understanding the Adversary

6. Chapter 4: Mapping the Adversary

7. Chapter 5: Working with Data

8. Chapter 6: Emulating the Adversary

9. Section 3: Working with a Research Environment

10. Chapter 7: Creating a Research Environment

11. Chapter 8: How to Query the Data

12. Chapter 9: Hunting for the Adversary

13. Chapter 10: Importance of Documenting and Automating the Process

14. Section 4: Communicating to Succeed

15. Chapter 11: Assessing Data Quality

16. Chapter 12: Understanding the Output

17. Chapter 13: Defining Good Metrics to Track Success

18. Chapter 14: Engaging the Response Team and Communicating the Result to Executives

19. Other Books You May Enjoy

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Appendix – The State of the Hunt

Using data dictionaries

We discussed some of the different data sources that we can collect data from in Chapter 3, Where Does Data Come From?, where we stated that we can typically distinguish between three types of data logs sources: endpoint data sources, network data sources, and security data sources.

In this chapter, we are going to learn how using data dictionaries will help us relate the data sources to the data analytics we've gathered. We'll use these data dictionaries to give the events meaning through standardization.

The amount of data that will be collected will vary, depending on the organization's infrastructure, security policies, and resources. So, the first thing you must do is identify the data sources that you have available in your organization's environment. Once you have identified all these data sources, you can use a Collection Management Framework (CMF) to record which tools you are using and which information you are gathering...