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

Bonus – adding Mordor datasets to our ELK instance

For those that cannot set up an ESXI environment, or for those that just want to practice their hunting skills over a set of log results from an APT emulation plan without having to carry out the emulation themselves, there is an excellent alternative.

We talked about the Mordor project in the previous chapter, but just to refresh your memory, Mordor is a project that's also carried out by the brothers Roberto and Jose Rodriguez. Their project provides "free portable datasets to expedite the development of analytics."

You can download the datasets from the Mordor-lab GitHub. Throughout this book, I'm going to use the APT29 ATT&CK evaluations dataset, which you can download from the following link: https://github.com/OTRF/detection-hackathon-apt29/tree/master/datasets.

For those that use the HELK, there is a YouTube video guide on how to import the dataset into the environment using Kafkacat:...