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

View More author details

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

Leave a review - let other readers know what you think

Appendix – The State of the Hunt

MITRE evaluations

Based on the ATT&CK™ knowledge base, MITRE has performed a set of evaluations over endpoint cybersecurity vendors' products and continues to release its results for public consumption. This way, consumers can evaluate the capabilities of those security products to actually detect known adversarial behavior.

These evaluations are done not across the whole ATT&CK Matrix, but focusing on certain adversary groups. So far, MITRE has released evaluations for APT3, APT29, Carbanak+FIN7, and TRITON. You can view the results for round 2 of the APT29 evaluations by vendor on a Kibana dashboard prepared by the Elastic team: https://ela.st/mitre-eval-rd2. For a more detailed explanation of the results, you can check out the following article that the Elastic team wrote about it: https://www.elastic.co/blog/visualizing-mitre-round-2-evaluation-results-Kibana?blade=securitysolutionfeed.

Nevertheless, as with any adversary emulation, it has some limitations...