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Operationalizing Threat Intelligence

You're reading from   Operationalizing Threat Intelligence A guide to developing and operationalizing cyber threat intelligence programs

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801814683
Length 460 pages
Edition 1st Edition
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Authors (2):
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Joseph Opacki Joseph Opacki
Author Profile Icon Joseph Opacki
Joseph Opacki
Kyle Wilhoit Kyle Wilhoit
Author Profile Icon Kyle Wilhoit
Kyle Wilhoit
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: What Is Threat Intelligence?
2. Chapter 1: Why You Need a Threat Intelligence Program FREE CHAPTER 3. Chapter 2: Threat Actors, Campaigns, and Tooling 4. Chapter 3: Guidelines and Policies 5. Chapter 4: Threat Intelligence Frameworks, Standards, Models, and Platforms 6. Section 2: How to Collect Threat Intelligence
7. Chapter 5: Operational Security (OPSEC) 8. Chapter 6: Technical Threat Intelligence – Collection 9. Chapter 7: Technical Threat Analysis – Enrichment 10. Chapter 8: Technical Threat Analysis – Threat Hunting and Pivoting 11. Chapter 9: Technical Threat Analysis – Similarity Analysis 12. Section 3: What to Do with Threat Intelligence
13. Chapter 10: Preparation and Dissemination 14. Chapter 11: Fusion into Other Enterprise Operations 15. Chapter 12: Overview of Datasets and Their Practical Application 16. Chapter 13: Conclusion 17. Other Books You May Enjoy

Summary

In this chapter, we introduced you to the concept of using the data that you had previously enriched as a data point to hunt and pivot for new threat intelligence. We started off by discussing the motivation for hunting and pivoting, introduced you to hunting and pivoting methods, and introduced you to the concept of pivot identifiers, couplers, and footholds. Then, we discussed the malicious data points that could be used to pivot on for both network infrastructure as well as files. Finally, we wrapped the chapter up by discussing several free tools and services that can currently be used to get started right away.

In the next chapter, we will be introducing the concepts of grouping and clustering similar observables based on corresponding attributes. An example of this is clustering together collected malware samples that have shared mutex strings. The next chapter will define both grouping and clustering, and the roles they play in threat intelligence. Should be fun!

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