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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

Chapter 9: Technical Threat Analysis – Similarity Analysis

Every day, a growing number of new and variant malware families emerge across the globe. To reduce the amount of overhead it takes to analyze individual malware families and organize and identify clusters of malicious activity, security researchers often apply techniques for finding malware and infrastructure similarities by utilizing techniques that group similarities together. In this chapter, we will be focusing on malware relationship analysis, specifically to help identify malware intrusion sets that are used in threat campaigns and are being pitted against organizations every day.

Fundamentally, analyzing the similarity between malware and its malicious infrastructure turns seemingly disparate datasets into valuable threat intelligence. This similarity analysis can be done in a litany of different ways, with many options developed to assist organizations. Still residing in the third phase of the intelligence...

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