Book Image

Operationalizing Threat Intelligence

By : Kyle Wilhoit, Joseph Opacki
Book Image

Operationalizing Threat Intelligence

By: Kyle Wilhoit, Joseph Opacki

Overview of this book

We’re living in an era where cyber threat intelligence is becoming more important. Cyber threat intelligence routinely informs tactical and strategic decision-making throughout organizational operations. However, finding the right resources on the fundamentals of operationalizing a threat intelligence function can be challenging, and that’s where this book helps. In Operationalizing Threat Intelligence, you’ll explore cyber threat intelligence in five fundamental areas: defining threat intelligence, developing threat intelligence, collecting threat intelligence, enrichment and analysis, and finally production of threat intelligence. You’ll start by finding out what threat intelligence is and where it can be applied. Next, you’ll discover techniques for performing cyber threat intelligence collection and analysis using open source tools. The book also examines commonly used frameworks and policies as well as fundamental operational security concepts. Later, you’ll focus on enriching and analyzing threat intelligence through pivoting and threat hunting. Finally, you’ll examine detailed mechanisms for the production of intelligence. By the end of this book, you’ll be equipped with the right tools and understand what it takes to operationalize your own threat intelligence function, from collection to production.
Table of Contents (18 chapters)
1
Section 1: What Is Threat Intelligence?
6
Section 2: How to Collect Threat Intelligence
12
Section 3: What to Do with Threat Intelligence

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...