Book Image

Practical Threat Intelligence and Data-Driven Threat Hunting

By : Valentina Costa-Gazcón
Book Image

Practical Threat Intelligence and Data-Driven Threat Hunting

By: Valentina Costa-Gazcón

Overview of this book

Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.
Table of Contents (21 chapters)
Section 1: Cyber Threat Intelligence
Section 2: Understanding the Adversary
Section 3: Working with a Research Environment
Section 4: Communicating to Succeed
Appendix – The State of the Hunt


In this chapter, we learned how to carry out atomic tests and atomic hunts, thinking about the underlying processes that are going on in the operating system when preparing the search for traces of suspicious activity in our dataset. We also learned how to carry out our first queries using our Kibana instance. We then reviewed a few real-world scenarios where threat actors leverage publicly available tools to carry out their attacks. We deployed and executed one of those tools, Quasar RAT, in our environment and hunted for it in our research lab.

In the following chapter, we are going to execute and emulate an adversary following the last example of the APT29 MITRE ATT&CK Evaluations.