Book Image

Cybersecurity Attacks – Red Team Strategies

By : Johann Rehberger
Book Image

Cybersecurity Attacks – Red Team Strategies

By: Johann Rehberger

Overview of this book

It's now more important than ever for organizations to be ready to detect and respond to security events and breaches. Preventive measures alone are not enough for dealing with adversaries. A well-rounded prevention, detection, and response program is required. This book will guide you through the stages of building a red team program, including strategies and homefield advantage opportunities to boost security. The book starts by guiding you through establishing, managing, and measuring a red team program, including effective ways for sharing results and findings to raise awareness. Gradually, you'll learn about progressive operations such as cryptocurrency mining, focused privacy testing, targeting telemetry, and even blue team tooling. Later, you'll discover knowledge graphs and how to build them, then become well-versed with basic to advanced techniques related to hunting for credentials, and learn to automate Microsoft Office and browsers to your advantage. Finally, you'll get to grips with protecting assets using decoys, auditing, and alerting with examples for major operating systems. By the end of this book, you'll have learned how to build, manage, and measure a red team program effectively and be well-versed with the fundamental operational techniques required to enhance your existing skills.
Table of Contents (17 chapters)
1
Section 1: Embracing the Red
6
Section 2: Tactics and Techniques

Case study – the fictional Shadow Bunny corporation

Let's introduce our players and the network we deal with. Our fictitious Shadow Bunny corporation is a small team with a variety of assets that might be attacked. Many employees use Windows managed by an Active Directory domain. However, there are macOS and Linux devices in the organization, and some employees have phones that they use for work also.

Let's walk through an example of how to model and import described assets into a graph database. The key point to demonstrate is that we will merge in datasets from many different sources to build out a knowledge graph for situational awareness.

But let's look at our practical example on how to model for a better home-field advantage. As a starting point, we need to define our data model and what it is that we would like to model.

Employees and assets

For the purposes of research and education, this chapter will create a new database (knowledge graph...