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

Augmenting an existing graph or building one from scratch?

If you are not yet familiar with BloodHound (https://github.com/BloodHoundAD), you should look at it. It's a great toolset to analyze and represent Windows infrastructure, and, behind the scenes, it also leverages a Neo4j graph database.

After importing data into the BloodHound database, you can augment existing nodes and edges with more relations and metadata, such as organization information, social networks, or cloud infrastructure. That is a quick approach to get some results beyond Windows infrastructure while still fitting into the overall model. Hence, if you already have a BloodHound-based graph database, consider that as a great starting point to map out your entire organization as much as possible.

Similarly, there is Cartography (https://github.com/lyft/cartography), which focuses more on cloud assets, but it also uses Neo4j for data storage. A nice experiment is merging two datasets into one. Both projects...