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

Summary

In this chapter, we learned how to leverage a graph database to model a wide range of assets across the organization with the goal of building a comprehensive knowledge graph. We explored topics such as export metadata from AWS to JSON format, and subsequently importing files into Neo4j. Using the APOC plugin, we covered both JSON and CSV file formats for importing data. We also learned how to use the AWS CLI to query information via the command line from an AWS account.

Finally, we discussed other data sources that can be added to a knowledge graph to provide a holistic view of assets across the organization. This might include data from AD, blue team, vulnerability information, production services, external cloud systems, and so forth.

Using the information in this chapter should get you started with building your own graph database prototypes and exploring features and use cases. The chapter hopefully also helped you to better understand possible scenarios to model...