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

Leveraging Filebeat, Elasticsearch, and Kibana

An effective way to gain insights around infrastructure at scale is by deploying osquery, and then forwarding the logs to Elasticsearch or Splunk to gain central insights. If you have never been exposed to the Elasticsearch Stack, there are a few key components to be aware of:

  • Logstash: A utility running on a host to forward logs to an Elasticsearch cluster.
  • Beats: Similar to Logstash, Beats help send data to Elasticsearch. Beats are lightweight and target specific use cases, such as Filebeat and Auditbeat.
  • Elasticsearch: This is the data storage and search technology in the stack.
  • Kibana: Kibana is the data analysis and visualization component that aids in presenting and exploring information.

This section is intended as an introduction for red teamers to learn about the centralized monitoring solutions and infrastructure that blue teams use, and how it can be used by red teams as well. We will look at Filebeat...