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Cybersecurity Attacks – Red Team Strategies

You're reading from   Cybersecurity Attacks – Red Team Strategies A practical guide to building a penetration testing program having homefield advantage

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838828868
Length 524 pages
Edition 1st Edition
Tools
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Author (1):
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Johann Rehberger Johann Rehberger
Author Profile Icon Johann Rehberger
Johann Rehberger
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Embracing the Red
2. Chapter 1: Establishing an Offensive Security Program FREE CHAPTER 3. Chapter 2: Managing an Offensive Security Team 4. Chapter 3: Measuring an Offensive Security Program 5. Chapter 4: Progressive Red Teaming Operations 6. Section 2: Tactics and Techniques
7. Chapter 5: Situational Awareness – Mapping Out the Homefield Using Graph Databases 8. Chapter 6: Building a Comprehensive Knowledge Graph 9. Chapter 7: Hunting for Credentials 10. Chapter 8: Advanced Credential Hunting 11. Chapter 9: Powerful Automation 12. Chapter 10: Protecting the Pen Tester 13. Chapter 11: Traps, Deceptions, and Honeypots 14. Chapter 12: Blue Team Tactics for the Red Team 15. Assessments 16. Another Book You May Enjoy

Adding more data to the knowledge graph

Hopefully, the little case study was useful in conveying the concepts of why mapping out your organization's home field via a graph is useful. It provides value not only for the red team but also other stakeholders in your organization. There are plenty of data sources to pull data from.

Important Note

One aspect to consider when sharing a graph more broadly is to implement security controls on what parts of the graph can be accessible to whom. This is beyond the scope of this book, but it is something to be aware of.

Let's take a look at some of the most important data sources that you might be able to leverage when building out a home field knowledge graph.

Active Directory

If you are dealing with a Windows environment, then querying domain controllers and the global catalog to gather information about admins on machines, and who uses which machines, is straightforward. There are technical solutions readily available...

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