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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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Toc

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

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...

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