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

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781838828868

Length 524 pages

Edition 1st Edition

Tools

Neo4j

Concepts

Cybersecurity

Author (1):

Johann Rehberger

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Table of Contents (17) Chapters

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

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Graph database basics

Before installing Neo4j and creating nodes and running queries, let's discuss the basic concepts of a graph database briefly. At a high level, a graph database models nodes and their relationships. In order to do so, there are a set of basic object types it uses, all of which we will explore in this section.

Although we are mostly going to use Neo4j in the next two chapters, Neo4j is not the only option. The following screenshot shows Studio, the user interface of OrientDB, another popular graph database system:

Figure 5.1: Studio – a user interface to model and explore OrientDB graph databases

As shown in the preceding screenshot, there are nodes such as bob and SATURN, and edges such as MANAGES and MEMBER_OF. Nodes and edges are two of the basic object types of graph database systems. Let's explore the core object types in more detail.