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Building and Automating Penetration Testing Labs in the Cloud

You're reading from   Building and Automating Penetration Testing Labs in the Cloud Set up cost-effective hacking environments for learning cloud security on AWS, Azure, and GCP

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Product type Paperback
Published in Oct 2023
Publisher Packt
ISBN-13 9781837632398
Length 562 pages
Edition 1st Edition
Tools
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Author (1):
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Joshua Arvin Lat Joshua Arvin Lat
Author Profile Icon Joshua Arvin Lat
Joshua Arvin Lat
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Table of Contents (15) Chapters Close

Preface 1. Part 1: A Gentle Introduction to Vulnerable-by-Design Environments
2. Chapter 1: Getting Started with Penetration Testing Labs in the Cloud FREE CHAPTER 3. Chapter 2: Preparing Our First Vulnerable Cloud Lab Environment 4. Chapter 3: Succeeding with Infrastructure as Code Tools and Strategies 5. Part 2: Setting Up Isolated Penetration Testing Lab Environments in the Cloud
6. Chapter 4: Setting Up Isolated Penetration Testing Lab Environments on GCP 7. Chapter 5: Setting Up Isolated Penetration Testing Lab Environments on Azure 8. Chapter 6: Setting Up Isolated Penetration Testing Lab Environments on AWS 9. Part 3: Exploring Advanced Strategies and Best Practices in Lab Environment Design
10. Chapter 7: Setting Up an IAM Privilege Escalation Lab 11. Chapter 8: Designing and Building a Vulnerable Active Directory Lab 12. Chapter 9: Recommended Strategies and Best Practices 13. Index 14. Other Books You May Enjoy

Using generative AI tools for exploit code generation

Generative AI has taken the world by storm and has revolutionized various industries and creative fields. From generating images and videos to even simulating natural language conversations, generative AI has pushed the boundaries further on what’s possible in the realm of AI. Its ability to generate new and innovative content has sparked innovation across diverse fields and applications.

Note

Since this is not a book on AI and ML, we will limit our scope to the main topic and focus on practical applications and examples instead. If you are interested in learning more about AI and ML, there are tons of available resources online to help you get started. I have also written two books on ML (which is a subset of AI)—Machine Learning with Amazon SageMaker Cookbook and Machine Learning Engineering on AWS by Packt Publishing. Feel free to check these out if you want to learn more about how to build and deploy ML models...

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