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Pentesting APIs

You're reading from   Pentesting APIs A practical guide to discovering, fingerprinting, and exploiting APIs

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781837633166
Length 290 pages
Edition 1st Edition
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Author (1):
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Maurício Harley Maurício Harley
Author Profile Icon Maurício Harley
Maurício Harley
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction to API Security
2. Chapter 1: Understanding APIs and their Security Landscape FREE CHAPTER 3. Chapter 2: Setting Up the Penetration Testing Environment 4. Part 2: API Information Gathering and AuthN/AuthZ Testing
5. Chapter 3: API Reconnaissance and Information Gathering 6. Chapter 4: Authentication and Authorization Testing 7. Part 3: API Basic Attacks
8. Chapter 5: Injection Attacks and Validation Testing 9. Chapter 6: Error Handling and Exception Testing 10. Chapter 7: Denial of Service and Rate-Limiting Testing 11. Part 4: API Advanced Topics
12. Chapter 8: Data Exposure and Sensitive Information Leakage 13. Chapter 9: API Abuse and Business Logic Testing 14. Part 5: API Security Best Practices
15. Chapter 10: Secure Coding Practices for APIs 16. Index 17. Other Books You May Enjoy

Secure Coding Practices for APIs

Welcome to the end of our book, which matches the beginning of your Application Programming Interface (API) pentesting journey! If you’ve been reading this book from Chapter 1, we’ve been together for quite a while, covering and learning about different aspects of APIs in their most diverse forms, sticking with penetration techniques but still having an eye on what application owners and developers should pay attention to before releasing their APIs. An API opens the door of applications, services, and entire businesses to the world. This door represents an immense responsibility for a software and is surely extensible for all the infrastructure that supports it.

The upcoming sections bring recommendations when coding to build APIs. You will find tips and practices in some modern programming languages and technologies, the ones that are more applied when creating APIs: Golang, GraphQL, Java, JavaScript, and Python. All major problems...

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