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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

Testing for NoSQL injection

We have covered a reasonable ground of SQL injection attacks, but the fact is there is a considerable number of applications (and API endpoints) on the internet that need to handle unstructured data, such as documents, emails, social media posts, images, and audio and video files. For these use cases, relational databases are not the best choice since not all elements inside such databases have direct relationships, which would cause its management an unfair task. Carlo Strozzi introduced the concept of NoSQL databases in 1998 with his Strozzi NoSQL open source software (OSS) proposal. Since then, we’ve seen the release of many awesome products out there, such as MongoDB, Apache Cassandra, and Neo4j, just to name a few.

As these databases, as their type implies, are not SQL ones, they do not use SQL for making queries or responding to them. Hence, our SQL injection techniques do not work here. We need to approach them in another way. In this scenario...

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