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API Testing and Development with Postman

You're reading from   API Testing and Development with Postman API creation, testing, debugging, and management made easy

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781804617908
Length 358 pages
Edition 2nd Edition
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Author (1):
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Dave Westerveld Dave Westerveld
Author Profile Icon Dave Westerveld
Dave Westerveld
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Table of Contents (18) Chapters Close

Preface 1. API Terminology and Types 2. API Documentation and Design FREE CHAPTER 3. OpenAPI and API Specifications 4. Considerations for Good API Test Automation 5. Understanding Authorization Options 6. Creating Test Validation Scripts 7. Data-Driven Testing 8. Workflow Testing 9. Running API Tests in CI with Newman 10. Monitoring APIs with Postman 11. Testing an Existing API 12. Creating and Using Mock Servers in Postman 13. Using Contract Testing to Verify an API 14. API Security Testing 15. Performance Testing an API 16. Other Books You May Enjoy
17. Index

Fuzzing

Fuzzing involves providing invalid, unexpected, or random data as input to your program so that you can discover vulnerabilities and errors. The primary goal of fuzz testing is to identify security vulnerabilities, crashes, or other unexpected behavior in a software application. It is not a general-purpose testing technique and primarily helps you with identifying things that you might not have otherwise thought of or been able to test.

I suppose that technically fuzzing could be done manually by entering some pseudo-random inputs into a UI, but it is almost always done programmatically. There are some fuzzing tools like PeachFuzzer that can help you with this, but you can also create your own set of inputs if you want.

The way fuzzing works is that you start by generating a large volume of random or semi-random data to use as input. This input could include malformed or unexpected inputs that might not be handled correctly by the program. The point of fuzzing is...

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