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Secure Software Development

You're reading from   Secure Software Development Learn to analyze and mitigate risks in your software projects

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835462836
Length 262 pages
Edition 1st Edition
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Author (1):
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Aspen Olmsted Aspen Olmsted
Author Profile Icon Aspen Olmsted
Aspen Olmsted
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Modeling a Secure Application FREE CHAPTER
2. Chapter 1: Security Principles 3. Chapter 2: Designing a Secure Functional Model 4. Chapter 3: Designing a Secure Object Model 5. Chapter 4: Designing a Secure Dynamic Model 6. Chapter 5: Designing a Secure System Model 7. Chapter 6: Threat Modeling 8. Part 2: Mitigating Risks in Implementation
9. Chapter 7: Authentication and Authorization 10. Chapter 8: Input Validation and Sanitization 11. Chapter 9: Standard Web Application Vulnerabilities 12. Chapter 10: Database Security 13. Part 3: Security Validation
14. Chapter 11: Unit Testing 15. Chapter 12: Regression Testing 16. Chapter 13: Integration, System, and Acceptance Testing 17. Chapter 14: Software Penetration Testing 18. Index 19. Other Books You May Enjoy

Input sanitization

Input sanitization is a critical practice in software development aimed at cleaning and validating user inputs to prevent security vulnerabilities and protect against various attacks, such as SQL injection, cross-site scripting (XSS), and other injection attacks. The goal of input sanitization is to ensure that the input data is safe and does not contain malicious code or characters that could compromise the application’s security. It is crucial to store data securely once it is input so that it remains sanitized. We will address this in the database security chapter.

Here are fundamental principles and techniques for input sanitization in software development:

  • Filtering and validation - Filtering removes or disallows any characters or patterns not expected in the input. Validation ensures that the input adheres to expected formats, lengths, and constraints. It is crucial to consider outliers in input that are still valid, such as hyphenated names...
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