Data Sanitizer

Clean and validate input data to prevent security vulnerabilities. Remove potentially dangerous content and ensure data safety.

Understanding Data Sanitization

Data sanitization is crucial for web security. It helps prevent:

  • XSS Attacks: Cross-site scripting through malicious scripts
  • SQL Injection: Database attacks through malformed input
  • Code Injection: Execution of unauthorized code
  • Data Corruption: Invalid or malformed data entry

Sanitization Methods

HTML Sanitization

Removes potentially dangerous HTML tags and attributes while preserving safe content.

URL Sanitization

Ensures URLs are properly formatted and free from malicious components.

Text Cleaning

Removes unwanted characters and normalizes text format.

Special Characters

Handles special characters and encoding to prevent injection attacks.

Best Practices

Input Validation

Always validate input data before processing. Define clear rules for acceptable input.

Output Encoding

Properly encode data when displaying it to prevent XSS attacks.

Context Awareness

Use appropriate sanitization methods based on the data's context and use case.

Quick Tips

  • • Always validate user input
  • • Use appropriate encoding
  • • Consider the data context
  • • Maintain whitelist approach
  • • Test with malicious input
  • • Document sanitization rules