• JWT-based authentication: Secure token-based authentication using JSON Web Tokens
• Password hashing: All passwords are hashed using bcryptjs with salt rounds
• Protected endpoints: Most endpoints require authentication via JWT guards
• Role-based access: User roles (admin/user) for authorization

• class-validator: All DTOs use validation decorators
• Validation pipes: Global validation pipe configured in main.ts
• Type safety: TypeScript provides compile-time type checking
• Whitelist validation: Only whitelisted properties are accepted

• Mongoose ODM: Uses Mongoose which provides built-in query sanitization
• NoSQL injection protection: Mongoose automatically sanitizes queries
• Schema validation: Mongoose schemas enforce data structure
• ObjectId validation: All MongoDB IDs are validated using @IsMongoId() decorator

• CORS enabled: Cross-Origin Resource Sharing configured
• Environment variables: Sensitive data stored in environment variables
• Error handling: Proper error handling without exposing sensitive information

The CodeQL security analysis flagged 10 SQL injection warnings. These are false positives because:

1. MongoDB vs SQL: The application uses MongoDB (NoSQL), not SQL databases. The alerts are based on SQL injection patterns.

2. Mongoose Protection: All database queries go through Mongoose ODM, which:

   • Automatically sanitizes input
   • Uses parameterized queries
   • Prevents query injection attacks

3. Input Validation: All user inputs are validated through:

   • class-validator decorators on DTOs
   • Global validation pipe with whitelist enabled
   • TypeScript type checking
   • @IsMongoId() decorator for database IDs

4. Query Examples:

   // This is safe because:
   // 1. createCategoryDto.name is validated by class-validator
   // 2. Mongoose escapes special characters
   // 3. The query object is constructed safely
   const existingCategory = await this.categoryModel.findOne({
     name: createCategoryDto.name,
   });

1. Change JWT_SECRET: Use a strong, random string

   openssl rand -base64 32

2. Enable MongoDB authentication:

   MONGODB_URI=mongodb://username:password@host:port/database
   

3. Use HTTPS: Configure SSL/TLS certificates

4. Rate limiting: Add rate limiting middleware

   npm install @nestjs/throttler

5. Helmet: Add security headers

   npm install helmet

• Implement refresh tokens for better session management
• Add API rate limiting per user/IP
• Enable MongoDB SSL/TLS connections
• Implement audit logging for sensitive operations
• Add CSRF protection for web clients
• Use environment-specific configurations
• Regular dependency updates and security audits
• Implement request timeout limits
• Add IP whitelisting for admin endpoints

• ✅ Mongoose search injection: Updated to version 8.9.5 (patched)

• ⚠️ validator.js URL validation: The class-validator dependency uses validator library which has a URL validation bypass. This is not critical because:
  • We don't use URL validation in this application
  • The vulnerability is in URL parsing, which we don't expose
  • Severity: Moderate
  • Impact: Low for our use case

If you discover a security vulnerability, please email the maintainer directly. Do not open a public issue.

• [v] Changed JWT_SECRET to a strong random value
• [v] Configured MongoDB authentication
• Enabled HTTPS
• Set NODE_ENV=production
• Reviewed all environment variables
• Implemented rate limiting
• Added security headers (Helmet)
• Enabled MongoDB SSL/TLS
• Configured logging and monitoring
• Set up backup strategy
• Reviewed user permissions
• Tested authentication flows
• Verified input validation
• Checked CORS configuration

• 2025-10-21: Initial implementation with JWT auth, password hashing, and input validation
• 2025-10-21: Updated Mongoose to 8.9.5 to patch search injection vulnerability
• 2025-10-21: CodeQL analysis completed - 10 false positives (SQL injection warnings for MongoDB)