Business Logic Vulnerability Detection

Acerca de

This skill empowers developers to recognize and fix insidious business logic vulnerabilities that AI models often overlook, such as race conditions in concurrent systems and integer overflows in financial calculations. It provides specialized guidance on implementing robust security measures like database transactions, distributed locking, and rigorous input validation to ensure code remains secure under high load and adversarial conditions. By highlighting the gap between functional correctness and security resilience, it helps prevent costly exploits in e-commerce, banking, and high-concurrency applications.

Características Principales

• Guidance on secure database transactions and row-level locking
• 1 GitHub stars
• Mitigation strategies for integer overflow and calculation errors
• Detection of race conditions in concurrent request handling
• Best practices for secure financial data handling using Decimals
• Implementation of distributed locking with Redis

Casos de Uso

• Building high-concurrency systems like flash sales or booking platforms
• Developing financial applications requiring precise currency calculations
• Auditing AI-generated code for logic flaws that pass functional unit tests