Implementation of robust input validation and sanitization techniques in financial web applications

Posted: Oct 29, 2022

• Mia Ramirez
• Mia Roberts
• Mia Smith

Abstract

The exponential growth of financial web applications has created an expanded attack surface for malicious actors seeking to exploit input validation vulnerabilities. Financial institutions face unique challenges in balancing security requirements with user experience, as overly restrictive validation can lead to legitimate transaction rejections, while insufficient validation exposes systems to critical security breaches. Traditional input validation techniques, primarily based on regular expressions and whitelist approaches, often prove inadequate for the complex data structures and sophisticated attack patterns encountered in financial contexts. This research addresses the fundamental limitations of conventional input validation by proposing a comprehensive framework specifically designed for financial web applications. The novelty of our approach lies in its integration of semantic understanding with security validation, enabling the system to comprehend the financial context of user inputs while simultaneously protecting against malicious payloads.