Optimization of Vulnerability Detection and Repair Strategies Based on Static Application Security Testing

Abstract

Static Application Security Testing (SAST), as an important vulnerability detection and repair technology, plays a key role in ensuring software security. However, existing static application security testing still faces challenges such as delays in vulnerability detection and inefficiencies in the repair process. This paper starts with the analysis of the current situation, discusses the problem of the delay of vulnerability detection and the inefficiency of repair, and puts forward the specific method of optimizing the vulnerability detection strategy and repair strategy of static application security testing. By introducing multi-dimensional analysis to improve detection accuracy, optimizing static analysis algorithm to improve detection efficiency, and applying automated and intelligent repair strategies, the purpose is to improve the efficiency and effect of vulnerability detection and repair. It is hoped that the implementation of optimization strategy can provide a more efficient solution for security protection in software development.