Evaluating the Effectiveness of Static Analysis in Addressing SANS 25 Vulnerabilities

Abstract

The security of software systems is paramount in ensuring the protection of sensitive data and maintaining the integrity of applications. Static analysis, a widely used software vulnerability detection method, has proven to be effective in identifying and mitigating vulnerabilities. This research investigates the effectiveness of static analysis tools in addressing the security weaknesses outlined in the SANS 25 (Top 25 Most Dangerous Software Errors). Through a detailed methodology involving multiple static analysis tools, vulnerability scans, and case studies of software applications, this paper explores the strengths and limitations of static analysis in detecting critical vulnerabilities. A comprehensive statistical analysis is also provided to quantify the effectiveness of static analysis tools. The findings of this study contribute valuable insights into the integration of static analysis for improved software security practices.