Detecting Command Injection and Cross-site Scripting Vulnerabilities Using Graph Representations

Abstract

Conference Title: 2023 IEEE International Conference on Data and Software Engineering (ICoDSE)

Conference Start Date: 2023, Sept. 7

Conference End Date: 2023, Sept. 8

Conference Location: Toba, Indonesia

Web-based applications, such as JavaScript-based applications, have vastly grown in scope and features. As web-based applications grow, the potential of vulnerabilities emerging inside such applications also grows. One of the ways to detect vulnerabilities inside web-based applications is to perform a static code analysis. Several static code analysis tools have been developed and are able to detect vulnerabilities inside JavaScript-based applications. However, these tools use abstract syntax tree representations in their analysis, therefore the analysis can't be performed efficiently. This paper proposes a static code analysis to detect vulnerabilities inside JavaScript-based applications using data-flow graph, control-flow graph, and call graph representations. Using taint analysis, a static code analysis tool is able to detect vulnerabilities in the form of command injection, and cross-site scripting (XSS). Test results showed that the static code analysis tool successfully detected vulnerabilities from four open-source projects.