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Support for the Vulnerability Management Process Using Conversion CVSS Base Score 2.0 to 3.x.

Sensors (Basel, Switzerland)·2023
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Comparative Analysis of Open-Source Tools for Conducting Static Code Analysis.

Kajetan Kuszczyński1, Michał Walkowski1

  • 1Department of Telecommunications and Teleinformatics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland.

Sensors (Basel, Switzerland)
|September 28, 2023
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This study evaluated open-source static code analysis tools for software security. No single tool excels across all technologies, with Semgrep showing varied performance in JavaScript versus PHP applications.

Keywords:
SASTcode analysissecurityvulnerabilities

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Area of Science:

  • Computer Science
  • Software Engineering
  • Cybersecurity

Background:

  • Digitalization increases web application complexity, necessitating robust software security testing.
  • Static code analysis is a critical component of the software development lifecycle for identifying vulnerabilities.
  • Open-source tools offer accessible solutions for security analysis, but their comparative performance requires evaluation.

Purpose of the Study:

  • To compare the performance of various open-source static code analysis tools for security.
  • To identify the strengths and weaknesses of different tools across diverse web application technologies.
  • To provide recommendations for selecting and utilizing static code analysis tools effectively.

Main Methods:

  • Eleven open-source static code analysis tools were evaluated.
  • Sixteen vulnerable web applications with well-documented security flaws were used for testing.
  • Tool performance was assessed based on their ability to detect known vulnerabilities.

Main Results:

  • No single static code analysis tool demonstrated perfect performance across all tested applications.
  • Semgrep showed superior results for JavaScript applications but weaker performance for PHP applications.
  • Tool effectiveness varied significantly depending on the programming language and specific vulnerabilities.

Conclusions:

  • The selection of static code analysis tools should be tailored to the specific technologies and security requirements of a project.
  • A combination of tools may be necessary to achieve comprehensive security coverage.
  • Further research can explore tool performance on a wider range of application types and vulnerabilities.