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Benchmarking Static Analysis for PHP Applications Security.

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This study introduces a systematic framework to evaluate PHP Static Application Security Testing (SAST) tools. The new method quantifies information loss and reduces uncertainty for more reliable security vulnerability detection.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Cybersecurity

Background:

  • PHP is a widely used server-side language but vulnerable to security flaws.
  • Current Static Application Security Testing (SAST) tools for PHP lack systematic evaluation criteria.
  • Existing SAST evaluation methods suffer from uncontrolled variability, hindering accurate performance measurement.

Purpose of the Study:

  • To develop a systematic evaluation framework for PHP SAST tools.
  • To provide accurate and comprehensive assessments of SAST vulnerability detection capabilities.
  • To address limitations in quantifying information loss and uncertainty during SAST analysis.

Main Methods:

  • Developed a systematic evaluation framework for PHP SAST tools.
  • Isolated key factors influencing data flow analysis.
  • Enabled evaluation across four progressive dimensions with controlled information diversity.
  • Validated the framework's feasibility using a benchmark instance.

Main Results:

  • The framework reduces evaluation entropy, enabling more reliable measurement of SAST detection capabilities.
  • Demonstrated the framework's ability to reveal limitations in current SAST tools.
  • Provided actionable insights for improving PHP SAST tools.

Conclusions:

  • The developed framework offers a systematic approach to evaluate PHP SAST tools.
  • This systematic evaluation leads to more reliable and accurate assessments of SAST performance.
  • The framework facilitates targeted improvements in SAST tools for enhanced PHP security.