Mutation based improvement of security test case quality for broken access control

Abstract Broken access control (BAC) remains the most critical security risk (i.e., OWASP Top 10). Although BAC is commonly tested with dynamic white-box techniques, their effectiveness hinge on the strength of the underlying test cases; weak test cases leave exploitable risks on the software. Mutation testing is widely used and has been empirically shown to be highly sensitive and reliable for evaluating test case quality. Though it is also used in software security, it remains limited for testing BAC. This study aims to improve security test cases quality for two BAC vulnerabilities: Improper Pathname Limitation (IPL) and Cross-Site Request Forgery (CSRF). We introduce 15 novel mutation operators, systematically formulated through data flow analysis to understand the nature of those vulnerabilities. The proposed operator groups, including file access check and CSRF-token related mutation operators, to simulate realistic and possible semantic fallacies that lead to security vulnerabilities. The approach was evaluated using the Quality of mutant set Coverage (QCo) and measuring the test cases improvement using Mutation Score Indicator (MSI) on 29 security test cases. Experimental results show that all operators, implemented as infectious PHP extension, achieved QCo above 85%, while test case quality improved in CSRF from 5 to 12 test cases and in IPL from 8 to 17 test cases on a PHP-based dummy project, whereas on DVWA from 6 to 8 test cases for CSRF and from 4 to 7 test cases for IPL. These findings indicate that the proposed mutation operators substantially enable developers in strengthening security test cases to reveal BAC vulnerabilities.

Authors

Institutions

Publication Details

Journal
Journal on Information Security
Published
2026-02-25
DOI
https://doi.org/10.1186/s13635-026-00226-w
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mutation based improvement of security test case quality for broken access control

Gusti Ayu Putri Saptawati, Yudistira Asnar, Abdurrasyid
Journal on Information Security
Software Testing and Debugging Techniques
article

Mutation based improvement of security test case quality for broken access control

Gusti Ayu Putri Saptawati, Yudistira Asnar, Abdurrasyid
article en

Abstract

Abstract Broken access control (BAC) remains the most critical security risk (i.e., OWASP Top 10). Although BAC is commonly tested with dynamic white-box techniques, their effectiveness hinge on the strength of the underlying test cases; weak test cases leave exploitable risks on the software. Mutation testing is widely used and has been empirically shown to be highly sensitive and reliable for evaluating test case quality. Though it is also used in software security, it remains limited for testing BAC. This study aims to improve security test cases quality for two BAC vulnerabilities: Improper Pathname Limitation (IPL) and Cross-Site Request Forgery (CSRF). We introduce 15 novel mutation operators, systematically formulated through data flow analysis to understand the nature of those vulnerabilities. The proposed operator groups, including file access check and CSRF-token related mutation operators, to simulate realistic and possible semantic fallacies that lead to security vulnerabilities. The approach was evaluated using the Quality of mutant set Coverage (QCo) and measuring the test cases improvement using Mutation Score Indicator (MSI) on 29 security test cases. Experimental results show that all operators, implemented as infectious PHP extension, achieved QCo above 85%, while test case quality improved in CSRF from 5 to 12 test cases and in IPL from 8 to 17 test cases on a PHP-based dummy project, whereas on DVWA from 6 to 8 test cases for CSRF and from 4 to 7 test cases for IPL. These findings indicate that the proposed mutation operators substantially enable developers in strengthening security test cases to reveal BAC vulnerabilities.

Journal on Information Security
Bandung Institute of Technology (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 51%
Software Testing and Debugging Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.