PHP Vulnerability Detection using Forward Taint Data Analysis Method

Shyffa Ilmallia Noer Fhadillah, Shyffa Ilmallia Noer Fhadillah and Parman Sukarno, Parman Sukarno and Aulia Arif Wardana, Aulia Arif Wardana (2020) PHP Vulnerability Detection using Forward Taint Data Analysis Method. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 7 (1). pp. 91-99. ISSN ISSN 2407, E-ISSN 2503-2933

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Abstract

This research builds the detection of php scripts using the Forward Taint data analysis method. Research has been carried out to test this attack. However, the accuracy that has been inferred is still very low. This is getting higher because of the false positive generated. So in solving this problem, the forward taint data analysis method performs double checks that will reduce the positive false value generated. Accuracy resulting from this research reached 90%. These results outperform other existing methods.

Item Type: Article
Uncontrolled Keywords: PHP Vulnerability, SQL Injection, XSS, Forward Taint analysis, Regular Expression.
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Ni Made Yunia Dwi Savitri
Date Deposited: 17 Nov 2022 01:34
Last Modified: 17 Nov 2022 01:34
URI: http://eprints.triatmamulya.ac.id/id/eprint/1798

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