Pendeteksian PHP Vulnerabilities Menggunakan Metode Forward Taint Data Analisis

Shyffa Ilmallia Noer Fhadillah
Parman Sukarno
Aulia Arif Wardana

JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Vol 7 No 1 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)

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.