Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patterns
ContextSQL injection (SQLI) and cross site scripting (XSS) are the two most common and serious web application vulnerabilities for the past decade. To mitigate these two security threats, many vulnerability detection approaches based on static and dynamic taint analysis techniques have been proposed...
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Main Authors: | SHAR, Lwin Khin, TAN, Hee Beng Kuan |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2013
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/4896 https://ink.library.smu.edu.sg/context/sis_research/article/5899/viewcontent/Predicting___PV.pdf |
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Institution: | Singapore Management University |
Language: | English |
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