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Abstract Although a large research effort has been Although a large research effort has been going on for more than a decade, the security of web applications continues to be a challenging problem. An important part of that problem derives from vulnerable source code, often written in unsafe languages like PHP. Source code static analysis tools are a solution to find vulnerabilities, but they tend to generate false positives and require considerable effort for programmers to manually fix the code. We explore the use of a combination of methods to discover vulnerabilities in source code with less false positives. We combine taint analysis, which finds candidate vulnerabilities, with data mining, in order to predict the existence of false positives. This approach brings together two approaches that are apparently orthogonal: humans coding the knowledge about vulnerabilities (for taint analysis) versus automatically obtaining that knowledge (with machine learning, for data mining). Given this enhanced form of detection, we propose doing automatic code correction by inserting fixes in the source code. Our approach was implemented in the WAP tool and an experimental evaluation was performed with a large set of PHP applications. Our tool found 388 vulnerabilities in 1.4 million lines of code. Its accuracy and precision were approximately 5% better than PhpMinerII’s and 45% better than Pixy’s. n PhpMinerII’s and 45% better than Pixy’s.
Author Ibéria Medeiros + , Nuno Ferreira Neves + , Miguel Correia +
Document Document for Publication-IEEETR15.pdf +
Journal IEEE Transactions on Reliability  +
Key IEEETR15  +
Month mar  +
NumPubDate 2,016.03  +
Pages 54–69  +
Project Project:SEGRID +
ResearchLine Fault and Intrusion Tolerance in Open Distributed Systems (FIT) +
Title Detecting and Removing Web Application Vulnerabilities with Static Analysis and Data Mining  +
Type article  +
Volume 65  +
Year 2016  +
Has improper value forThis property is a special property in this wiki. Url  +
Categories Publication  +
Modification dateThis property is a special property in this wiki. 5 June 2016 07:47:51  +
NumberThis property is a special property in this wiki. 1  +
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