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SWAN is a machine-learning approach for detection of methods of interest for security in Java libraries.
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SWAN should be used in combination with other static analyses tools. It helps the users to create a set of relevant methods required as an input for static analyses, e.g. taint- and type-state analysis.
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SWAN detects four types of methods: source, sink, sanitizer, and authentication method.
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The found methods are further categorized according to relevant vulnerabilities (Common Weakness Enumeration - CWE). Curretntly MOIS supports the following CWEs: CWE078, CWE079, CWE089, CWE306, CWE601, CWE862, and CWE863.
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The found methods are further categorized according to relevant vulnerabilities (Common Weakness Enumeration - CWE). Curretntly SWAN supports the following CWEs: CWE078, CWE079, CWE089, CWE306, CWE601, CWE862, and CWE863.
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