Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/244808
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dc.titleLocalizing Patch Points From One Exploit.
dc.contributor.authorShen, Shiqi
dc.contributor.authorKolluri, Aashish
dc.contributor.authorDong, Zhen
dc.contributor.authorSaxena, Prateek
dc.contributor.authorRoychoudhury, Abhik
dc.date.accessioned2023-09-04T01:44:54Z
dc.date.available2023-09-04T01:44:54Z
dc.date.issued2020
dc.identifier.citationShen, Shiqi, Kolluri, Aashish, Dong, Zhen, Saxena, Prateek, Roychoudhury, Abhik (2020). Localizing Patch Points From One Exploit.. CoRR abs/2008.04516. ScholarBank@NUS Repository.
dc.identifier.issn2331-8422
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/244808
dc.description.abstractAutomatic patch generation can significantly reduce the window of exposure after a vulnerability is disclosed. Towards this goal, a long-standing problem has been that of patch localization: to find a program point at which a patch can be synthesized. We present PatchLoc, one of the first systems which automatically identifies such a location in a vulnerable binary, given just one exploit, with high accuracy. PatchLoc does not make any assumptions about the availability of source code, test suites, or specialized knowledge of the vulnerability. PatchLoc pinpoints valid patch locations in large real-world applications with high accuracy for about 88% of 43 CVEs we study. These results stem from a novel approach to automatically synthesizing a test-suite which enables probabilistically ranking and effectively differentiating between candidate program patch locations.
dc.sourceElements
dc.subjectcs.CR
dc.subjectcs.CR
dc.subjectcs.SE
dc.typeArticle
dc.date.updated2023-09-03T10:37:06Z
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.sourcetitleCoRR
dc.description.volumeabs/2008.04516
dc.published.stateUnpublished
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