Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/35873
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dc.titleSystematically enhancing black-box web vulnerability scanners
dc.contributor.authorVENKATRAMAN SAI SATHYANARAYAN
dc.date.accessioned2012-12-31T18:03:41Z
dc.date.available2012-12-31T18:03:41Z
dc.date.issued2012-08-23
dc.identifier.citationVENKATRAMAN SAI SATHYANARAYAN (2012-08-23). Systematically enhancing black-box web vulnerability scanners. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/35873
dc.description.abstractBlack-box web vulnerability scanners are a class of tools that can be used in finding security vulnerabilities in web applications automatically regardless of server-side language implementation. These tools access a web application in the same way users do. Unfortunately, black-box tools both commercial and open-source suffer from a number of limitations. In particular, advanced SQL Injection (SQLI) vulnerabilities and authentication protocol implementation flaws are not currently detected by any of these tools. In this thesis, we propose two approaches to handle the above limitations - SQLR(SQLi Revisited) and WeakAuthScan.
dc.language.isoen
dc.subjectWeb Security, Black Box Scanner, Attack, Hacker, SQL Injection, Authentication
dc.typeThesis
dc.contributor.departmentCOMPUTER SCIENCE
dc.contributor.supervisorLIANG ZHENKAI
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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