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Procedia Computer Science
Article . 2011 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article . 2011
License: CC BY NC ND
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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SQL-injection vulnerability scanning tool for automatic creation of SQL-injection attacks

Authors: Abdul Bashah Mat Ali; Ala' Yaseen Ibrahim Shakhatreh; Mohd Syazwan Abdullah; Jasem M. Alostad;

SQL-injection vulnerability scanning tool for automatic creation of SQL-injection attacks

Abstract

AbstractSecuring the web against frequent cyber attacks is a big concern as attackers usually intend to snitch private information, financial information, deface and damages websites to prove their hacking capabilities. This type of vandalism may drive many corporations that conduct their business through the web to suffer financial and reputation damages. One of the most dangerous cyber attacks is the Structured Query Language (SQL)-injection attack, whereby this type of attack can be launched through the web browsers. The vulnerability of SQL-injection attack can be attributed to inappropriate programming practice by the website developers, which leaves a lot of doors widely open for the attackers to exploit these and gaining access to confidential information that resides in the website server databases. In order to address this vulnerability, it must be feasible to detect the vulnerability and enhance the coding structure of the website to avoid being an easy victim to this type of cyber attacks. Detecting the SQL-injection vulnerability requires the development of a powerful tool that can automatically create SQLinjection attacks using efficient features (different attacking patters) to detect the vulnerability of the websites. This paper discuss the development of a new web scanning (MySQLlInjector) tool with enhanced features that will be able to conduct efficient penetration test on PHP (started as Personal Home Page but now widely used as Hypertext Preprocesses) based websites to detect SQL injection vulnerabilities. This tool will automate the penetration test process, to make it easy even for those who are not aware familiar about hacking techniques.

Country
Malaysia
Keywords

SQL injection, QA76 Computer software, Database security, SQL vulnerability

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
gold