By Topic

Supporting automated vulnerability analysis using formalized vulnerability signatures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Almorsy, M. ; Fac. of Inf. & Commun. Technol., Swinburne Univ. of Technol., Hawthorn, VIC, Australia ; Grundy, J. ; Ibrahim, A.S.

Adopting publicly accessible platforms such as cloud computing model to host IT systems has become a leading trend. Although this helps to minimize cost and increase availability and reachability of applications, it has serious implications on applications' security. Hackers can easily exploit vulnerabilities in such publically accessible services. In addition to, 75% of the total reported application vulnerabilities are web application specific. Identifying such known vulnerabilities as well as newly discovered vulnerabilities is a key challenging security requirement. However, existing vulnerability analysis tools cover no more than 47% of the known vulnerabilities. We introduce a new solution that supports automated vulnerability analysis using formalized vulnerability signatures. Instead of depending on formal methods to locate vulnerability instances where analyzers have to be developed to locate specific vulnerabilities, our approach incorporates a formal vulnerability signature described using OCL. Using this formal signature, we perform program analysis of the target system to locate signature matches (i.e. signs of possible vulnerabilities). A newly-discovered vulnerability can be easily identified in a target program provided that a formal signature for it exists. We have developed a prototype static vulnerability analysis tool based on our formalized vulnerability signatures specification approach. We have validated our approach in capturing signatures of the OWSAP Top10 vulnerabilities and applied these signatures in analyzing a set of seven benchmark applications.

Published in:

Automated Software Engineering (ASE), 2012 Proceedings of the 27th IEEE/ACM International Conference on

Date of Conference:

3-7 Sept. 2012