A Vulnerability Taxonomy Methodology applied to Web Services

We present a methodology for taxonifying vulnerabilities based on the likelihood that they will be present in a certain system. It attempts to capture and formalize the intuition that allows security professionals to make predictions about likely security problems. The method exploits the realization that the vulnerabilities present in a system are related to the set of properties that de ne the system. By modeling it using a selection of relevant properties and correlating this with the body of knowledge on historic vulnerabilities and the systems in which they lived, we obtain a heuristic of the likelihood that these vulnerabilities will reappear in a new system. The predictive nature of this methodology serves as an early warning for systems before they are widely deployed. As an example we apply our methodology to Web Services, thereby providing a tool to focus e orts in securing Web Services.

By: Chris Vanden Berghe; James Riordan; Frank Piessens

Published in: Tartu, Estonia in 2005


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