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Cross-Site Request Forgery (CSRF) vulnerabilities are a severe class of webvulnerabilities that have received only marginal attention from the researchand security testing communities. While much effort has been spent oncountermeasures and detection of XSS and SQLi, to date, the detection of CSRFvulnerabilities is still performed predominantly manually.  In this paper, we present Deemon, to the best of our knowledge the firstautomated security testing framework to discover CSRF vulnerabilities. Ourapproach is based on a new modeling paradigm which captures multiple aspects ofweb applications, including execution traces, data flows, and architecturetiers in a unified, comprehensive property graph. We present the paradigm andshow how a concrete model can be built automatically using dynamic traces.Then, using graph traversals, we mine for potentially vulnerable operations.Using the information captured in the model, our approach then automaticallycreates and conducts security tests, to practically validate the found CSRFissues. We evaluate the effectiveness of Deemon with 10 popular open source webapplications. Our experiments uncovered 14 previously unknown CSRFvulnerabilities that can be exploited, for instance, to take over user accountsor entire websites.

Deemon: Detecting CSRF with Dynamic Analysis and Property Graphs