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Chainsaw: Chained Automated Workflow-based Exploit Generation

Abeer Alhuzali, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan

2016Year
52Citations
17Top-tier citations

Abstract

We tackle the problem of automated exploit generation for web applications. In this regard, we present an approach that significantly improves the state-of-art in web injection vulnerability identification and exploit generation. Our approach for exploit generation tackles various challenges associated with typical web application characteristics: their multi-module nature, interposed user input, and multi-tier architectures using a database backend. Our approach develops precise models of application workflows, database schemas, and native functions to achieve high quality exploit generation. We implemented our approach in a tool called Chainsaw. Chainsaw was used to analyze 9 open source applications and generated over 199 first-and second-order injection exploits combined, significantly outperforming several related approaches.

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