Lom: Discovering logic flaws within MongoDB-based web applications

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• 作者：Shuo Wen ; Yuan Xue ; Jing Xu ; Li-Ying Yuan…
• 关键词：Logic flaw ; web application security ; not only structured query language (NoSQL) database ; black ; box ; MongoDB
• 刊名：International Journal of Automation and Computing
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：14
• 期：1
• 页码：106-118
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Control, Robotics, Mechatronics; Computer Applications; Computer-Aided Engineering (CAD, CAE) and Design;
• 出版者：Institute of Automation, Chinese Academy of Sciences
• ISSN：1751-8520
• 卷排序：14

文摘

Logic flaws within web applications will allow malicious operations to be triggered towards back-end database. Existing approaches to identifying logic flaws of database accesses are strongly tied to structured query language (SQL) statement construction and cannot be applied to the new generation of web applications that use not only structured query language (NoSQL) databases as the storage tier. In this paper, we present Lom, a black-box approach for discovering many categories of logic flaws within MongoDBbased web applications. Our approach introduces a MongoDB operation model to support new features of MongoDB and models the application logic as a mealy finite state machine. During the testing phase, test inputs which emulate state violation attacks are constructed for identifying logic flaws at each application state. We apply Lom to several MongoDB-based web applications and demonstrate its effectiveness.