Authors, Creators & Presenters: (Except Where Noted – The Following Authors Are From The Institute of Information Engineering, Chinese Academy Of Sciences) Fangming Gu, Qingli Guo, Jie Lu (Institute of Computing Technology, Chinese Academy of Sciences), Qinghe Xie , Beibei Zhao, Kangjie Lu (University of Minnesota), Hong Li, Xiaorui Gong
PAPER
Sheep’s Clothing, Wolf’s Data: Detecting Server-Induced Client Vulnerabilities in Windows Remote IPC
The Windows operating system employs various inter-process communication (IPC) mechanisms, typically involving a privileged server and a less privileged client. However, scenarios exist where the client has higher privileges, such as a performance monitor running as a domain controller obtaining data from a domain member via IPC. In these cases, the server can be compromised and send crafted data to the client. Despite the increase in Windows client applications, existing research has overlooked potential client-side vulnerabilities, which can be equally harmful. This paper introduces GLEIPNIR, the first vulnerability detection tool for Windows remote IPC clients. GLEIPNIR identifies client-side vulnerabilities by fuzzing IPC call return values and introduces a snapshot technology to enhance testing efficiency. Experiments on 76 client applications demonstrate that GLEIPNIR can identify 25 vulnerabilities within 7 days, resulting in 14 CVEs and a bounty of $36,000.
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The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
