Osama Bajaber (Virginia Tech), Bo Ji (Virginia Tech), Peng Gao (Virginia Tech)

Tokens play a vital role in enterprise network access control by enabling secure authentication and authorization across various protocols (e.g., JSON Web Tokens, OAuth 2.0). This allows users to access authorized resources using valid access tokens, without the need to repeatedly submit credentials. However, the ambient trust granted to all processes within an authorized host, combined with long token lifetimes, creates an opportunity for malicious processes to hijack tokens and impersonate legitimate users. This threat affects a wide range of protocols and has led to numerous real-world incidents.

In this paper, we present NetCap, a new defense mechanism designed to prevent attackers from using stolen tokens to access unauthorized resources in enterprise environments. The core idea is to introduce unforgeable, process-level capabilities that are bound to authorized processes. These capabilities are continuously embedded in the processes' network traffic to target resources for validation and are frequently refreshed. This binding between process identity and capability ensures that even if access tokens are stolen by malicious processes, they cannot be used to pass authentication without valid capabilities. To support the high volume of requests generated by processes in the network, NetCap introduces a novel data-plane design based on programmable switches and eBPF. Through multiple optimization techniques, our system supports inline generation and embedding of capabilities, allowing large volumes of traffic to be processed at line rate with little overhead. Our extensive evaluations show that NetCap maintains line-rate network performance across a variety of protocols and real-world applications with negligible overhead, while effectively securing these applications against token theft attacks.

View More Papers

UIEE: Secure and Efficient User-space Isolated Execution Environment for...

Huaiyu Yan (Southeast University), Zhen Ling (Southeast University), Xuandong Chen (Southeast University), Xinhui Shao (Southeast University, City University of Hong Kong), Yier Jin (University of Science and Technology of China), Haobo Li (Southeast University), Ming Yang (Southeast University), Ping Jiang (Southeast University), Junzhou Luo (Southeast University, Fuyao University of Science and Technology)

Read More

IoTBec: An Accurate and Efficient Recurring Vulnerability Detection Framework...

Haoran Yang (Institute of Information Engineering, Chinese Academy of Sciences), Jiaming Guo (Institute of Information Engineering, Chinese Academy of Sciences), Shuangning Yang (School of Internet, Anhui University), Guoli Zhao (Institute of Information Engineering, Chinese Academy of Sciences), Qingqi Liu (Institute of Information Engineering, Chinese Academy of Sciences), Chi Zhang (Institute of Information Engineering, Chinese Academy…

Read More

Shadow in the Cache: Unveiling and Mitigating Privacy Risks...

Zhifan Luo (Zhejiang University), Shuo Shao (Zhejiang University), Su Zhang (Huawei Technology), Lijing Zhou (Huawei Technology), Yuke Hu (Zhejiang University), Chenxu Zhao (Zhejiang University), Zhihao Liu (Zhejiang University), Zhan Qin (Zhejiang University)

Read More