CPCED: a container escape detection system based on CNI plugin

Container escape detection is a critical research topic in the field of cloud security. Among the challenges faced in modern cloud security, the issue of container escape poses a significant threat due to its direct impact on the security of the host machine. Although recent research has proposed various methods to address such issue, they have shortcomings in terms of real-time capabilities and deployment in multinode environments. Meanwhile, container network interface (CNI) plugins provide network functionality for container management systems such as Kubernetes, offering ease of use and scalability. Therefore, we propose CPCED, a real-time container escape detection system running on a generic CNI plugin, and implement the prototype. The system defines the container namespace event that is used to detect insecure interactions by monitoring its changes in the permissions of the process namespace. To detect the events, an algorithm is proposed to extract suspicious process paths and command context in Kubernetes and Docker environments. The experimental results show that this system detects nine container escape vulnerabilities successfully. Compared to PACED, one of the real-time container escape attack detection systems, the memory usage of CPCED is reduced by 7.6% on average, and the average detection time of single vulnerability is 18.6% of PACED’s.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/trustcom63139.2024.00057
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21

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article

CPCED: a container escape detection system based on CNI plugin

Dongbin Wang, Yu Hao, Xu Zhang
1 citations
IoT-based Smart Home Systems
0.21
article

CPCED: a container escape detection system based on CNI plugin

Dongbin Wang, Yu Hao, Xu Zhang
article en
1 citations

Abstract

Container escape detection is a critical research topic in the field of cloud security. Among the challenges faced in modern cloud security, the issue of container escape poses a significant threat due to its direct impact on the security of the host machine. Although recent research has proposed various methods to address such issue, they have shortcomings in terms of real-time capabilities and deployment in multinode environments. Meanwhile, container network interface (CNI) plugins provide network functionality for container management systems such as Kubernetes, offering ease of use and scalability. Therefore, we propose CPCED, a real-time container escape detection system running on a generic CNI plugin, and implement the prototype. The system defines the container namespace event that is used to detect insecure interactions by monitoring its changes in the permissions of the process namespace. To detect the events, an algorithm is proposed to extract suspicious process paths and command context in Kubernetes and Docker environments. The experimental results show that this system detects nine container escape vulnerabilities successfully. Compared to PACED, one of the real-time container escape attack detection systems, the memory usage of CPCED is reduced by 7.6% on average, and the average detection time of single vulnerability is 18.6% of PACED’s.

Beijing University of Posts and Telecommunications (CN)
Innovation Fund
Affordable and clean energy
Openalex Percentile: Top 43%
IoT-based Smart Home Systems
0.21
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CPCED: a container escape detection system based on CNI plugin — Dongbin Wang, Yu Hao, et al. · (2024) | TGRS Research Map | TGRS