Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations

Kubernetes has emerged as the de facto standard for container orchestration. Unfortunately, its increasing popularity has also made it an attractive target for malicious actors. Despite extensive research on securing Kubernetes, little attention has been paid to the impact of network configuration on the security of application deployments. This paper addresses this gap by conducting a comprehensive analysis of network misconfigurations in a Kubernetes cluster with specific reference to lateral movement. Accordingly, we carried out an extensive evaluation of 287 open-source applications belonging to six different organizations, ranging from IT companies and public entities to non-profits. As a result, we identified 634 misconfigurations, well beyond what could be found by solutions in the state of the art. We responsibly disclosed our findings to the concerned organizations and engaged in a discussion to assess their severity. As of now, misconfigurations affecting more than thirty applications have been fixed with the mitigations we proposed.

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Publication Details

Journal
Proceedings of the ACM on Networking
Published
2025-09-03
DOI
https://doi.org/10.1145/3749220
Citations
2
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
2.97

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article

Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations

Jacopo Bufalino, Tuomas Aura, Jose Luis Martín-Navarro, Mario Di Francesco
2 citations
Proceedings of the ACM on Networking
Network Security and Intrusion Detection
2.97
article

Inside Job: Defending Kubernetes Clusters Against Network Misconfigurations

Jacopo Bufalino, Tuomas Aura, Jose Luis Martín-Navarro, Mario Di Francesco
article en
2 citations

Abstract

Kubernetes has emerged as the de facto standard for container orchestration. Unfortunately, its increasing popularity has also made it an attractive target for malicious actors. Despite extensive research on securing Kubernetes, little attention has been paid to the impact of network configuration on the security of application deployments. This paper addresses this gap by conducting a comprehensive analysis of network misconfigurations in a Kubernetes cluster with specific reference to lateral movement. Accordingly, we carried out an extensive evaluation of 287 open-source applications belonging to six different organizations, ranging from IT companies and public entities to non-profits. As a result, we identified 634 misconfigurations, well beyond what could be found by solutions in the state of the art. We responsibly disclosed our findings to the concerned organizations and engaged in a discussion to assess their severity. As of now, misconfigurations affecting more than thirty applications have been fixed with the mitigations we proposed.

Proceedings of the ACM on NetworkingVol. 3(CoNEXT3)
Conservatoire National des Arts et Métiers (FR), Universitat Politècnica de València (ES), Aalto University (FI)
European Commission, Instituto Nacional de Ciberseguridad
Openalex Percentile: Top 7%
Network Security and Intrusion Detection
2.97
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