Table of Contents
Fetching ...

Centralized Defense: Logging and Mitigation of Kubernetes Misconfigurations with Open Source Tools

Eoghan Russell, Kapal Dev

TL;DR

Kubernetes misconfigurations pose significant security and reliability risks in cloud-native deployments. The paper proposes a centralized logging solution that integrates multiple open-source scanners to detect misconfigurations, normalize outputs, and present advisory defenses through a MongoDB-backed web interface, enabling RBAC-secured, real-time visibility for administrators. Through architectural design and a Dockerized implementation, the work demonstrates feasibility and provides a cross-tool performance evaluation (roughly 30–37 seconds per cycle) and a comparative analysis of tool outputs. The study highlights challenges in output standardization and proposes future enhancements such as drag-and-drop tool integration and ML-based reconciliation, underscoring the practical impact of a unified security logging platform for Kubernetes ecosystems.

Abstract

Kubernetes, an open-source platform for automating the deployment, scaling, and management of containerized applications, is widely used for its efficiency and scalability. However, its complexity and extensive configuration options often lead to security vulnerabilities if not managed properly. This paper presents a detailed analysis of misconfigurations in Kubernetes environments and their significant impact on system reliability and security. A centralized logging solution was developed to detect such misconfigurations, detailing the integration process with a Kubernetes cluster and the implementation of role-based access control. Utilizing a combination of open-source tools, the solution systematically identifies misconfigurations and aggregates diagnostic data into a central repository. The effectiveness of the solution was evaluated using specific metrics, such as the total cycle time for running the central logging solution against the individual open source tools.

Centralized Defense: Logging and Mitigation of Kubernetes Misconfigurations with Open Source Tools

TL;DR

Kubernetes misconfigurations pose significant security and reliability risks in cloud-native deployments. The paper proposes a centralized logging solution that integrates multiple open-source scanners to detect misconfigurations, normalize outputs, and present advisory defenses through a MongoDB-backed web interface, enabling RBAC-secured, real-time visibility for administrators. Through architectural design and a Dockerized implementation, the work demonstrates feasibility and provides a cross-tool performance evaluation (roughly 30–37 seconds per cycle) and a comparative analysis of tool outputs. The study highlights challenges in output standardization and proposes future enhancements such as drag-and-drop tool integration and ML-based reconciliation, underscoring the practical impact of a unified security logging platform for Kubernetes ecosystems.

Abstract

Kubernetes, an open-source platform for automating the deployment, scaling, and management of containerized applications, is widely used for its efficiency and scalability. However, its complexity and extensive configuration options often lead to security vulnerabilities if not managed properly. This paper presents a detailed analysis of misconfigurations in Kubernetes environments and their significant impact on system reliability and security. A centralized logging solution was developed to detect such misconfigurations, detailing the integration process with a Kubernetes cluster and the implementation of role-based access control. Utilizing a combination of open-source tools, the solution systematically identifies misconfigurations and aggregates diagnostic data into a central repository. The effectiveness of the solution was evaluated using specific metrics, such as the total cycle time for running the central logging solution against the individual open source tools.
Paper Structure (10 sections, 5 figures, 3 tables)

This paper contains 10 sections, 5 figures, 3 tables.

Figures (5)

  • Figure 1: The Kubernetes attack matrix enumerates various methods attackers employ to accomplish the nine tactics specified in the Mitre ATT&CK framework noauthor_mitre_2024: Initial Access, Execution, Persistence, Privilege Escalation, Defense Evasion, Credential Access, Discovery, Lateral Movement, and Impact. weizman_threat_2020
  • Figure 2: Central logging solution flow
  • Figure 3: Homepage of CLS
  • Figure 4: Severity level page
  • Figure 5: Collection page