CVE-2026-93685 in Advanced Cluster Management for Kubernetes
Summary
by MITRE • 09/18/2026
A flaw was found in the multicluster-observability-addon. A remote attacker can access a debug endpoint without authentication, due to a misconfiguration in the underlying addon-framework library. This allows for the disclosure of sensitive operational information, such as goroutine, heap, and command-line details, after completing a basic encrypted connection. This vulnerability does not enable direct remote code execution.
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Analysis
by VulDB Data Team • 09/18/2026
The multicluster-observability-addon contains a critical security misconfiguration within its underlying addon-framework library that exposes an unauthenticated debug endpoint to the network. This flaw stems from improper access control policies applied during the initialization of diagnostic interfaces, which are typically intended for local or authenticated administrative use only. By failing to enforce strict authentication mechanisms on these endpoints, the software inadvertently allows any remote actor with network connectivity to interact with sensitive internal tools designed for runtime inspection and debugging purposes.
The technical nature of this vulnerability is classified as a broken access control issue where security controls are bypassed due to configuration errors rather than code logic flaws in the application itself. The attacker can establish a basic encrypted connection, such as HTTPS or TLS, to reach these endpoints without providing valid credentials. Once connected, the system responds by returning detailed internal state information including goroutine stacks, heap profiles, and command-line arguments used during startup. This data is not sanitized for external consumption and reveals deep insights into the application's runtime environment that should remain strictly confidential.
The operational impact of this disclosure is significant as it facilitates reconnaissance activities that can lead to further exploitation attempts. While the vulnerability does not directly enable remote code execution, the exposure of goroutine details allows attackers to understand thread management and potential race conditions within the service. Heap information may reveal memory allocation patterns or sensitive data structures residing in RAM, while command-line arguments often contain configuration paths, internal hostnames, API keys, or other secrets passed at startup. This intelligence gathering phase is a precursor to more severe attacks such as denial of service via resource exhaustion or targeted exploitation based on known library versions and configurations identified through the exposed metadata.
From an industry standard perspective, this vulnerability aligns with CWE-284 Improper Access Control and CWE-532 Information Exposure Through Debug Information. In terms of attack vectors, it corresponds to ATT&CK technique T1078 Valid Accounts if credentials were required but bypassed, or more accurately T1082 System Information Discovery when considering the passive gathering of system details without authentication. The lack of authentication on diagnostic endpoints is a common anti-pattern in cloud-native applications that prioritize convenience over security during development and testing phases.
Mitigation strategies must focus on immediate remediation of the addon-framework configuration to disable or restrict access to debug endpoints in production environments. Access should be limited to localhost only using network-level controls such as firewall rules or service mesh policies, ensuring that these interfaces are not exposed to external networks. Additionally, implementing strict authentication and authorization checks for all diagnostic APIs is essential. Organizations should also conduct a thorough audit of their observability addons to ensure no other endpoints suffer from similar misconfigurations. Regular security assessments and automated scanning for information disclosure vulnerabilities can help prevent the recurrence of such issues in future deployments.