Kubernetes
CVE-2019-10223
MEDIUM
Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
Lifecycle Timeline
1DescriptionNVD
A security issue was discovered in the kube-state-metrics versions v1.7.0 and v1.7.1. An experimental feature was added to the v1.7.0 release that enabled annotations to be exposed as metrics. By default, the kube-state-metrics metrics only expose metadata about Secrets. However, a combination of the default kubectl behavior and this new feature can cause the entire secret content to end up in metric labels thus inadvertently exposing the secret content in metrics. This feature has been reverted and released as the v1.7.2 release. If you are running the v1.7.0 or v1.7.1 release, please upgrade to the v1.7.2 release as soon as possible.
AnalysisAI
A security issue was discovered in the kube-state-metrics versions v1.7.0 and v1.7.1. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and no vendor patch available.
Technical ContextAI
This vulnerability is classified as Exposure of Sensitive Information (CWE-200), which allows attackers to access sensitive data that should not be disclosed. A security issue was discovered in the kube-state-metrics versions v1.7.0 and v1.7.1. An experimental feature was added to the v1.7.0 release that enabled annotations to be exposed as metrics. By default, the kube-state-metrics metrics only expose metadata about Secrets. However, a combination of the default kubectl behavior and this new feature can cause the entire secret content to end up in metric labels thus inadvertently exposing the secret content in metrics. This feature has been reverted and released as the v1.7.2 release. If you are running the v1.7.0 or v1.7.1 release, please upgrade to the v1.7.2 release as soon as possible. Affected products include: Kubernetes Kube-State-Metrics, Redhat Openshift Container Platform.
RemediationAI
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.
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External POC / Exploit Code
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