Kubernetes
CVE-2023-3361
HIGH
Severity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Lifecycle Timeline
1DescriptionNVD
A flaw was found in Red Hat OpenShift Data Science. When exporting a pipeline from the Elyra notebook pipeline editor as Python DSL or YAML, it reads S3 credentials from the cluster (ds pipeline server) and saves them in plain text in the generated output instead of an ID for a Kubernetes secret.
AnalysisAI
A flaw was found in Red Hat OpenShift Data Science. Rated high severity (CVSS 7.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. 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 flaw was found in Red Hat OpenShift Data Science. When exporting a pipeline from the Elyra notebook pipeline editor as Python DSL or YAML, it reads S3 credentials from the cluster (ds pipeline server) and saves them in plain text in the generated output instead of an ID for a Kubernetes secret. Affected products include: Opendatahub Open Data Hub Dashboard, Redhat Openshift Data Science.
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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