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Vendor Workaround
To mitigate this issue, ensure that Data Science Project (DSP) namespaces enforce `pod-security.kubernetes.io/enforce: restricted`. Additionally, verify that the `pipeline-runner` ServiceAccount is not bound to `privileged` or `anyuid` Security Context Constraints (SCCs).
Tracking
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Tue, 11 Aug 2026 00:15:00 +0000
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threat_severity
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threat_severity
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Mon, 10 Aug 2026 21:00:00 +0000
| Type | Values Removed | Values Added |
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| Description | A flaw was found in Data Science Pipelines (DSP). An attacker with namespace editor privileges can bypass security hardening by submitting a malicious Argo Workflow through the V1 API path. This allows the API server to create pods with elevated privileges, acting as a 'confused deputy' on behalf of the attacker. Successful exploitation grants the attacker node-root access, enabling arbitrary code execution and full control over the underlying node. | |
| Title | Data-sciences-pipeline: dsp: v1 argo template path accepts arbitrary workflow spec, bypassing all v2 security hardening | |
| First Time appeared |
Redhat
Redhat ai Inference Server Redhat openshift Ai |
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| Weaknesses | CWE-266 | |
| CPEs | cpe:/a:redhat:ai_inference_server:3 cpe:/a:redhat:openshift_ai |
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| Vendors & Products |
Redhat
Redhat ai Inference Server Redhat openshift Ai |
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cvssV3_1
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Status: PUBLISHED
Assigner: redhat
Published:
Updated: 2026-08-10T20:44:37.373Z
Reserved: 2026-08-03T08:02:21.941Z
Link: CVE-2026-18621
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OpenCVE Enrichment
Updated: 2026-08-10T22:45:05Z