{"api_version":"1","generated_at":"2026-08-11T11:31:31+00:00","cve":"CVE-2026-18621","urls":{"html":"https://cve.report/CVE-2026-18621","api":"https://cve.report/api/cve/CVE-2026-18621.json","docs":"https://cve.report/api","cve_org":"https://www.cve.org/CVERecord?id=CVE-2026-18621","nvd":"https://nvd.nist.gov/vuln/detail/CVE-2026-18621"},"summary":{"title":"Data-sciences-pipeline: dsp: v1 argo template path accepts arbitrary workflow spec, bypassing all v2 security hardening","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.","state":"PUBLISHED","assigner":"redhat","published_at":"2026-08-10 21:17:20","updated_at":"2026-08-11 05:17:13"},"problem_types":["CWE-266","CWE-266 Incorrect Privilege Assignment"],"metrics":[{"version":"3.1","source":"secalert@redhat.com","type":"Secondary","score":"7.6","severity":"HIGH","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","data":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","baseScore":7.6,"baseSeverity":"HIGH","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"LOW","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"LOW","availabilityImpact":"LOW"}},{"version":"3.1","source":"CNA","type":"CVSS","score":"7.6","severity":"HIGH","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","data":{"attackComplexity":"LOW","attackVector":"NETWORK","availabilityImpact":"LOW","baseScore":7.6,"baseSeverity":"HIGH","confidentialityImpact":"HIGH","integrityImpact":"LOW","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","version":"3.1"}}],"references":[{"url":"https://access.redhat.com/security/cve/CVE-2026-18621","name":"https://access.redhat.com/security/cve/CVE-2026-18621","refsource":"secalert@redhat.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2510327","name":"https://bugzilla.redhat.com/show_bug.cgi?id=2510327","refsource":"secalert@redhat.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://access.redhat.com/errata/RHSA-2026:53263","name":"https://access.redhat.com/errata/RHSA-2026:53263","refsource":"secalert@redhat.com","tags":[],"title":"","mime":"","httpstatus":"","archivestatus":"0"},{"url":"https://www.cve.org/CVERecord?id=CVE-2026-18621","name":"CVE Program record","refsource":"CVE.ORG","tags":["canonical"]},{"url":"https://nvd.nist.gov/vuln/detail/CVE-2026-18621","name":"NVD vulnerability detail","refsource":"NVD","tags":["canonical","analysis"]}],"affected":[{"source":"CNA","vendor":"Red Hat","product":"Red Hat OpenShift AI 3.3","version":"unaffected 1785187920 * rpm","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]},{"source":"CNA","vendor":"Red Hat","product":"Red Hat AI Inference Server","version":"","platforms":[]}],"timeline":[{"source":"CNA","time":"2026-08-03T07:59:56.820Z","lang":"en","value":"Reported to Red Hat."},{"source":"CNA","time":"2026-08-10T18:50:45.424Z","lang":"en","value":"Made public."}],"solutions":[],"workarounds":[{"source":"CNA","title":"","value":"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).","time":"","lang":"en"}],"exploits":[],"credits":[],"nvd_cpes":[],"vendor_comments":[],"enrichments":{"kev":null,"epss":null,"legacy_qids":[]},"source_records":{"cve_program":{"containers":{"cna":{"affected":[{"collectionURL":"https://catalog.redhat.com/software/containers/","cpes":["cpe:/a:redhat:openshift_ai:3.3::el9"],"defaultStatus":"affected","packageName":"rhoai/odh-ml-pipelines-api-server-v2-rhel9","product":"Red Hat OpenShift AI 3.3","vendor":"Red Hat","versions":[{"lessThan":"*","status":"unaffected","version":"1785187920","versionType":"rpm"}]},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-cpu-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-cuda-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-neuron-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-rocm-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-spyre-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaiis/vllm-tpu-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-cpu-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-cuda-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-gaudi-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-neuron-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-rocm-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-spyre-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"},{"collectionURL":"https://access.redhat.com/downloads/content/package-browser/","cpes":["cpe:/a:redhat:ai_inference_server:3"],"defaultStatus":"unknown","packageName":"rhaii/vllm-tpu-rhel9","product":"Red Hat AI Inference Server","vendor":"Red Hat"}],"datePublic":"2026-08-10T18:50:45.424Z","descriptions":[{"lang":"en","value":"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."}],"metrics":[{"other":{"content":{"namespace":"https://access.redhat.com/security/updates/classification/","value":"Important"},"type":"Red Hat severity rating"}},{"cvssV3_1":{"attackComplexity":"LOW","attackVector":"NETWORK","availabilityImpact":"LOW","baseScore":7.6,"baseSeverity":"HIGH","confidentialityImpact":"HIGH","integrityImpact":"LOW","privilegesRequired":"LOW","scope":"UNCHANGED","userInteraction":"NONE","vectorString":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","version":"3.1"},"format":"CVSS"}],"problemTypes":[{"descriptions":[{"cweId":"CWE-266","description":"Incorrect Privilege Assignment","lang":"en","type":"CWE"}]}],"providerMetadata":{"dateUpdated":"2026-08-11T04:41:27.177Z","orgId":"53f830b8-0a3f-465b-8143-3b8a9948e749","shortName":"redhat"},"references":[{"name":"RHSA-2026:53263","tags":["vendor-advisory","x_refsource_REDHAT"],"url":"https://access.redhat.com/errata/RHSA-2026:53263"},{"tags":["vdb-entry","x_refsource_REDHAT"],"url":"https://access.redhat.com/security/cve/CVE-2026-18621"},{"name":"RHBZ#2510327","tags":["issue-tracking","x_refsource_REDHAT"],"url":"https://bugzilla.redhat.com/show_bug.cgi?id=2510327"}],"timeline":[{"lang":"en","time":"2026-08-03T07:59:56.820Z","value":"Reported to Red Hat."},{"lang":"en","time":"2026-08-10T18:50:45.424Z","value":"Made public."}],"title":"Data-sciences-pipeline: dsp: v1 argo template path accepts arbitrary workflow spec, bypassing all v2 security hardening","workarounds":[{"lang":"en","value":"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)."}],"x_generator":{"engine":"cvelib 1.8.0"},"x_redhatCweChain":"CWE-266: Incorrect Privilege Assignment"}},"cveMetadata":{"assignerOrgId":"53f830b8-0a3f-465b-8143-3b8a9948e749","assignerShortName":"redhat","cveId":"CVE-2026-18621","datePublished":"2026-08-10T20:44:37.373Z","dateReserved":"2026-08-03T08:02:21.941Z","dateUpdated":"2026-08-11T04:41:27.177Z","state":"PUBLISHED"},"dataType":"CVE_RECORD","dataVersion":"5.2"},"nvd":{"publishedDate":"2026-08-10 21:17:20","lastModifiedDate":"2026-08-11 05:17:13","problem_types":["CWE-266","CWE-266 Incorrect Privilege Assignment"],"metrics":{"cvssMetricV31":[{"source":"secalert@redhat.com","type":"Secondary","cvssData":{"version":"3.1","vectorString":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:L","baseScore":7.6,"baseSeverity":"HIGH","attackVector":"NETWORK","attackComplexity":"LOW","privilegesRequired":"LOW","userInteraction":"NONE","scope":"UNCHANGED","confidentialityImpact":"HIGH","integrityImpact":"LOW","availabilityImpact":"LOW"},"exploitabilityScore":2.8,"impactScore":4.7}]},"configurations":[]},"legacy_mitre":{"record":{"CveYear":"2026","CveId":"18621","Ordinal":"1","Title":"Data-sciences-pipeline: dsp: v1 argo template path accepts arbit","CVE":"CVE-2026-18621","Year":"2026"},"notes":[{"CveYear":"2026","CveId":"18621","Ordinal":"1","NoteData":"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.","Type":"Description","Title":"Data-sciences-pipeline: dsp: v1 argo template path accepts arbit"}]}}}