{"data":{"id":"d09c8422-d499-485d-bb9e-632c76b56f04","title":"CVE-2026-88982: Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0…","summary":"Kubeflow Pipelines versions before 2.18.0 have a flaw in the legacy V1/raw-Argo execution cache, where the mutating webhook and cache-server storage path hash template fields without the Kubernetes namespace and trust the mutable pipelines.kubeflow.org/execution_cache_key annotation. In multi-user deployments sharing the cache service, a tenant with workload-submission privileges can read another namespace's cached outputs or seed outputs substituted into a later step. Standard KFP V2 component pods bypass this cache, and arbitrary code execution or availability impact is not established.","solution":"Fixed in version 2.18.0.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-88982","publishedAt":"2026-11-05T23:17:01.600Z","cveId":"CVE-2026-88982","cweIds":["CWE-345","CWE-639"],"cvssScore":"5.4","cvssSeverity":"medium","severity":"medium","attackType":["data_extraction"],"issueType":"vulnerability","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["Kubeflow Pipelines"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"Kubeflow Pipelines execution cache exposes cached outputs across namespaces","headlinePromptVersion":"h1","cvssVector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N","attackVector":"network","attackComplexity":"low","privilegesRequired":"low","userInteraction":"none","exploitMaturity":"unknown","epssScore":0,"epssCheckedAt":"2026-11-06T06:09:43.499Z","kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":"2026-11-06T06:09:47.301Z","patchAvailable":null,"disclosureDate":"2026-11-05T23:17:01.600Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null,"fixes":[]}}