CVE-2026-118761

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{"affected": [{"affectedData": [{"product": "pipelines", "vendor": "kubeflow", "versions": [{"status": "affected", "version": "< 2.18.0"}]}], "source": "security-advisories@github.com"}], "cveTags": [], "descriptions": [{"lang": "en", "value": "Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0."}], "id": "CVE-2026-118761", "lastModified": "2026-10-30T17:18:03.880", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.1"}, "exploitabilityScore": 3.9, "impactScore": 3.6, "source": "security-advisories@github.com", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2026-118761", "options": [{"exploitation": "none"}, {"automatable": "yes"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2026-10-29T20:18:49.737846Z", "version": "2.0.3"}}]}, "published": "2026-10-29T17:18:06.907", "references": [{"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/commit/1121d9a081fdf9e2107c39abb2cd8947727c6953"}, {"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/commit/ba9ae72cc860e3afbea232185e4132fc2896cac5"}, {"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/pull/14171"}, {"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/pull/14186"}, {"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/releases/tag/2.18.0"}, {"source": "security-advisories@github.com", "url": "https://github.com/kubeflow/pipelines/security/advisories/GHSA-8fmv-6rg5-5924"}], "sourceIdentifier": "security-advisories@github.com", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-409"}], "source": "security-advisories@github.com", "type": "Secondary"}]}

{"bugzilla": {"description": "github.com/kubeflow/pipelines: Kubeflow Pipelines: Denial of Service via unbounded archive decompression", "id": "2563555", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2563555"}, "csaw": false, "cvss3": {"cvss3_base_score": "7.5", "cvss3_scoring_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "status": "draft"}, "cwe": "CWE-409", "details": ["Kubeflow Pipelines enables users to build and deploy portable, scalable machine learning workflows. Prior to 2.18.0, the API server decompressed uploaded pipeline archives without adequately bounding expanded data while locating or reading the pipeline file. A small ZIP or gzip-compressed tar archive can consume disproportionately large memory and exhaust API-server resources. Multipart pipeline and pipeline-version upload processing performs decompression before namespace authorization, so a reachable caller does not need a successful pipeline-create authorization decision. URL-import handlers authorize before fetching and decompressing a remote archive. The amount of expansion required to interrupt service depends on deployment resource limits and concurrent activity, and no specific archive is guaranteed to crash every deployment. This issue is fixed in version 2.18.0.", "A flaw was found in Kubeflow Pipelines. The API server does not properly restrict the size of decompressed data when processing uploaded archive files, performing decompression before authorization checks are completed. A remote, unauthenticated attacker could exploit this vulnerability by submitting a crafted compressed archive, causing excessive memory consumption and resulting in a Denial of Service (DoS)."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability."}, "name": "CVE-2026-118761", "package_state": [{"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ml-pipelines-api-server-v2-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ml-pipelines-driver-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ml-pipelines-launcher-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ml-pipelines-persistenceagent-v2-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Affected", "package_name": "rhoai/odh-ml-pipelines-scheduledworkflow-v2-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2026-10-29T16:37:44Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2026-118761\nhttps://nvd.nist.gov/vuln/detail/CVE-2026-118761\nhttps://github.com/kubeflow/pipelines/commit/1121d9a081fdf9e2107c39abb2cd8947727c6953\nhttps://github.com/kubeflow/pipelines/commit/ba9ae72cc860e3afbea232185e4132fc2896cac5\nhttps://github.com/kubeflow/pipelines/pull/14171\nhttps://github.com/kubeflow/pipelines/pull/14186\nhttps://github.com/kubeflow/pipelines/releases/tag/2.18.0\nhttps://github.com/kubeflow/pipelines/security/advisories/GHSA-8fmv-6rg5-5924"], "statement": "This vulnerability is rated as having an Important severity for Red Hat OpenShift AI because remote, unauthenticated network users who can reach the Data Science Pipelines API server can trigger a severe denial of service. The API server unpacks archive files before performing namespace-level authorization checks on multipart upload requests, allowing an attacker to submit highly compressed archives that consume disproportionate system memory. Because decompression amplification occurs before identity or permission verification, the resulting memory exhaustion can terminate or crash the pipeline server pod and disrupt pipeline operations cluster-wide.", "threat_severity": "Important"}

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