CVE-2025-15381

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This allows any authenticated user, including those with `NO_PERMISSIONS` on the experiment, to read trace information and create assessments for traces they should not have access to. This vulnerability impacts confidentiality by exposing trace metadata and integrity by allowing unauthorized creation of assessments. Deployments using `mlflow server --app-name=basic-auth` are affected."}, {"lang": "es", "value": "En la \u00faltima versi\u00f3n de mlflow/mlflow, cuando la aplicaci\u00f3n 'basic-auth' est\u00e1 habilitada, los puntos finales de trazado y evaluaci\u00f3n no est\u00e1n protegidos por validadores de permisos. Esto permite a cualquier usuario autenticado, incluidos aquellos con 'NO_PERMISSIONS' en el experimento, leer informaci\u00f3n de trazas y crear evaluaciones para trazas a las que no deber\u00edan tener acceso. Esta vulnerabilidad afecta la confidencialidad al exponer metadatos de trazas y la integridad al permitir la creaci\u00f3n no autorizada de evaluaciones. Las implementaciones que utilizan 'mlflow server --app-name=basic-auth' se ven afectadas."}], "id": "CVE-2025-15381", "lastModified": "2026-11-03T22:17:33.403", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N", "version": "3.0"}, "exploitabilityScore": 2.8, "impactScore": 5.2, "source": "security@huntr.dev", "type": "Secondary"}], "cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 7.1, "baseSeverity": "HIGH", "confidentialityImpact": "LOW", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 4.2, "source": "nvd@nist.gov", "type": "Primary"}, {"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "NONE", "baseScore": 8.1, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "LOW", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 5.2, "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "type": "Secondary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2025-15381", "options": [{"exploitation": "none"}, {"automatable": "no"}, {"technicalImpact": "total"}], "role": "CISA Coordinator", "timestamp": "2026-03-28T03:55:50.578690Z", "version": "2.0.3"}}]}, "published": "2026-03-27T17:16:26.573", "references": [{"source": "security@huntr.dev", "tags": ["Exploit", "Third Party Advisory"], "url": "https://huntr.com/bounties/149fb2f9-ef4b-4136-a25c-20563451904c"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "url": "https://access.redhat.com/security/cve/CVE-2025-15381"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2452341"}, {"source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15381.json"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Modified", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-200"}], "source": "security@huntr.dev", "type": "Secondary"}, {"description": [{"lang": "en", "value": "NVD-CWE-noinfo"}], "source": "nvd@nist.gov", "type": "Secondary"}, {"description": [{"lang": "en", "value": "CWE-425"}], "source": "0b0ca135-0b70-47e7-9f44-1890c2a1c46c", "type": "Secondary"}]}

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{"affected": [{"configurations": [{"platform": null, "status": "affected", "versions": {"scheme": "generic", "value": "[0,*]"}}], "enrichment": {"confidence": 100.0, "confidence_source": "cna", "scores": [{"score": 100.0, "source": "cna"}]}, "original": {"product": "mlflow/mlflow", "source": "cna", "vendor": "mlflow"}, "product": "mlflow/mlflow", "vendor": "mlflow"}], "analysis": {"en": {"generated_at": "2026-04-28T21:55:58.736487+00:00", "value": {"mitigation_remediation": ["Disable the basic\u2011auth app unless it is essential for your deployment.", "Upgrade to a version of MLflow where tracing and assessment endpoints enforce permission validation, or apply any vendor\u2011issued patch.", "Restrict authenticated users to only the experiments they are authorized to view by configuring role\u2011based access controls.", "Verify that the server does not expose the vulnerability by attempting to access trace or assessment URLs with a user that lacks experiment permissions.", "Monitor logs for abnormal tracing or assessment activity and apply remediation immediately if unauthorized actions are detected."], "summary": {"action": "Immediate Patch", "impact": "Confidentiality and Integrity"}, "threat_synthesis": {"affected_systems": "The flaw affects installations of the MLflow data science platform that enable the basic\u2011auth app by launching the server with the option --app-name=basic-auth. All releases of MLflow that include this configuration are vulnerable; no specific version is listed, so any deployment running the app in this manner is impacted.", "description_and_impact": "During operation of the mlflow server, enabling the basic\u2011auth application removes permission checks from tracing and assessment endpoints. An authenticated user who normally lacks access to an experiment can therefore read all trace metadata and create new assessments for traces they should not see. This exposes sensitive data about runs and allows tampering with assessment results, potentially misleading downstream analytics or search results.", "risk_and_exploitability": "The vulnerability carries a CVSS score of 7.1, indicating high severity, but its EPSS score is below 1\u202f%, suggesting a low likelihood of widespread exploitation at present. It is not cited in the CISA KEV catalog. Exploitation requires only that the attacker be authenticated to the MLflow instance; no additional privileges are needed beyond a standard user account. Because the affected endpoints lack permission checks, the attack surface is straightforward for any authenticated user."}}}}, "created": "2026-03-27T20:28:07.094701+00:00", "updated": "2026-04-28T22:00:14.162216+00:00", "vendors": ["mlflow", "mlflow$PRODUCT$mlflow/mlflow"]}