{"dataType": "CVE_RECORD", "dataVersion": "5.1", "cveMetadata": {"cveId": "CVE-2024-37052", "assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "state": "PUBLISHED", "assignerShortName": "HiddenLayer", "dateReserved": "2024-05-31T14:16:48.806Z", "datePublished": "2024-06-04T11:59:35.035Z", "dateUpdated": "2024-06-04T17:46:16.316Z"}, "containers": {"cna": {"affected": [{"defaultStatus": "unaffected", "packageName": "mlflow", "product": "MLflow", "repo": "https://github.com/mlflow/mlflow", "vendor": "MLflow", "versions": [{"lessThanOrEqual": "*", "status": "affected", "version": "1.1.0", "versionType": "semver"}]}], "descriptions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "<span style=\"background-color: rgb(255, 255, 255);\">Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user\u2019s system when interacted with.</span><br>"}], "value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user\u2019s system when interacted with."}], "impacts": [{"capecId": "CAPEC-586", "descriptions": [{"lang": "en", "value": "CAPEC-586 Object Injection"}]}], "metrics": [{"cvssV3_1": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "format": "CVSS", "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "problemTypes": [{"descriptions": [{"cweId": "CWE-502", "description": "CWE-502 Deserialization of Untrusted Data", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "shortName": "HiddenLayer", "dateUpdated": "2024-06-04T11:59:35.035Z"}, "references": [{"url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"}], "source": {"discovery": "UNKNOWN"}, "x_generator": {"engine": "Vulnogram 0.2.0"}}, "adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2024-37052", "role": "CISA Coordinator", "options": [{"Exploitation": "none"}, {"Automatable": "no"}, {"Technical Impact": "total"}], "version": "2.0.3", "timestamp": "2024-06-04T13:42:32.369392Z"}}}], "affected": [{"cpes": ["cpe:2.3:a:mlflow:mlflow:1.1.0:*:*:*:*:*:*:*"], "vendor": "mlflow", "product": "mlflow", "versions": [{"status": "affected", "version": "1.1.0"}], "defaultStatus": "unknown"}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2024-06-04T17:46:16.316Z"}}]}}

{"descriptions": [{"lang": "en", "value": "Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user\u2019s system when interacted with."}], "id": "CVE-2024-37052", "lastModified": "2024-06-04T16:57:41.053", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 8.8, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 5.9, "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "type": "Secondary"}]}, "published": "2024-06-04T12:15:10.413", "references": [{"source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024"}], "sourceIdentifier": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-502"}], "source": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "type": "Secondary"}]}

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