cve-2024-37053
Vulnerability from cvelistv5
Published
2024-06-04 12:00
Modified
2024-08-02 03:43
Severity ?
EPSS score ?
Summary
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’s system when interacted with.
References
▼ | URL | Tags | |
---|---|---|---|
6f8de1f0-f67e-45a6-b68f-98777fdb759c | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory | |
af854a3a-2127-422b-91ae-364da2661108 | https://hiddenlayer.com/sai-security-advisory/mlflow-june2024 | Exploit, Third Party Advisory |
{ "containers": { "adp": [ { "affected": [ { "cpes": [ "cpe:2.3:a:lfprojects:mlflow:1.1.0:*:*:*:*:*:*:*" ], "defaultStatus": "unknown", "product": "mlflow", "vendor": "lfprojects", "versions": [ { "lessThanOrEqual": "*", "status": "affected", "version": "1.1.0", "versionType": "custom" } ] } ], "metrics": [ { "other": { "content": { "id": "CVE-2024-37053", "options": [ { "Exploitation": "none" }, { "Automatable": "no" }, { "Technical Impact": "total" } ], "role": "CISA Coordinator", "timestamp": "2024-06-04T13:19:11.849479Z", "version": "2.0.3" }, "type": "ssvc" } } ], "providerMetadata": { "dateUpdated": "2024-07-24T17:14:34.422Z", "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP" }, "title": "CISA ADP Vulnrichment" }, { "providerMetadata": { "dateUpdated": "2024-08-02T03:43:50.998Z", "orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE" }, "references": [ { "tags": [ "x_transferred" ], "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024" } ], "title": "CVE Program Container" } ], "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": "\u003cspan style=\"background-color: rgb(255, 255, 255);\"\u003eDeserialization 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.\u003c/span\u003e\u003cbr\u003e" } ], "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": { "dateUpdated": "2024-06-04T12:00:15.162Z", "orgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "shortName": "HiddenLayer" }, "references": [ { "url": "https://hiddenlayer.com/sai-security-advisory/mlflow-june2024" } ], "source": { "discovery": "UNKNOWN" }, "x_generator": { "engine": "Vulnogram 0.2.0" } } }, "cveMetadata": { "assignerOrgId": "6f8de1f0-f67e-45a6-b68f-98777fdb759c", "assignerShortName": "HiddenLayer", "cveId": "CVE-2024-37053", "datePublished": "2024-06-04T12:00:15.162Z", "dateReserved": "2024-05-31T14:16:48.807Z", "dateUpdated": "2024-08-02T03:43:50.998Z", "state": "PUBLISHED" }, "dataType": "CVE_RECORD", "dataVersion": "5.1", "meta": { "nvd": "{\"cve\":{\"id\":\"CVE-2024-37053\",\"sourceIdentifier\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"published\":\"2024-06-04T12:15:10.957\",\"lastModified\":\"2025-02-03T14:35:07.880\",\"vulnStatus\":\"Analyzed\",\"cveTags\":[],\"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.\"},{\"lang\":\"es\",\"value\":\"La deserializaci\u00f3n de datos que no son de confianza puede ocurrir en versiones de la plataforma MLflow que ejecutan la versi\u00f3n 1.1.0 o posterior, lo que permite que un modelo scikit-learn cargado maliciosamente ejecute c\u00f3digo arbitrario en el sistema de un usuario final cuando interact\u00faa con \u00e9l.\"}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":8.8,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":2.8,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-502\"}]},{\"source\":\"nvd@nist.gov\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-502\"}]}],\"configurations\":[{\"nodes\":[{\"operator\":\"OR\",\"negate\":false,\"cpeMatch\":[{\"vulnerable\":true,\"criteria\":\"cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*\",\"versionStartIncluding\":\"1.1.0\",\"matchCriteriaId\":\"13C996BA-41B9-44D0-8E47-B21DD510FAAA\"}]}]}],\"references\":[{\"url\":\"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024\",\"source\":\"6f8de1f0-f67e-45a6-b68f-98777fdb759c\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]},{\"url\":\"https://hiddenlayer.com/sai-security-advisory/mlflow-june2024\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Third Party Advisory\"]}]}}" } }
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- Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
- Confirmed: The vulnerability is confirmed from an analyst perspective.
- Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
- Patched: This vulnerability was successfully patched by the user reporting the sighting.
- Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
- Not confirmed: The user expresses doubt about the veracity of the vulnerability.
- Not patched: This vulnerability was not successfully patched by the user reporting the sighting.