CVE-2024-27133

{"dataType": "CVE_RECORD", "dataVersion": "5.1", "cveMetadata": {"cveId": "CVE-2024-27133", "assignerOrgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d", "state": "PUBLISHED", "assignerShortName": "JFROG", "dateReserved": "2024-02-20T11:10:51.335Z", "datePublished": "2024-02-23T22:00:33.124Z", "dateUpdated": "2024-08-22T18:01:49.002Z"}, "containers": {"cna": {"affected": [{"collectionURL": "https://pypi.org/project/pip", "packageName": "mlflow", "versions": [{"lessThanOrEqual": "2.9.2", "status": "affected", "version": "0", "versionType": "python"}]}], "descriptions": [{"lang": "en", "supportingMedia": [{"base64": false, "type": "text/html", "value": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields."}], "value": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields."}], "metrics": [{"cvssV3_1": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:H/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-79", "description": "CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')", "lang": "en", "type": "CWE"}]}], "providerMetadata": {"orgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d", "shortName": "JFROG", "dateUpdated": "2024-02-23T22:00:33.124Z"}, "references": [{"url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"}, {"url": "https://github.com/mlflow/mlflow/pull/10893"}], "source": {"discovery": "EXTERNAL"}, "title": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset."}, "adp": [{"providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-02T00:27:59.107Z"}, "title": "CVE Program Container", "references": [{"url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/", "tags": ["x_transferred"]}, {"url": "https://github.com/mlflow/mlflow/pull/10893", "tags": ["x_transferred"]}]}, {"affected": [{"vendor": "lfprojects", "product": "mlflow", "cpes": ["cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"], "defaultStatus": "unknown", "versions": [{"version": "0", "status": "affected", "lessThanOrEqual": "2.9.2", "versionType": "custom"}]}], "metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2024-02-27T15:45:19.756510Z", "id": "CVE-2024-27133", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2024-08-22T18:01:49.002Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CVE Program Container", "references": [{"url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/", "tags": ["x_transferred"]}, {"url": "https://github.com/mlflow/mlflow/pull/10893", "tags": ["x_transferred"]}], "providerMetadata": {"orgId": "af854a3a-2127-422b-91ae-364da2661108", "shortName": "CVE", "dateUpdated": "2024-08-02T00:27:59.107Z"}}, {"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2024-27133", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "no"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2024-02-27T15:45:19.756510Z"}}}], "affected": [{"cpes": ["cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"], "vendor": "lfprojects", "product": "mlflow", "versions": [{"status": "affected", "version": "0", "versionType": "custom", "lessThanOrEqual": "2.9.2"}], "defaultStatus": "unknown"}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2024-08-22T18:01:43.326Z"}}], "cna": {"title": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.", "source": {"discovery": "EXTERNAL"}, "metrics": [{"format": "CVSS", "cvssV3_1": {"scope": "UNCHANGED", "version": "3.1", "baseScore": 7.5, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "REQUIRED", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "scenarios": [{"lang": "en", "value": "GENERAL"}]}], "affected": [{"versions": [{"status": "affected", "version": "0", "versionType": "python", "lessThanOrEqual": "2.9.2"}], "packageName": "mlflow", "collectionURL": "https://pypi.org/project/pip"}], "references": [{"url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"}, {"url": "https://github.com/mlflow/mlflow/pull/10893"}], "descriptions": [{"lang": "en", "value": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.", "supportingMedia": [{"type": "text/html", "value": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.", "base64": false}]}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-79", "description": "CWE-79 Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')"}]}], "providerMetadata": {"orgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d", "shortName": "JFROG", "dateUpdated": "2024-02-23T22:00:33.124Z"}}}, "cveMetadata": {"cveId": "CVE-2024-27133", "state": "PUBLISHED", "dateUpdated": "2024-08-22T18:01:49.002Z", "dateReserved": "2024-02-20T11:10:51.335Z", "assignerOrgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d", "datePublished": "2024-02-23T22:00:33.124Z", "assignerShortName": "JFROG"}, "dataVersion": "5.1"}

{"affected": [{"affectedData": [{"collectionURL": "https://pypi.org/project/pip", "packageName": "mlflow", "versions": [{"lessThanOrEqual": "2.9.2", "status": "affected", "version": "0", "versionType": "python"}]}], "source": "reefs@jfrog.com"}, {"affectedData": [{"cpes": ["cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*"], "defaultStatus": "unknown", "product": "mlflow", "vendor": "lfprojects", "versions": [{"lessThanOrEqual": "2.9.2", "status": "affected", "version": "0", "versionType": "custom"}]}], "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0"}], "configurations": [{"nodes": [{"cpeMatch": [{"criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*", "matchCriteriaId": "0A9D223B-CF17-45F3-9C5E-BB31DA6C658F", "versionEndIncluding": "2.9.2", "vulnerable": true}], "negate": false, "operator": "OR"}]}], "cveTags": [], "descriptions": [{"lang": "en", "value": "Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields."}, {"lang": "es", "value": "Una sanitizaci\u00f3n insuficiente en MLflow genera XSS cuando se ejecuta una receta que utiliza un conjunto de datos que no es de confianza. Este problema provoca un RCE del lado del cliente al ejecutar la receta en Jupyter Notebook. La vulnerabilidad se debe a la falta de saneamiento de los campos de la tabla del conjunto de datos."}], "id": "CVE-2024-27133", "lastModified": "2026-06-17T07:19:13.420", "metrics": {"cvssMetricV31": [{"cvssData": {"attackComplexity": "HIGH", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 1.6, "impactScore": 5.9, "source": "reefs@jfrog.com", "type": "Secondary"}, {"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 9.6, "baseSeverity": "CRITICAL", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "privilegesRequired": "NONE", "scope": "CHANGED", "userInteraction": "REQUIRED", "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H", "version": "3.1"}, "exploitabilityScore": 2.8, "impactScore": 6.0, "source": "nvd@nist.gov", "type": "Primary"}], "ssvcV203": [{"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "ssvcData": {"id": "CVE-2024-27133", "options": [{"exploitation": "poc"}, {"automatable": "no"}, {"technicalImpact": "partial"}], "role": "CISA Coordinator", "timestamp": "2024-02-27T15:45:19.756510Z", "version": "2.0.3"}}]}, "published": "2024-02-23T22:15:55.287", "references": [{"source": "reefs@jfrog.com", "tags": ["Issue Tracking", "Patch"], "url": "https://github.com/mlflow/mlflow/pull/10893"}, {"source": "reefs@jfrog.com", "tags": ["Exploit", "Third Party Advisory"], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"}, {"source": "af854a3a-2127-422b-91ae-364da2661108", "tags": ["Issue Tracking", "Patch"], "url": "https://github.com/mlflow/mlflow/pull/10893"}, {"source": "af854a3a-2127-422b-91ae-364da2661108", "tags": ["Exploit", "Third Party Advisory"], "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"}], "sourceIdentifier": "reefs@jfrog.com", "vulnStatus": "Analyzed", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-79"}], "source": "reefs@jfrog.com", "type": "Secondary"}]}

{}

{}