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{
"id": "CVE-2024-27133",
"sourceIdentifier": "reefs@jfrog.com",
"published": "2024-02-23T22:15:55.287",
"lastModified": "2024-02-26T13:42:22.567",
"vulnStatus": "Awaiting Analysis",
"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."
}
],
"metrics": {
"cvssMetricV31": [
{
"source": "reefs@jfrog.com",
"type": "Secondary",
"cvssData": {
"version": "3.1",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
"attackVector": "NETWORK",
"attackComplexity": "HIGH",
"privilegesRequired": "NONE",
"userInteraction": "REQUIRED",
"scope": "UNCHANGED",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH"
},
"exploitabilityScore": 1.6,
"impactScore": 5.9
}
]
},
"weaknesses": [
{
"source": "reefs@jfrog.com",
"type": "Primary",
"description": [
{
"lang": "en",
"value": "CWE-79"
}
]
}
],
"references": [
{
"url": "https://github.com/mlflow/mlflow/pull/10893",
"source": "reefs@jfrog.com"
},
{
"url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/",
"source": "reefs@jfrog.com"
}
]
}