2024-02-23 23:00:28 +00:00
{
"id" : "CVE-2024-27133" ,
"sourceIdentifier" : "reefs@jfrog.com" ,
"published" : "2024-02-23T22:15:55.287" ,
2024-02-26 15:01:17 +00:00
"lastModified" : "2024-02-26T13:42:22.567" ,
"vulnStatus" : "Awaiting Analysis" ,
2024-02-23 23:00:28 +00:00
"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"
}
]
}