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CVE-2024-27133

Estado: AnalizadaCrítica (9.6)—

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.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

Lfprojects — Mlflow

CWE

Referencias

JSON original (NVD)

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{
  "id": "CVE-2024-27133",
  "cveTags": [],
  "metrics": {
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-27133",
          "role": "CISA Coordinator",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "version": "2.0.3",
          "timestamp": "2024-02-27T15:45:19.756510Z"
        }
      }
    ],
    "cvssMetricV31": [
      {
        "type": "Secondary",
        "source": "reefs@jfrog.com",
        "cvssData": {
          "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"
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        "exploitabilityScore": 1.6
      },
      {
        "type": "Primary",
        "source": "nvd@nist.gov",
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          "baseSeverity": "CRITICAL",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
          "integrityImpact": "HIGH",
          "userInteraction": "REQUIRED",
          "attackComplexity": "LOW",
          "availabilityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "confidentialityImpact": "HIGH"
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        "impactScore": 6,
        "exploitabilityScore": 2.8
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  "affected": [
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              "version": "0",
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          "product": "mlflow",
          "versions": [
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              "versionType": "custom",
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  ],
  "published": "2024-02-23T22:15:55.287",
  "references": [
    {
      "url": "https://github.com/mlflow/mlflow/pull/10893",
      "tags": [
        "Issue Tracking",
        "Patch"
      ],
      "source": "reefs@jfrog.com"
    },
    {
      "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/",
      "tags": [
        "Exploit",
        "Third Party Advisory"
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      "url": "https://github.com/mlflow/mlflow/pull/10893",
      "tags": [
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        "Patch"
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      "source": "af854a3a-2127-422b-91ae-364da2661108"
    },
    {
      "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "source": "af854a3a-2127-422b-91ae-364da2661108"
    }
  ],
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "type": "Secondary",
      "source": "reefs@jfrog.com",
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ]
    }
  ],
  "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 sanitización 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."
    }
  ],
  "lastModified": "2026-06-17T07:19:13.420",
  "configurations": [
    {
      "nodes": [
        {
          "negate": false,
          "cpeMatch": [
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              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "vulnerable": true,
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              "versionEndIncluding": "2.9.2"
            }
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          "operator": "OR"
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  "sourceIdentifier": "reefs@jfrog.com"
}