{
  "cvss": 9.3,
  "datePublished": "2026-08-17T22:17:23.580",
  "dateUpdated": "2026-10-26T13:10:00.140",
  "description": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0.",
  "id": "CVE-2026-64849",
  "raw": {
    "affected": [
      {
        "affectedData": [
          {
            "product": "mlflow",
            "vendor": "mlflow",
            "versions": [
              {
                "status": "affected",
                "version": ">= 3.3.0, < 3.15.0"
              }
            ]
          }
        ],
        "source": "security-advisories@github.com"
      }
    ],
    "cisaActionDue": "2026-09-02",
    "cisaExploitAdd": "2026-08-19",
    "cisaRequiredAction": "Apply mitigations in accordance with vendor instructions, ensuring compliance with CISA’s BOD 26-04 Prioritizing Security Updates Based on Risk (see URL in Notes) guidance and CISA’s “Forensics Triage Requirements” (see URL in Notes). Follow applicable BOD 26-04 guidance for cloud services or discontinue use of the product if mitigations are unavailable. Stakeholders are responsible for evaluating each asset's internet exposure and ensuring adherence to BOD 26-04 patching guidelines.",
    "cisaVulnerabilityName": "MLflow Server-Side Request Forgery Vulnerability",
    "configurations": [
      {
        "nodes": [
          {
            "cpeMatch": [
              {
                "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
                "matchCriteriaId": "1020A84A-9C92-4581-ADC4-4522AD465BA2",
                "versionEndExcluding": "3.15.0",
                "versionStartIncluding": "3.3.0",
                "vulnerable": true
              }
            ],
            "negate": false,
            "operator": "OR"
          }
        ]
      }
    ],
    "cveTags": [],
    "descriptions": [
      {
        "lang": "en",
        "value": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Starting in 3.3.0 and prior to 3.15.0, the unauthenticated POST /api/2.0/mlflow/webhooks/{id}/test endpoint calls _validate_webhook_url() in mlflow/utils/validation.py only for the original URL while mlflow/webhooks/delivery.py follows redirects and re-resolves the hostname without pinning the validated address, allowing attackers to reach internal or cloud metadata services and receive response_status and response_body. This issue is fixed in version 3.15.0."
      },
      {
        "lang": "es",
        "value": "MLflow es una plataforma de ingeniería de IA de código abierto para agentes, modelos de lenguaje grandes y modelos de aprendizaje automático. A partir de la versión 3.3.0 y versiones anteriores a la 3.15.0, el endpoint POST /api/2.0/mlflow/webhooks/{id}/test no autenticado llama a _validate_webhook_url() en mlflow/utils/validation.py solo para la URL original, mientras que mlflow/webhooks/delivery.py sigue las redirecciones y resuelve de nuevo el nombre de host sin fijar la dirección validada, lo que permite a los atacantes alcanzar servicios de metadatos internos o en la nube y recibir response_status y response_body. Este problema se ha solucionado en la versión 3.15.0."
      }
    ],
    "id": "CVE-2026-64849",
    "lastModified": "2026-10-26T13:10:00.140",
    "metrics": {
      "cvssMetricV31": [
        {
          "cvssData": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 9.3,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "LOW",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
            "version": "3.1"
          },
          "exploitabilityScore": 3.9,
          "impactScore": 4.7,
          "source": "security-advisories@github.com",
          "type": "Secondary"
        }
      ],
      "ssvcV203": [
        {
          "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "ssvcData": {
            "id": "CVE-2026-64849",
            "options": [
              {
                "exploitation": "active"
              },
              {
                "automatable": "yes"
              },
              {
                "technicalImpact": "partial"
              }
            ],
            "role": "CISA Coordinator",
            "timestamp": "2026-08-20T03:55:29.820245Z",
            "version": "2.0.3"
          }
        }
      ]
    },
    "published": "2026-08-17T22:17:23.580",
    "references": [
      {
        "source": "security-advisories@github.com",
        "tags": [
          "Patch"
        ],
        "url": "https://github.com/mlflow/mlflow/commit/ba949522477cbd5915aa55d29b0cfad7d5ddf939"
      },
      {
        "source": "security-advisories@github.com",
        "tags": [
          "Exploit",
          "Issue Tracking",
          "Mitigation"
        ],
        "url": "https://github.com/mlflow/mlflow/issues/24179"
      },
      {
        "source": "security-advisories@github.com",
        "tags": [
          "Issue Tracking",
          "Patch"
        ],
        "url": "https://github.com/mlflow/mlflow/pull/24258"
      },
      {
        "source": "security-advisories@github.com",
        "tags": [
          "Release Notes"
        ],
        "url": "https://github.com/mlflow/mlflow/releases/tag/v3.15.0"
      },
      {
        "source": "security-advisories@github.com",
        "tags": [
          "Exploit",
          "Vendor Advisory"
        ],
        "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-7gwp-5pfp-969j"
      },
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "tags": [
          "US Government Resource"
        ],
        "url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2026-64849"
      }
    ],
    "sourceIdentifier": "security-advisories@github.com",
    "vulnStatus": "Analyzed",
    "weaknesses": [
      {
        "description": [
          {
            "lang": "en",
            "value": "CWE-918"
          }
        ],
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "severity": "CRITICAL",
  "source": "nvd",
  "title": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models"
}