{
  "id": "CVE-2023-43472",
  "sourceIdentifier": "cve@mitre.org",
  "published": "2023-12-05T07:15:07.667",
  "lastModified": "2024-11-21T08:24:07.247",
  "vulnStatus": "Modified",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API."
    },
    {
      "lang": "es",
      "value": "Un problema en las versiones 2.8.1 y anteriores de MLFlow permite que un atacante remoto obtenga informaci\u00f3n confidencial a trav\u00e9s de una solicitud manipulada a la API REST."
    }
  ],
  "metrics": {
    "cvssMetricV31": [
      {
        "source": "nvd@nist.gov",
        "type": "Primary",
        "cvssData": {
          "version": "3.1",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "availabilityImpact": "NONE"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6
      }
    ]
  },
  "weaknesses": [
    {
      "source": "nvd@nist.gov",
      "type": "Primary",
      "description": [
        {
          "lang": "en",
          "value": "NVD-CWE-noinfo"
        }
      ]
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "operator": "OR",
          "negate": false,
          "cpeMatch": [
            {
              "vulnerable": true,
              "criteria": "cpe:2.3:a:lfprojects:mlflow:*:*:*:*:*:*:*:*",
              "versionEndIncluding": "2.8.1",
              "matchCriteriaId": "47420A42-F445-490F-9FFA-72F8671D8DC1"
            }
          ]
        }
      ]
    }
  ],
  "references": [
    {
      "url": "https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security",
      "source": "cve@mitre.org",
      "tags": [
        "Exploit",
        "Press/Media Coverage"
      ]
    },
    {
      "url": "https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security",
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Exploit",
        "Press/Media Coverage"
      ]
    }
  ]
}