FKIE_CVE-2020-25459

Vulnerability from fkie_nvd - Published: 2022-06-16 21:15 - Updated: 2024-11-21 05:17
Summary
An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE (Federated AI Technology Enabler) 0.1 through 1.4.2 allows attackers to read sensitive information during the training process of machine learning joint modeling.
Impacted products
Vendor Product Version
webank federated_ai_technology_enabler *

{
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:webank:federated_ai_technology_enabler:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "54363CB1-9BC4-4040-AE2C-6756D12DAB91",
              "versionEndIncluding": "1.4.2",
              "versionStartIncluding": "0.1",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE (Federated AI Technology Enabler) 0.1 through 1.4.2 allows attackers to read sensitive information during the training process of machine learning joint modeling."
    },
    {
      "lang": "es",
      "value": "Se ha detectado un problema en la funci\u00f3n sync_tree en el archivo hetero_decision_tree_guest.py en WeBank FATE (Federated AI Technology Enabler) versiones 0.1 hasta 1.4.2, permite a atacantes leer informaci\u00f3n confidencial durante el proceso de entrenamiento del modelado conjunto de aprendizaje autom\u00e1tico"
    }
  ],
  "id": "CVE-2020-25459",
  "lastModified": "2024-11-21T05:17:59.533",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 5.0,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "NONE",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 2.9,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2022-06-16T21:15:07.713",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://github.com/FederatedAI/FATE/commit/6feccf6d752184a6f9365d56a76fe627983e7139"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-668"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}


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