nvd-json-data-feeds/CVE-2022/CVE-2022-235xx/CVE-2022-23568.json

{
  "id": "CVE-2022-23568",
  "sourceIdentifier": "security-advisories@github.com",
  "published": "2022-02-03T12:15:08.177",
  "lastModified": "2022-02-09T04:55:54.037",
  "vulnStatus": "Analyzed",
  "descriptions": [
    {
      "lang": "en",
      "value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range."
    },
    {
      "lang": "es",
      "value": "Tensorflow es un marco de aprendizaje autom\u00e1tico de c\u00f3digo abierto. La implementaci\u00f3n de \"AddManySparseToTensorsMap\" es vulnerable a un desbordamiento de enteros que resulta en un fallo de \"CHECK\" cuando son construidos nuevos objetos \"TensorShape\" (por tanto, una denegaci\u00f3n de servicio basada en un fallo de assert). Nos falta algo de comprobaci\u00f3n en las formas de los tensores de entrada, as\u00ed como construir directamente un \"TensorShape\" grande con las dimensiones proporcionadas por el usuario. La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.8.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow versi\u00f3n 2.7.1, TensorFlow versi\u00f3n 2.6.3, y TensorFlow versi\u00f3n 2.5.3, ya que estos tambi\u00e9n est\u00e1n afectados y a\u00fan est\u00e1n en el rango admitido"
    }
  ],
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        "type": "Primary",
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          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "HIGH",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 3.6
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        "type": "Secondary",
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          "attackVector": "NETWORK",
          "attackComplexity": "LOW",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "HIGH",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM"
        },
        "exploitabilityScore": 2.8,
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      }
    ],
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        "source": "nvd@nist.gov",
        "type": "Primary",
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          "vectorString": "AV:N/AC:L/Au:S/C:N/I:N/A:P",
          "accessVector": "NETWORK",
          "accessComplexity": "LOW",
          "authentication": "SINGLE",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 4.0
        },
        "baseSeverity": "MEDIUM",
        "exploitabilityScore": 8.0,
        "impactScore": 2.9,
        "acInsufInfo": false,
        "obtainAllPrivilege": false,
        "obtainUserPrivilege": false,
        "obtainOtherPrivilege": false,
        "userInteractionRequired": false
      }
    ]
  },
  "weaknesses": [
    {
      "source": "nvd@nist.gov",
      "type": "Primary",
      "description": [
        {
          "lang": "en",
          "value": "CWE-190"
        }
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    }
  ],
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  "references": [
    {
      "url": "https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc",
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