nvd-json-data-feeds/CVE-2021/CVE-2021-376xx/CVE-2021-37643.json

{
  "id": "CVE-2021-37643",
  "sourceIdentifier": "security-advisories@github.com",
  "published": "2021-08-12T19:15:08.873",
  "lastModified": "2024-11-21T06:15:35.610",
  "vulnStatus": "Modified",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to `tf.raw_ops.MatrixDiagPartOp`, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range."
    },
    {
      "lang": "es",
      "value": "TensorFlow es una plataforma de c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico. Si un usuario no proporciona un valor de relleno v\u00e1lido a \"tf.raw_ops.MatrixDiagPartOp\", entonces el c\u00f3digo desencadena una desreferencia de puntero null (si la entrada est\u00e1 vac\u00eda) o produce un comportamiento no v\u00e1lido, ignorando todos los valores despu\u00e9s del primero. La [implementaci\u00f3n](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) lee el primer valor de un buffer de tensor sin comprobar primero que el tensor presenta valores para leer. Hemos parcheado el problema en el commit 482da92095c4d48f8784b1f00dda4f81c28d2988 de GitHub. La correcci\u00f3n se incluir\u00e1 en TensorFlow versi\u00f3n 2.6.0. Tambi\u00e9n se incluir\u00e1 este commit en TensorFlow versi\u00f3n 2.5.1, TensorFlow versi\u00f3n 2.4.3, y TensorFlow versi\u00f3n 2.3.4, ya que estos tambi\u00e9n est\u00e1n afectados y todav\u00eda est\u00e1n en el rango de soporte."
    }
  ],
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          "baseScore": 7.7,
          "baseSeverity": "HIGH",
          "attackVector": "LOCAL",
          "attackComplexity": "LOW",
          "privilegesRequired": "NONE",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "HIGH",
          "availabilityImpact": "HIGH"
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        "exploitabilityScore": 2.5,
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          "authentication": "NONE",
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        "acInsufInfo": false,
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