nvd-json-data-feeds/CVE-2021/CVE-2021-295xx/CVE-2021-29566.json

{
  "id": "CVE-2021-29566",
  "sourceIdentifier": "security-advisories@github.com",
  "published": "2021-05-14T20:15:13.647",
  "lastModified": "2024-11-21T06:01:23.757",
  "vulnStatus": "Modified",
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to `tf.raw_ops.Dilation2DBackpropInput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for `h_out` and `w_out` are guaranteed to be in range for `out_backprop` (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating `h_in_max`/`w_in_max` and `in_backprop`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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. Un atacante puede escribir fuera de l\u00edmites de las matrices asignadas a la pila al pasar argumentos no comprobados a \"tf.raw_ops.Dilation2DBackpropInput\". Esto es debido a que la implementaci\u00f3n (https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) no comprueba antes de escribir en una matriz de salida. Se garantiza que los valores de \"h_out\" y \"w_out\" est\u00e1n dentro del rango de \"out_backprop\" (ya que son \u00edndices de bucle limitados por el tama\u00f1o de la matriz). Sin embargo, no presentan garant\u00edas similares relacionadas con \"h_in_max\" /\" w_in_max\" y \"in_backprop\". La correcci\u00f3n ser\u00e1 incluida en TensorFlow versi\u00f3n 2.5.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 y TensorFlow 2.1.4"
    }
  ],
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          "baseScore": 2.5,
          "baseSeverity": "LOW",
          "attackVector": "LOCAL",
          "attackComplexity": "HIGH",
          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "availabilityImpact": "LOW"
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        "exploitabilityScore": 1.0,
        "impactScore": 1.4
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        "type": "Primary",
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          "baseSeverity": "HIGH",
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          "privilegesRequired": "LOW",
          "userInteraction": "NONE",
          "scope": "UNCHANGED",
          "confidentialityImpact": "HIGH",
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        "impactScore": 5.9
      }
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        "source": "nvd@nist.gov",
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          "baseScore": 4.6,
          "accessVector": "LOCAL",
          "accessComplexity": "LOW",
          "authentication": "NONE",
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "availabilityImpact": "PARTIAL"
        },
        "baseSeverity": "MEDIUM",
        "exploitabilityScore": 3.9,
        "impactScore": 6.4,
        "acInsufInfo": false,
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        "obtainUserPrivilege": false,
        "obtainOtherPrivilege": false,
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      "url": "https://github.com/tensorflow/tensorflow/commit/3f6fe4dfef6f57e768260b48166c27d148f3015f",
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