FKIE_CVE-2022-41889

Vulnerability from fkie_nvd - Published: 2022-11-18 22:15 - Updated: 2025-01-15 17:15
Summary
TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Impacted products
Vendor Product Version
google tensorflow *
google tensorflow *
google tensorflow *

{
  "configurations": [
    {
      "nodes": [
        {
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range."
    },
    {
      "lang": "es",
      "value": "TensorFlow es una plataforma de c\u00f3digo abierto para aprendizaje autom\u00e1tico. Si se asigna una lista de tensores cuantificados a un atributo, el c\u00f3digo pywrap no puede analizar el tensor y devuelve un \"nullptr\", que no se detecta. Se puede ver un ejemplo en `tf.compat.v1.extract_volume_patches` pasando tensores cuantificados como entrada `ksizes`. Hemos solucionado el problema en el commit de GitHub e9e95553e5411834d215e6770c81a83a3d0866ce. La soluci\u00f3n se incluir\u00e1 en TensorFlow 2.11. Tambi\u00e9n seleccionaremos este commit en TensorFlow 2.10.1, 2.9.3 y TensorFlow 2.8.4, ya que estos tambi\u00e9n se ven afectados y a\u00fan se encuentran en el rango admitido."
    }
  ],
  "id": "CVE-2022-41889",
  "lastModified": "2025-01-15T17:15:09.990",
  "metrics": {
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          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 5.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.1"
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          "attackVector": "NETWORK",
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          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
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        "source": "nvd@nist.gov",
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  "published": "2022-11-18T22:15:15.667",
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      "tags": [
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      "url": "https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc"
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  "vulnStatus": "Modified",
  "weaknesses": [
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        {
          "lang": "en",
          "value": "CWE-476"
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      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}


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