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{
"id": "CVE-2022-21737",
"sourceIdentifier": "security-advisories@github.com",
"published": "2022-02-03T14:15:08.363",
"lastModified": "2024-11-21T06:45:20.420",
"vulnStatus": "Modified",
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"descriptions": [
{
"lang": "en",
"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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 las operaciones \"*Bincount\" permite a usuarios maliciosos causar una denegaci\u00f3n de servicio al pasar argumentos que desencadenen un fallo de \"CHECK\". Se presentan varias condiciones que los argumentos de entrada deben satisfacer. Algunas no son detectadas durante la inferencia de la forma y otras no son detectadas durante la implementaci\u00f3n del n\u00facleo. Esto resulta en fallos de \"CHECK\" m\u00e1s tarde, cuando son asignados los tensores de salida. 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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"attackVector": "NETWORK",
"attackComplexity": "LOW",
"privilegesRequired": "LOW",
"userInteraction": "NONE",
"scope": "UNCHANGED",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
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"accessVector": "NETWORK",
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},
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