2024-12-15 03:03:56 +00:00

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{
"id": "CVE-2021-29554",
"sourceIdentifier": "security-advisories@github.com",
"published": "2021-05-14T19:15:07.800",
"lastModified": "2024-11-21T06:01:22.210",
"vulnStatus": "Modified",
"cveTags": [],
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{
"lang": "en",
"value": "TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de c\u00f3digo abierto de extremo a extremo para el aprendizaje autom\u00e1tico. Un atacante puede causar una denegaci\u00f3n de servicio por medio de un error de tiempo de ejecuci\u00f3n de FPE en \"tf.raw_ops.DenseCountSparseOutput\". Esto es debido a que la implementaci\u00f3n (https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) calcula un valor divisor a partir de los datos del usuario pero no comprueba que el resultado es 0 antes de hacer la divisi\u00f3n. Dado que \"data\" viene dado por el argumento \"values\", \"num_batch_elements\" es 0. La correcci\u00f3n ser\u00e1 inclu\u00edda en TensorFlow versi\u00f3n 2.5.0. Tambi\u00e9n seleccionaremos este commit en TensorFlow versi\u00f3n 2.4.2 y TensorFlow versi\u00f3n 2.3.3, ya que estos tambi\u00e9n est\u00e1n afectados"
}
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"baseSeverity": "LOW",
"attackVector": "LOCAL",
"attackComplexity": "HIGH",
"privilegesRequired": "LOW",
"userInteraction": "NONE",
"scope": "UNCHANGED",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
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"description": [
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