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CVE-2022-21741

Estado: ModificadaMedia (6.5)—

Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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.

CVSS

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

Tecnologías afectadas (1)

Google — Tensorflow

CWE

Referencias

JSON original (NVD)

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      "value": "Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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 automático de código abierto. ### Impacto Un atacante puede diseñar un modelo TFLite que desencadene una división por cero en la implementación de convoluciones en profundidad. Los parámetros de la convolución pueden ser controlados por el usuario y también son usados dentro de una operación de división para determinar el tamaño del relleno que necesita ser añadido antes de aplicar la convolución. Antes de esta división no es comprobado que el divisor sea estrictamente positivo. La corrección será incluida en TensorFlow versión 2.8.0. También seleccionaremos este commit enTensorFlow versión 2.7.1, TensorFlow versión 2.6.3, y TensorFlow versión 2.5.3, ya que estos también están afectados y aún están en el rango admitido"
    }
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  "lastModified": "2026-06-17T04:26:53.983",
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