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CVE-2022-21727

Estado: ModificadaAlta (8.8)—

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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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          "version": "2.0.3",
          "timestamp": "2025-04-25T15:47:29.809820Z"
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      "value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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. La implementación de la inferencia de formas para \"Dequantize\" es vulnerable a una debilidad de desbordamiento de enteros. El argumento \"axis\" puede ser \"-1\" (el valor por defecto para el argumento opcional) o cualquier otro valor positivo como máximo el número de dimensiones de la entrada. Desafortunadamente, el límite superior no es comprobado y, dado que el código calcula \"axis + 1\", un atacante puede desencadenar un desbordamiento de enteros. La corrección será incluida en TensorFlow versión 2.8.0. También seleccionaremos este commit en TensorFlow 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": "2026-06-17T04:26:52.097",
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