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CVE-2022-23576

Estado: ModificadaMedia (6.5)—

Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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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  "id": "CVE-2022-23576",
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          "options": [
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              "automatable": "no"
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          "version": "2.0.3",
          "timestamp": "2025-04-22T15:50:40.440692Z"
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      "description": [
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    {
      "lang": "en",
      "value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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 \"OpLevelCostEstimator::CalculateOutputSize\" es vulnerable a un desbordamiento de enteros si un atacante puede crear una operación que involucre tensores con un número suficientemente grande de elementos. Podemos tener un número suficientemente grande de dimensiones en \"output_shape.dim()\" o sólo un pequeño número de dimensiones siendo lo suficientemente grande para causar un desbordamiento en la multiplicación. 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"
    }
  ],
  "lastModified": "2026-06-17T04:30:23.733",
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