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CVE-2020-5215

Estado: ModificadaAlta (7.5)—

In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions.

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This can be easily reproduced by tf.constant("hello", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.

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-2020-5215",
  "cveTags": [],
  "metrics": {
    "cvssMetricV2": [
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        "type": "Primary",
        "source": "nvd@nist.gov",
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          "accessVector": "NETWORK",
          "vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
          "authentication": "NONE",
          "integrityImpact": "NONE",
          "accessComplexity": "MEDIUM",
          "availabilityImpact": "PARTIAL",
          "confidentialityImpact": "NONE"
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        "acInsufInfo": false,
        "impactScore": 2.9,
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        "obtainAllPrivilege": false,
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  "published": "2020-01-28T22:15:11.090",
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      "lang": "en",
      "value": "In TensorFlow before 1.15.2 and 2.0.1, converting a string (from Python) to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which contains a string instead of a tf.float16 value. Similar effects can be obtained by manipulating saved models and checkpoints whereby replacing a scalar tf.float16 value with a scalar string will trigger this issue due to automatic conversions. This can be easily reproduced by tf.constant(\"hello\", tf.float16), if eager execution is enabled. This issue is patched in TensorFlow 1.15.1 and 2.0.1 with this vulnerability patched. TensorFlow 2.1.0 was released after we fixed the issue, thus it is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0."
    },
    {
      "lang": "es",
      "value": "En TensorFlow versiones anteriores a 1.15.2 y 2.0.1, la conversión de una cadena (de Python) a un valor tf.float16 resulta en un fallo de segmentación en modo eager, ya que las comprobaciones de formato para este caso de uso solo están en el modo graph. Este problema puede conllevar a una denegación de servicio en inference/training, donde un atacante malicioso puede enviar un punto de datos que contiene una cadena en lugar de un valor tf.float16. Efectos similares pueden ser obtenidos mediante la manipulación de modelos guardados y puntos de control por los cuales se reemplaza un valor escalar tf.float16 por una cadena escalar, este problema se desencadenará debido a las conversiones automáticas. Esto puede ser reproducido fácilmente mediante tf.constant(\"hello\", tf.float16), si una ejecución eager es habilitada. Este problema es parcheado en TensorFlow versiones 1.15.1 y 2.0.1 con esta vulnerabilidad parcheada. TensorFlow versión 2.1.0 fue publicada después de que corregimos el problema, por lo que no está afectado. Se incentiva a los usuarios a cambiar a TensorFlow versiones 1.15.1, 2.0.1 o 2.1.0."
    }
  ],
  "lastModified": "2026-06-17T03:21:02.443",
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