CVE-2022-21737
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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
- Versión: 3.1
- Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- Puntuación base: 6.5
Probabilidad de explotación (EPSS)
- Probabilidad de explotación en los próximos 30 días: 0.79%
- Percentil entre todas las CVEs puntuadas: 55
- Fecha de la puntuación: 7/10/2026
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)
CWE
- CWE-754
- CWE-754
Referencias
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc
- https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7
- https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/bincount_op.cc
- https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f2vv-v9cg-qhh7
JSON original (NVD)
Mostrar
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"value": "Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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."
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"value": "Tensorflow es un marco de aprendizaje automático de código abierto. La implementación de las operaciones \"*Bincount\" permite a usuarios maliciosos causar una denegación de servicio al pasar argumentos que desencadenen un fallo de \"CHECK\". Se presentan varias condiciones que los argumentos de entrada deben satisfacer. Algunas no son detectadas durante la inferencia de la forma y otras no son detectadas durante la implementación del núcleo. Esto resulta en fallos de \"CHECK\" más tarde, cuando son asignados los tensores de salida. 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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