CVE-2021-37659
Status: ModifiedHigh (7.8)—
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that.
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Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
CVSS
- Version: 3.1
- Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
- Base score: 7.8
Exploitation probability (EPSS)
- Probability of exploitation in the next 30 days: 0.18%
- Percentile among all scored CVEs: 7
- Score date: 10/7/2026
EPSS (Exploit Prediction Scoring System, FIRST) estimates how likely a vulnerability is to be exploited in the wild within 30 days. It complements CVSS (impact) and CISA KEV (confirmed exploitation).
Affected technologies (1)
CWEs
- CWE-125, CWE-476
References
- https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q3g3-h9r4-prrc
- https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q3g3-h9r4-prrc
Raw JSON (NVD)
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"descriptions": [
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"lang": "en",
"value": "TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations). The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. We have patched the issue in GitHub commit 93f428fd1768df147171ed674fee1fc5ab8309ec. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range."
},
{
"lang": "es",
"value": "TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. En las versiones afectadas, un atacante puede causar un comportamiento indefinido por medio de la vinculación de una referencia a un puntero null en todas las operaciones cwise binarias que no requieren difusión (por ejemplo, los gradientes de las operaciones cwise binarias). La [implementación](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) asume que las dos entradas presentan exactamente el mismo número de elementos pero no lo comprueba. Por lo tanto, cuando el functor eigen se ejecuta, desencadena lecturas OOB de la pila y un comportamiento indefinido debido a la vinculación con nullptr. Hemos parcheado el problema en el commit 93f428fd1768df147171ed674fee1fc5ab8309ec de GitHub. La corrección será incluida en TensorFlow versión 2.6.0. También seleccionaremos este commit en TensorFlow versión 2.5.1, TensorFlow versión 2.4.3, y TensorFlow versión 2.3.4, ya que estos también están afectados y todavía están en el rango de soporte."
}
],
"lastModified": "2026-06-17T04:00:55.550",
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