Overflow in `tf.keras.losses.poisson`
Impact
tf.keras.losses.poisson receives a y_pred and y_true that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size mismatch during broadcast assignment.
import numpy as np
import tensorflow as tf
true_value = tf.reshape(shape=[1, 2500000000], tensor = tf.zeros(dtype=tf.bool, shape=[50000, 50000]))
pred_value = np.array([[[-2]], [[8]]], dtype = np.float64)
tf.keras.losses.poisson(y_true=true_value,y_pred=pred_value)
Patches
We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
For more information
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Pattarakrit Rattankul.
Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.9.3, >= 2.10.0, < 2.10.1 | 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-cpu | < 2.9.3, >= 2.10.0, < 2.10.1 | 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-gpu | < 2.9.3, >= 2.10.0, < 2.10.1 | 2.9.3, 2.10.1 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3
- https://nvd.nist.gov/vuln/detail/CVE-2022-41887
- https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-8fvv-46hw-vpg3
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H- Debilidad (CWE)
CWE-131- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 21.11.2022
- Actualizado
- 11.10.2026 14:18
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2026-3136 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3297 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-8fvv-46hw-vpg3 - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-970 - PyPA Advisory Database; CC BY 4.0
Historial de vulnerabilidades: tensorflow-cpu
Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.
- Entradas en total
- 430
- Primera → última
- 04.2019 07.2024
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 6
- Alta 111
- Media 208
- Baja 105
Divulgaciones por año
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
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Overflow in `tf.keras.losses.poisson` esta entrada
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