TensorFlow has double free in Fractional(Max/Avg)Pool
Impact
nn_ops.fractional_avg_pool_v2 and nn_ops.fractional_max_pool_v2 require the first and fourth elements of their parameter pooling_ratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported.
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)
arg_0 = tf.identity(arg_0_tensor)
arg_1_0 = 2
arg_1_1 = 3
arg_1_2 = 1
arg_1_3 = 1
arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]
arg_2 = True
arg_3 = True
seed = 341261001
out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)
except Exception as e:
print("Error:"+str(e))
Patches
We have patched the issue in GitHub commit ee50d1e00f81f62a4517453f721c634bbb478307.
The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
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 was reported by dmc1778, of nimashiri2012@gmail.com.
Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-gpu | < 2.11.1 | 2.11.1 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f49c-87jh-g47q
- https://nvd.nist.gov/vuln/detail/CVE-2023-25801
- https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307
- https://github.com/tensorflow/tensorflow
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-f49c-87jh-g47q
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Vector CVSS
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H- Debilidad (CWE)
CWE-415- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 24.03.2023
- Actualizado
- 11.10.2026 14:17
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2026-3166 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3314 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-f49c-87jh-g47q - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-985 - PyPA Advisory Database; CC BY 4.0
Historial de vulnerabilidades: tensorflow-gpu
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
- 427
- Primera → última
- 04.2019 07.2024
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 6
- Alta 109
- Media 207
- Baja 105
Divulgaciones por año
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 18
- 2024: 1
- 2025: 0
- 2026: 0
-
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