Segfault via invalid attributes in `pywrap_tfe_src.cc`
Impact
If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract_volume_patches by passing in quantized tensors as input ksizes.
import numpy as np
import tensorflow as tf
a_input = np.array([1, -1], dtype= np.int32)
a_ksizes = a_strides = tf.constant(dtype=tf.dtypes.qint16, value=[[1, 4], [5, 2]])
tf.compat.v1.extract_volume_patches(input=a_input,ksizes=a_ksizes,strides=a_strides,padding='VALID')
Patches
We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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
Haz clic en una tecnología para ver todas sus vulnerabilidades.
| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-cpu | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-gpu | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g
- https://nvd.nist.gov/vuln/detail/CVE-2022-41889
- https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-xxcj-rhqg-m46g
- https://pypi.org/project/tensorflow
- https://pypi.org/project/tensorflow-cpu
- Vector CVSS
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H- Debilidad (CWE)
CWE-476- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 21.11.2022
- Actualizado
- 11.10.2026 14:17
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2026-1050 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3262 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-xxcj-rhqg-m46g - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3384 - 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
-
Segfault via invalid attributes in `pywrap_tfe_src.cc` esta entrada
Identifica las vulnerabilidades de tu aplicación
Con la integración de DockRay y el inventario de software activado, DockRay compara las versiones notificadas de los componentes con las vulnerabilidades conocidas y avisa de las coincidencias confirmadas. La cobertura depende de la tecnología compatible y de los avisos disponibles.