TensorFlow vulnerable to null dereference on MLIR on empty function attributes
Impact
Eig can be fed an incorrect Tout input, resulting in a CHECK fail that can trigger a denial of service attack.
import tensorflow as tf
import numpy as np
arg_0=tf.constant(value=np.random.random(size=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_1=tf.complex128
arg_2=True
arg_3=''
tf.raw_ops.Eig(input=arg_0, Tout=arg_1, compute_v=arg_2, name=arg_3)
Patches
We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.
Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-cpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-gpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fqxc-pvf8-2w9v
- https://nvd.nist.gov/vuln/detail/CVE-2022-36000
- https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-fqxc-pvf8-2w9v
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Debilidad (CWE)
CWE-476- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 16.09.2022
- Actualizado
- 11.10.2026 14:17
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2026-3177 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3322 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-fqxc-pvf8-2w9v - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-991 - PyPA Advisory Database; CC BY 4.0
Historial de vulnerabilidades: tensorflow
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
- 433
- Primera → última
- 04.2019 07.2024
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 6
- Alta 112
- Media 210
- Baja 105
Divulgaciones por año
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 169
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
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TensorFlow vulnerable to null dereference on MLIR on empty function attributes esta entrada
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