PT-2026-59959 · Pypi · Tensorflow-Cpu
Publicado
2026-07-13
·
Atualizado
2026-07-13
CVSS v3.1
4.8
Média
| Vetor | AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H |
Impact
If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error:
python
np.ones((0, 2**31, 2**31))An example of a proof of concept:
python
import numpy as np
import tensorflow as tf
input val = tf.constant([1])
shape val = np.array([i for i in range(21)])
tf.broadcast to(input=input val,shape=shape val)The return value of
PyArray SimpleNewFromData, which returns null on such shapes, is not checked.Patches
We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784.
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 Rattanukul.
Correção
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Produtos afetados
Tensorflow-Cpu