Segfault via invalid attributes in `pywrap_tfe_src.cc`

Overview

Impact

If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract_volume_patches by passing in quantized tensors as input ksizes.

import numpy as np
import tensorflow as tf

a_input = np.array([1, -1], dtype= np.int32)
a_ksizes =  a_strides = tf.constant(dtype=tf.dtypes.qint16, value=[[1, 4], [5, 2]])


tf.compat.v1.extract_volume_patches(input=a_input,ksizes=a_ksizes,strides=a_strides,padding='VALID')

Patches

We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce.

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattankul.

Affected packages

• tensorflow < 2.8.4
• tensorflow >= 2.9.0, < 2.9.3
• tensorflow >= 2.10.0, < 2.10.1
• tensorflow-cpu < 2.8.4
• tensorflow-gpu < 2.8.4
• tensorflow-cpu >= 2.9.0, < 2.9.3
• tensorflow-gpu >= 2.9.0, < 2.9.3
• tensorflow-cpu >= 2.10.0, < 2.10.1
• tensorflow-gpu >= 2.10.0, < 2.10.1

Remediation

Upgrade to a patched release:

• tensorflow 2.8.4
• tensorflow 2.9.3
• tensorflow 2.10.1
• tensorflow-cpu 2.8.4
• tensorflow-gpu 2.8.4
• tensorflow-cpu 2.9.3
• tensorflow-gpu 2.9.3
• tensorflow-cpu 2.10.1
• tensorflow-gpu 2.10.1