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NPE in SparseSparseMaximum

Moderate
pak-laura published GHSA-558h-mq8x-7q9g Mar 24, 2023

Package

pip tensorflow, tensorflow-cpu, tensorflow-gpu (pip)

Affected versions

< 2.12.0

Patched versions

2.12.0, 2.11.1

Description

Impact

When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE.

import tensorflow as tf
tf.raw_ops.SparseSparseMaximum(
 a_indices=[[1]],
 a_values =[ 0.1 ],
 a_shape = [2],
 b_indices=[[]],
 b_values =[2 ],
 b_shape = [2],
)

Patches

We have patched the issue in GitHub commit 5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04.

The fix will be included in TensorFlow 2.12. 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.

Attribution

This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team

Severity

Moderate

CVE ID

CVE-2023-25665

Weaknesses

No CWEs