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Floating point exception in `SparseDenseCwiseDiv`

Low
mihaimaruseac published GHSA-hp4c-x6r7-6555 Aug 11, 2021

Package

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

Affected versions

< 2.6.0

Patched versions

2.3.4, 2.4.3,2.5.1

Description

Impact

The implementation of tf.raw_ops.SparseDenseCwiseDiv is vulnerable to a division by 0 error:

import tensorflow as tf
import numpy as np

tf.raw_ops.SparseDenseCwiseDiv( 
  sp_indices=np.array([[4]]),
  sp_values=np.array([-400]),
  sp_shape=np.array([647.]),
  dense=np.array([0]))

The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately.

Patches

We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.

Severity

Low

CVE ID

CVE-2021-37636

Weaknesses

No CWEs