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FPE in `ParallelConcat`

Moderate severity GitHub Reviewed Published Nov 4, 2021 in tensorflow/tensorflow • Updated Feb 1, 2023

Package

pip tensorflow (pip)

Affected versions

>= 2.6.0, < 2.6.1
>= 2.5.0, < 2.5.2
< 2.4.4

Patched versions

2.6.1
2.5.2
2.4.4

Description

Impact

The implementation of ParallelConcat misses some input validation and can produce a division by 0:

import tensorflow as tf

@tf.function
def test():
  y = tf.raw_ops.ParallelConcat(values=[['tf']],shape=0)
  return y

test()

Patches

We have patched the issue in GitHub commit f2c3931113eaafe9ef558faaddd48e00a6606235.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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.

References

@mihaimaruseac mihaimaruseac published to tensorflow/tensorflow Nov 4, 2021
Published by the National Vulnerability Database Nov 5, 2021
Reviewed Nov 8, 2021
Published to the GitHub Advisory Database Nov 10, 2021
Last updated Feb 1, 2023

Severity

Moderate
5.5
/ 10

CVSS base metrics

Attack vector
Local
Attack complexity
Low
Privileges required
Low
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Weaknesses

CVE ID

CVE-2021-41207

GHSA ID

GHSA-7v94-64hj-m82h

Source code

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