CVE-2021-37642: Division by 0 in `ResourceScatterDiv` in TensorFlow

Published Aug 12, 2021
·
Updated

Impact The implementation of tf.rawops.ResourceScatterDiv is vulnerable to a division by 0 error:

python import tensorflow as tf

v= tf.Variable([1,2,3]) tf.rawops.ResourceScatterDiv( resource=v.handle, indices=[1], updates=[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 4aacb30888638da75023e6601149415b39763d76.

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.

Other sources

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.rawops.ResourceScatterDiv is vulnerable to a division by 0 error. The implementation uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. 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.

Affected Software

15 affected componentsFixes available
pip/tensorflow-gpu=2.5.0
2.5.1
pip/tensorflow-gpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-gpu<2.3.4
2.3.4
pip/tensorflow-cpu=2.5.0
2.5.1
pip/tensorflow-cpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-cpu<2.3.4
2.3.4
pip/tensorflow=2.5.0
2.5.1
pip/tensorflow>=2.4.0<2.4.3
2.4.3
pip/tensorflow<2.3.4
2.3.4
Google TensorFlow>=2.3.0<2.3.4
Google TensorFlow>=2.4.0<2.4.3
Google TensorFlow=2.5.0
Google TensorFlow=2.6.0-rc0
Google TensorFlow=2.6.0-rc1
Google TensorFlow=2.6.0-rc2

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.5.1
  2. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.4.3
  3. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.3.4
  4. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.5.1
  5. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.4.3
  6. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.3.4
  7. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.5.1
  8. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.4.3
  9. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.3.4
  10. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.6.0
  11. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Patch 4aacb30888638da75023e6601149415b39763d76
  12. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.5.1Patch 4aacb30888638da75023e6601149415b39763d76
  13. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.4.3Patch 4aacb30888638da75023e6601149415b39763d76
  14. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.3.4Patch 4aacb30888638da75023e6601149415b39763d76

Event History

Aug 12, 2021
CVE Published
via MITRE·05:35 PM
Data Sourced
via MITRE·05:35 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·06:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Aug 25, 2021
Advisory Published
via GitHub·02:43 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-37642?

CVE-2021-37642 has a medium severity due to the potential for a division by zero error.

2

How do I fix CVE-2021-37642?

To fix CVE-2021-37642, upgrade TensorFlow to version 2.5.1 or later.

3

Which versions of TensorFlow are affected by CVE-2021-37642?

CVE-2021-37642 affects TensorFlow versions 2.3.0 up to 2.3.4, 2.4.0 up to 2.4.3, and specific release candidates of 2.6.0.

4

What is the impact of CVE-2021-37642?

The impact of CVE-2021-37642 includes application crashes or unexpected behavior due to division by zero errors.

5

Is CVE-2021-37642 exploit-related?

CVE-2021-37642 may be exploited if unhandled by the developer, leading to application instability.

Company

Resources

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203