CVE-2022-23584: Use after free in `DecodePng` in Tensorflow

Published Feb 4, 2022
·
Updated

Impact A malicious user can cause a use after free behavior when decoding PNG images: cc if (/ ... error conditions ... /) { png::CommonFreeDecode(&decode); OPREQUIRES(context, false, errors::InvalidArgument("PNG size too large for int: ", decode.width, " by ", decode.height)); } After png::CommonFreeDecode(&decode) gets called, the values of decode.width and decode.height are in an unspecified state.

Patches We have patched the issue in GitHub commit e746adbfcfee15e9cfdb391ff746c765b99bdf9b.

The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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.

Other sources

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After png::CommonFreeDecode(&decode) gets called, the values of decode.width and decode.height are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected Software

12 affected componentsFixes available
pip/tensorflow-gpu=2.7.0
2.7.1
pip/tensorflow-gpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-gpu<2.5.3
2.5.3
pip/tensorflow-cpu=2.7.0
2.7.1
pip/tensorflow-cpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-cpu<2.5.3
2.5.3
pip/tensorflow=2.7.0
2.7.1
pip/tensorflow>=2.6.0<2.6.3
2.6.3
pip/tensorflow<2.5.3
2.5.3
Google TensorFlow<=2.5.2
Google TensorFlow>=2.6.0<=2.6.2
Google TensorFlow=2.7.0

Event History

Feb 4, 2022
CVE Published
via MITRE·10:32 PM
Data Sourced
via MITRE·10:32 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·11:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Feb 9, 2022
Advisory Published
via GitHub·11:57 PM

Frequently Asked Questions

1

What is the severity of CVE-2022-23584?

CVE-2022-23584 has a high severity rating due to the potential for use after free vulnerabilities that can be exploited by malicious users.

2

How do I fix CVE-2022-23584?

To fix CVE-2022-23584, upgrade to TensorFlow version 2.7.1 or higher, or apply the specific patches provided by the TensorFlow team.

3

What versions of TensorFlow are affected by CVE-2022-23584?

CVE-2022-23584 affects TensorFlow versions up to 2.7.0, including versions 2.5.2, 2.6.0, and 2.6.2.

4

What kind of vulnerability is CVE-2022-23584?

CVE-2022-23584 is a use after free vulnerability that can occur when decoding PNG images in TensorFlow.

5

Can CVE-2022-23584 lead to arbitrary code execution?

Yes, the use after free vulnerability in CVE-2022-23584 could potentially lead to arbitrary code execution if exploited by an attacker.

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