CVE-2022-41911: Invalid char to bool conversion when printing a tensor in Tensorflow

Published Nov 18, 2022
·
Updated

TensorFlow is an open source platform for machine learning. When printing a tensor, we get it's data as a const char array (since that's the underlying storage) and then we typecast it to the element type. However, conversions from char to bool are undefined if the char is not 0 or 1, so sanitizers/fuzzers will crash. The issue has been patched in GitHub commit 1be74370327. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1, TensorFlow 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected Software

3 affected components
Google TensorFlow<2.8.4
Google TensorFlow>=2.9.0<2.9.3
Google TensorFlow=2.10.0

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade to a fixed release to a version that resolves this vulnerability.

    Patch 1be74370327
  2. Upgrade

    Upgrade to a fixed release to a version that resolves this vulnerability.

    Fixed in 2.11.0Patch 1be74370327
  3. Upgrade

    Upgrade to a fixed release to a version that resolves this vulnerability.

    Fixed in 2.10.1Patch 1be74370327
  4. Upgrade

    Upgrade to a fixed release to a version that resolves this vulnerability.

    Fixed in 2.9.3Patch 1be74370327
  5. Upgrade

    Upgrade to a fixed release to a version that resolves this vulnerability.

    Fixed in 2.8.4Patch 1be74370327

Event History

Nov 18, 2022
CVE Published
via MITRE·12:00 AM
Data Sourced
via MITRE·12:00 AM
DescriptionSeverityWeakness
Data Sourced
via NVD·10:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Free Weekly Intel

Don't miss critical vulnerabilities

Join thousands of security professionals who receive our weekly digest of trending CVEs, zero-days, and exploited vulnerabilities.

No spam. Unsubscribe anytime.

Frequently Asked Questions

1

What is the vulnerability ID of this TensorFlow vulnerability?

The vulnerability ID is CVE-2022-41911.

2

What is the severity of CVE-2022-41911?

The severity of CVE-2022-41911 is high.

3

Which software versions are affected by CVE-2022-41911?

Google TensorFlow versions up to 2.8.4, versions from 2.9.0 to 2.9.3, and version 2.10.0 are affected by CVE-2022-41911.

4

What is the CWE ID associated with CVE-2022-41911?

The CWE ID associated with CVE-2022-41911 is CWE-704.

5

Can you provide some references for CVE-2022-41911?

Sure, here are some references for CVE-2022-41911: [GitHub Link 1](https://github.com/tensorflow/tensorflow/blob/807cae8a807960fd7ac2313cde73a11fc15e7942/tensorflow/core/framework/tensor.cc#L1200-L1227), [GitHub Link 2](https://github.com/tensorflow/tensorflow/commit/1be743703279782a357adbf9b77dcb994fe8b508), [Security Advisory](https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pf36-r9c6-h97j).

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