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OpenAdvisories
Medium · 4.8 CVE-2022-41911 BIT-tensorflow-2022-41911EUVD-2022-7399GHSA-pf36-r9c6-h97jPYSEC-2026-1954PYSEC-2026-3222PYSEC-2026-939

Invalid char to bool conversion when printing a tensor in Tensorflow

Published Nov 18, 2022 · Updated Apr 23, 2025 · Assigned by GitHub_M

Description

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 products

VendorProductAffectedFixed
tensorflow tensorflow >= 2.10.0, < 2.10.1, >= 2.9.0, < 2.9.3, < 2.8.4 —

Fixed in Linux distributions

Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.

Azure Linux

ReleasePackageFixed inAdvisory
Azure Linux 2 (CBL-Mariner) tensorflow 2.11.0-1 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.8.4 2.8.4 GHSA-pf36-r9c6-h97j
PyPI tensorflow >= 2.9.0, < 2.9.3 2.9.3 GHSA-pf36-r9c6-h97j
PyPI tensorflow >= 2.10.0, < 2.10.1 2.10.1 GHSA-pf36-r9c6-h97j
PyPI tensorflow < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1 PYSEC-2026-3222
PyPI tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-pf36-r9c6-h97j
PyPI tensorflow-cpu < 2.8.4 2.8.4 GHSA-pf36-r9c6-h97j
PyPI tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-pf36-r9c6-h97j
PyPI tensorflow-cpu < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1 PYSEC-2026-939
PyPI tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-pf36-r9c6-h97j
PyPI tensorflow-gpu < 2.8.4 2.8.4 GHSA-pf36-r9c6-h97j
PyPI tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-pf36-r9c6-h97j
PyPI tensorflow-gpu < 2.8.4 · >= 2.9.0, < 2.9.3 · >= 2.10.0, < 2.10.1 2.8.4, 2.9.3, 2.10.1 PYSEC-2026-1954

References