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OpenAdvisories
Medium · 5.5 CVE-2022-41889 BIT-tensorflow-2022-41889EUVD-2022-7469GHSA-xxcj-rhqg-m46gPYSEC-2026-1050PYSEC-2026-3262PYSEC-2026-3384

Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow

Published Nov 18, 2022 · Updated Apr 22, 2025 · Assigned by GitHub_M

Description

TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 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-xxcj-rhqg-m46g
PyPI tensorflow >= 2.9.0, < 2.9.3 2.9.3 GHSA-xxcj-rhqg-m46g
PyPI tensorflow >= 2.10.0, < 2.10.1 2.10.1 GHSA-xxcj-rhqg-m46g
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-2026-3262
PyPI tensorflow-cpu < 2.8.4 2.8.4 GHSA-xxcj-rhqg-m46g
PyPI tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-xxcj-rhqg-m46g
PyPI tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-xxcj-rhqg-m46g
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-2026-3384
PyPI tensorflow-gpu < 2.8.4 2.8.4 GHSA-xxcj-rhqg-m46g
PyPI tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-xxcj-rhqg-m46g
PyPI tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-xxcj-rhqg-m46g
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-2026-1050

References