Skip to content
OpenAdvisories
Medium · 4.8 CVE-2022-41895 BIT-tensorflow-2022-41895EUVD-2022-7351GHSA-gq2j-cr96-gvqxPYSEC-2026-1000PYSEC-2026-3192PYSEC-2026-3332

`MirrorPadGrad` heap out of bounds read 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 `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. 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-gq2j-cr96-gvqx
PyPI tensorflow >= 2.9.0, < 2.9.3 2.9.3 GHSA-gq2j-cr96-gvqx
PyPI tensorflow >= 2.10.0, < 2.10.1 2.10.1 GHSA-gq2j-cr96-gvqx
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-2026-3192
PyPI tensorflow-cpu < 2.8.4 2.8.4 GHSA-gq2j-cr96-gvqx
PyPI tensorflow-cpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-gq2j-cr96-gvqx
PyPI tensorflow-cpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-gq2j-cr96-gvqx
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-2026-3332
PyPI tensorflow-gpu < 2.8.4 2.8.4 GHSA-gq2j-cr96-gvqx
PyPI tensorflow-gpu >= 2.9.0, < 2.9.3 2.9.3 GHSA-gq2j-cr96-gvqx
PyPI tensorflow-gpu >= 2.10.0, < 2.10.1 2.10.1 GHSA-gq2j-cr96-gvqx
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-2026-1000

References