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OpenAdvisories
High · 7.5 CVE-2023-25669 BIT-tensorflow-2023-25669EUVD-2023-1095GHSA-rcf8-g8jv-vg6pPYSEC-2026-1964PYSEC-2026-3236PYSEC-2026-3366

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Published Mar 24, 2023 · Updated Feb 19, 2025 · Assigned by GitHub_M

Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 2.11.1 —

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 3 tensorflow 2.11.1-1 —
Azure Linux 2 (CBL-Mariner) tensorflow 2.11.1-1 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.11.1 2.11.1 GHSA-rcf8-g8jv-vg6p
PyPI tensorflow-cpu < 2.11.1 2.11.1 GHSA-rcf8-g8jv-vg6p
PyPI tensorflow-gpu < 2.11.1 2.11.1 GHSA-rcf8-g8jv-vg6p

References