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OpenAdvisories
High · 8.1 CVE-2022-21730 BIT-tensorflow-2022-21730EUVD-2022-0293GHSA-vjg4-v33c-ggc4PYSEC-2022-109PYSEC-2022-54PYSEC-2026-3247

Out of bounds read in Tensorflow

Published Feb 3, 2022 · Updated May 5, 2025 · Assigned by GitHub_M

Package: tensorflow Package: tensorflow-cpu Package: tensorflow-gpu Ecosystem: PyPI

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.5.3 2.5.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow >= 2.6.0, < 2.6.3 2.6.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow >= 2.7.0, < 2.7.1 2.7.1 GHSA-vjg4-v33c-ggc4
PyPI tensorflow < 2.5.3 · >= 2.6.0, < 2.6.3 · >= 2.7.0, < 2.7.1 2.5.3, 2.6.3, 2.7.1 PYSEC-2026-3247
PyPI tensorflow-cpu < 2.5.3 2.5.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-cpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-cpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-cpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-54
PyPI tensorflow-gpu < 2.5.3 2.5.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-gpu >= 2.6.0, < 2.6.3 2.6.3 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-gpu >= 2.7.0, < 2.7.1 2.7.1 GHSA-vjg4-v33c-ggc4
PyPI tensorflow-gpu < 2.5.3 · >= 2.6.0, < 2.6.3 2.5.3, 2.6.3 PYSEC-2022-109

References