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OpenAdvisories
Medium · 5.9 CVE-2022-35979 BIT-tensorflow-2022-35979EUVD-2022-6944GHSA-v7vw-577f-vp8xPYSEC-2026-1038PYSEC-2026-3245PYSEC-2026-3372

Segfault in `QuantizedRelu` and `QuantizedRelu6`

Published Sep 16, 2022 · Updated Apr 23, 2025 · Assigned by GitHub_M

Description

TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected products

VendorProductAffectedFixed
tensorflow tensorflow < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI tensorflow < 2.7.2 2.7.2 GHSA-v7vw-577f-vp8x
PyPI tensorflow >= 2.8.0, < 2.8.1 2.8.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow >= 2.9.0, < 2.9.1 2.9.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-3245
PyPI tensorflow-cpu < 2.7.2 2.7.2 GHSA-v7vw-577f-vp8x
PyPI tensorflow-cpu >= 2.8.0, < 2.8.1 2.8.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow-cpu >= 2.9.0, < 2.9.1 2.9.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow-cpu < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-3372
PyPI tensorflow-gpu < 2.7.2 2.7.2 GHSA-v7vw-577f-vp8x
PyPI tensorflow-gpu >= 2.8.0, < 2.8.1 2.8.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow-gpu >= 2.9.0, < 2.9.1 2.9.1 GHSA-v7vw-577f-vp8x
PyPI tensorflow-gpu < 2.7.2 · >= 2.8.0, < 2.8.1 · >= 2.9.0, < 2.9.1 2.7.2, 2.8.1, 2.9.1 PYSEC-2026-1038

References