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HIGH

`CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow

Published Sep 16, 2022

Description

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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

Remediation

No remediation recorded yet.

Metrics

Weaknesses (1)

References (5)

Change history (0)

No recorded changes yet.

Sources
CVE.org / MITRE
Status PUBLISHED
Assigner GitHub_M
Published Sep 16, 2022
Updated Apr 23, 2025
Reserved Jul 15, 2022
CISA Vulnrichment
Updated Apr 23, 2025
NVD
Status Modified
Modified Jun 17, 2026
Red Hat
Severity n/a
Public date n/a
GHSA-R26C-679W-MRJM