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HIGH

Segfault in `QuantizedRelu` and `QuantizedRelu6`

Published Sep 16, 2022

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

Remediation

No remediation recorded yet.

References (6)

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
ENISA EUVD
Assigner GitHub_M
Published Sep 16, 2022
Updated Apr 23, 2025
Exploited since n/a
EUVD-2022-6944 GHSA-V7VW-577F-VP8X