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HIGH

Segfault in `QuantizeDownAndShrinkRange` in TensorFlow

Published Sep 16, 2022

Description

TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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

No data

ENISA EUVD

Assigner GitHub_M
Published Sep 16, 2022
Updated Apr 23, 2025