CVE-2022-36005 MEDIUM

CVE-2022-36005: `CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow

Vendor Tensorflow
Product tensorflow
Weakness CWE-617
Published September 16, 2022
Last update April 23, 2025

CVSS base score

5.9/10
Attack vector Network
Attack complexity High
Privileges required None
User interaction None
Confidentiality None
Integrity None

CVSS vector

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

What the vulnerability does

01Description

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.

Key dates

02Disclosure timeline

September 16, 2022 CVE published
April 23, 2025 Record updated