CVE-2022-36005

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.

Score

CVSS 3.1 7.5 High

Status

Modified - security-advisories@github.com

Published

2022-09-16

Last modified

2025-04-23

Weaknesses

CWE-617

Affected products

• Tensorflow (Google)
• Tensorflow (Tensorflow)

References

• https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed
• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm