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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/f3cf67ac5705f4f04721d15e485e192bb319feed | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r26c-679w-mrjm | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-09-16T22:10:31
Updated: 2022-09-16T22:10:31
Reserved: 2022-07-15T00:00:00
Link: CVE-2022-36005
JSON object: View
NVD Information
Status : Analyzed
Published: 2022-09-16T23:15:10.937
Modified: 2022-09-20T14:42:16.580
Link: CVE-2022-36005
JSON object: View
Redhat Information
No data.
CWE