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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x | Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2022-09-16T21:05:12
Updated: 2022-09-16T21:05:12
Reserved: 2022-07-15T00:00:00
Link: CVE-2022-35974
JSON object: View
NVD Information
Status : Analyzed
Published: 2022-09-16T21:15:09.550
Modified: 2022-09-20T19:19:45.370
Link: CVE-2022-35974
JSON object: View
Redhat Information
No data.
CWE