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.
History

Wed, 23 Apr 2025 17:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2022-09-16T21:05:12.000Z

Updated: 2025-04-23T17:02:36.673Z

Reserved: 2022-07-15T00:00:00.000Z

Link: CVE-2022-35974

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.855Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T21:15:09.550

Modified: 2024-11-21T07:12:05.363

Link: CVE-2022-35974

cve-icon Redhat

No data.