Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
History

Mon, 05 May 2025 17:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'poc', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2022-02-03T11:07:40.000Z

Updated: 2025-05-05T16:32:51.904Z

Reserved: 2021-11-16T00:00:00.000Z

Link: CVE-2022-21727

cve-icon Vulnrichment

Updated: 2024-08-03T02:53:35.841Z

cve-icon NVD

Status : Modified

Published: 2022-02-03T11:15:07.953

Modified: 2025-05-05T17:17:48.730

Link: CVE-2022-21727

cve-icon Redhat

No data.