Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.
History

Tue, 22 Apr 2025 19:15:00 +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: 2022-02-04T22:32:29.000Z

Updated: 2025-04-22T18:24:19.179Z

Reserved: 2022-01-19T00:00:00.000Z

Link: CVE-2022-23572

cve-icon Vulnrichment

Updated: 2024-08-03T03:43:46.825Z

cve-icon NVD

Status : Modified

Published: 2022-02-04T23:15:14.230

Modified: 2024-11-21T06:48:50.483

Link: CVE-2022-23572

cve-icon Redhat

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