TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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: 2022-09-16T19:45:20.000Z

Updated: 2025-04-23T17:04:04.792Z

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

Link: CVE-2022-35940

cve-icon Vulnrichment

Updated: 2024-08-03T09:51:59.069Z

cve-icon NVD

Status : Modified

Published: 2022-09-16T20:15:10.307

Modified: 2024-11-21T07:12:00.667

Link: CVE-2022-35940

cve-icon Redhat

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