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Vulnerability details: VCID-xn72-z6kg-q7bp
Vulnerability ID VCID-xn72-z6kg-q7bp
Aliases GHSA-wcv5-vrvr-3rx2
GMS-2022-50
GMS-2022-53
GMS-2022-56
Summary Integer Overflow or Wraparound in TensorFlow ### Impact The Grappler component of TensorFlow is vulnerable to a denial of service via `CHECK`-failure in constant folding for ; // ... } ``` The `output_prop` tensor has a shape that is controlled by user input and this can result in triggering one of the `CHECK`s in the `PartialTensorShape` constructor. This is an instance of TFSA-2021-198 . ### Patches We have patched the issue in GitHub commit be7b286d40bc68cb0b56f702186cc4837d508058 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. ### For more information Please consult [our security guide] for more information regarding the security model and how to contact us with issues and questions.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (3)
No exploits are available.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-05-30T20:56:51.160606+00:00 GitLab Importer Import https://gitlab.com/gitlab-org/advisories-community/-/blob/main/pypi/tensorflow-gpu/GMS-2022-56.yml 38.6.0