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Vulnerability details: VCID-psey-gff8-nyg8
Vulnerability ID VCID-psey-gff8-nyg8
Aliases CVE-2022-21737
GHSA-f2vv-v9cg-qhh7
PYSEC-2022-116
PYSEC-2022-61
Summary Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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.
Status Published
Exploitability None
Weighted Severity None
Risk None
Affected and Fixed Packages Package Details
Weaknesses (4)
System Score Found at
There are no known severity scores.
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:34.730218+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-116.yaml 38.6.0