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Vulnerability details: VCID-axj7-aq9m-rqdu
Vulnerability ID VCID-axj7-aq9m-rqdu
Aliases CVE-2022-23571
GHSA-j3mj-fhpq-qqjj
PYSEC-2022-135
PYSEC-2022-80
Summary Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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 (3)
No exploits are available.
Exploit Prediction Scoring System (EPSS)
Percentile 0.30304
EPSS Score 0.00118
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:29:53.040034+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-135.yaml 38.6.0