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Vulnerability details: VCID-1ah5-hm7a-ykep
Vulnerability ID VCID-1ah5-hm7a-ykep
Aliases CVE-2022-21730
GHSA-vjg4-v33c-ggc4
PYSEC-2022-109
PYSEC-2022-54
Summary Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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 0.54937
EPSS Score 0.00316
Published At May 30, 2026, 12:55 p.m.
Date Actor Action Source VulnerableCode Version
2026-05-30T20:29:22.965764+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-54.yaml 38.6.0