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Vulnerability details: VCID-z8wr-n2z5-pffq
Vulnerability ID VCID-z8wr-n2z5-pffq
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)
CWE-125 Out-of-bounds Read
CWE-937 OWASP Top Ten 2013 Category A9 - Using Components with Known Vulnerabilities
CWE-1035 OWASP Top Ten 2017 Category A9 - Using Components with Known Vulnerabilities
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-54.yaml
https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-109.yaml
https://github.com/tensorflow/tensorflow
https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360
https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vjg4-v33c-ggc4
CVE-2022-21730 https://nvd.nist.gov/vuln/detail/CVE-2022-21730
GHSA-vjg4-v33c-ggc4 https://github.com/advisories/GHSA-vjg4-v33c-ggc4
No exploits are available.
There are no known vectors.

No EPSS data available for this vulnerability.

Date Actor Action Source VulnerableCode Version
2026-06-02T04:16:24.423526+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2022-54.yaml 38.6.0