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Vulnerability details: VCID-zfuy-5852-fug5
Vulnerability ID VCID-zfuy-5852-fug5
Aliases CVE-2022-23569
GHSA-qj5r-f9mv-rffh
PYSEC-2022-133
PYSEC-2022-78
Summary Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. 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)
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
2026-06-02T04:16:31.194262+00:00 Pypa Importer Import https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-gpu/PYSEC-2022-133.yaml 38.6.0