CVE-2022-35966: Improper Input Validation

September 16, 2022 (updated September 20, 2022)

TensorFlow is an open source platform for machine learning. If QuantizedAvgPool is given min_input or max_input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

References

github.com/advisories/GHSA-4w68-4x85-mjj9
github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622
github.com/tensorflow/tensorflow/releases/tag/v2.10.0
github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9

Detect and mitigate CVE-2022-35966 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →