CVE-2022-35966

Advisory

TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35966: Segfault in 'QuantizedAvgPool'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9

Affected package

Affected versions

Fixed versions

Vulnerability changelog

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. See CVE-2022-35966.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
MISC:https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622: https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622

Resources

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
• https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622
• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35966