| |
Vulnerability CVE-2022-35966
Published: 2022-09-16
| Description: |
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. |
Type:
CWE-20 (Improper Input Validation)
References: |
https://github.com/tensorflow/tensorflow/commit/7cdf9d4d2083b739ec81cfdace546b0c99f50622
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4w68-4x85-mjj9
|
|
|
Copyright 2026, cxsecurity.com
|
|
|
