Description (CNA)
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| tensorflow / tensorflow | affected >= 2.6.0, < 2.6.1; affected >= 2.5.0, < 2.5.2; affected < 2.4.4 |
CWE
CWE-191
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8
- https://github.com/tensorflow/tensorflow/issues/51936
- https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b
ADP enrichment
No English description supplied.