Safety vulnerability ID: 56802
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Intel-tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41196: 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 is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m539-j985-hcr8
Latest version: 2.14.0
TensorFlow is an open source machine learning framework for everyone.
This vulnerability has no description
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application