Safety vulnerability ID: 42472
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41225: In affected versions, TensorFlow's Grappler optimizer has a use of unitialized variable. If the 'train_nodes' vector (obtained from the saved model that gets optimized) does not contain a 'Dequeue' node, then 'dequeue_node' is left unitialized. The fix is also included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. 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. See CVE-2021-41225.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
MISC:https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3: https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application