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.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw | Exploit Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-11-05 16:15
Updated : 2021-11-10 08:55
NVD link : CVE-2021-41225
Mitre link : CVE-2021-41225
JSON object : View
CWE
CWE-908
Use of Uninitialized Resource
Products Affected
- tensorflow