TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cfpj-3q4c-jhvr | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-08-12T21:45:17
Updated: 2021-08-12T21:45:17
Reserved: 2021-07-29T00:00:00
Link: CVE-2021-37680
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-08-12T22:15:08.763
Modified: 2021-08-18T20:29:50.637
Link: CVE-2021-37680
JSON object: View
Redhat Information
No data.
CWE