TensorFlow is an end-to-end open source platform for machine learning. In affected versions TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/python/keras/saving/model_config.py#L66-L104) uses `yaml.unsafe_load` which can perform arbitrary code execution on the input. Given that YAML format support requires a significant amount of work, we have removed it for now. We have patched the issue in GitHub commit 23d6383eb6c14084a8fc3bdf164043b974818012. 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/23d6383eb6c14084a8fc3bdf164043b974818012 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r6jx-9g48-2r5r | Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-08-12T23:05:10
Updated: 2021-08-12T23:05:10
Reserved: 2021-07-29T00:00:00
Link: CVE-2021-37678
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-08-12T23:15:08.190
Modified: 2021-08-19T13:44:46.230
Link: CVE-2021-37678
JSON object: View
Redhat Information
No data.
CWE