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.
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-08-12T23:05:10

Updated: 2024-08-04T01:23:01.401Z

Reserved: 2021-07-29T00:00:00

Link: CVE-2021-37678

cve-icon Vulnrichment

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cve-icon NVD

Status : Analyzed

Published: 2021-08-12T23:15:08.190

Modified: 2021-08-19T13:44:46.230

Link: CVE-2021-37678

cve-icon Redhat

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