CVE-2021-37678

moderate-risk
Published 2021-08-12

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.

Do I need to act?

~
1.0% chance of exploitation in next 30 days
EPSS score — moderate exploit probability
-
Not on CISA KEV list
No confirmed active exploitation reported to CISA
?
Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
9
CVSS 9.3/10 Critical
LOCAL / LOW complexity

Affected Products (5)

Affected Vendors

Google

References (4)

Patch https://github.com/tensorflow/tensorflow/commit/23d6383eb6c14084a8fc3bdf164043b9...
Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r6jx-9g48-2r5r
Patch https://github.com/tensorflow/tensorflow/commit/23d6383eb6c14084a8fc3bdf164043b9...
Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-r6jx-9g48-2r5r
43
/ 100
moderate-risk
Severity 28/34 · Critical
Exploitability 3/34 · Minimal
Exposure 12/34 · Low