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.
Published 2021-08-12 23:15:08
Updated 2021-08-19 13:44:46
Source GitHub, Inc.
View at NVD,   CVE.org

Products affected by CVE-2021-37678

Exploit prediction scoring system (EPSS) score for CVE-2021-37678

0.09%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 39 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-37678

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
NIST
8.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
2.0
6.0
NIST
9.3
CRITICAL CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
2.5
6.0
GitHub, Inc.

CWE ids for CVE-2021-37678

  • The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
    Assigned by: security-advisories@github.com (Primary)

References for CVE-2021-37678

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