CVEvulnerability

CVE-2021-37678

8.8 HIGH Published 2021-08-12 Modified 2026-06-17 Official page ↗
Status
Modified
Published
2021-08-12
Last modified
2026-06-17
Assigner
[email protected]
CVSS 3.1 ([email protected])
9.3 CRITICAL — CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
CVSS 3.1 ([email protected])
8.8 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
CVSS 2.0 ([email protected])
4.6 MEDIUM — AV:L/AC:L/Au:N/C:P/I:P/A:P
Weaknesses
CWE-502

Description

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 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.

Affected configurations

• google tensorflow (>= 2.3.0 < 2.3.4) • google tensorflow (>= 2.4.0 < 2.4.3) • google tensorflow 2.5.0 • google tensorflow 2.6.0

Related

Weakness · CWE (1)

  • CWE-502 Deserialization of Untrusted Data weakness

References