Vulnerability · Published Aug 12, 2021 · Assigned by GitHub_M
CVE-2021-37678Arbitrary code execution due to YAML deserialization
Critical 9.3
In plain English
A critical-severity unsafe deserialization in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.4% (higher than 39% of all known vulnerabilities). Ready-made attack tooling exists: public proof-of-concept code. Fixed versions are available - upgrade the affected package.
Official 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](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.
Affected packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.4, 2.4.3 | PYSEC-2021-300 |
| PyPI | tensorflow | 2.3.4 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow | 2.4.3 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow | 2.5.1 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-cpu | 2.4.3 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-cpu | 2.3.4, 2.4.3 | PYSEC-2021-591 |
| PyPI | tensorflow-cpu | 2.3.4 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-cpu | 2.5.1 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-gpu | 2.3.4, 2.4.3 | PYSEC-2021-789 |
| PyPI | tensorflow-gpu | 2.3.4 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-gpu | 2.4.3 | GHSA-r6jx-9g48-2r5r |
| PyPI | tensorflow-gpu | 2.5.1 | GHSA-r6jx-9g48-2r5r |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1>= 2.4.0, < 2.4.3< 2.3.4 |
Weakness: CWE-502 · Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H