🛡️ CVE-2021-37678 — tensorflow
Description
Arbitrary code execution due to YAML deserialization
Impact
TensorFlow and Keras can be tricked to perform arbitrary code execution when deserializing a Keras model from YAML format.
```python
from tensorflow.keras import models
payload = '''
!!python/object/new:type
args: ['z', !!python/tuple [], {'extend': !!python/name:exec }]
listitems: "__import__('os').system('cat /etc/passwd')"
'''
models.model_from_yaml(payload)
```
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.
Patches
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](https://github.com/tensorflow/tensorflow/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.
For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.
Attribution
This vulnerability has been reported by Arjun Shibu.
How this vulnerability can be exploited
This issue can be reached with local access to the system, attack complexity is low, an attacker needs low-level privileges on the target. No user interaction is required. Rated impact: confidentiality high, integrity high, availability high.
Weakness class
CVE-2021-37678 is classified as CWE-502: Deserialization of Untrusted Data. Serialised data from an untrusted source is reconstructed into objects, which can trigger code during the process.
Affected software
CVE-2021-37678 is recorded against 3 packages.
- tensorflow
- tensorflow-cpu (from 2.5.0 up to 2.5.1)
- tensorflow-gpu (from 2.5.0 up to 2.5.1)
Timeline and source
Published on 6 March 2024 and last revised on 8 July 2026. No public exploit is currently recorded for this entry. A vendor advisory or fix has been published. Record sourced from OSV.
References
Details
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| tensorflow | — | — |
| tensorflow-cpu | 2.5.0 | 2.5.1 |
| tensorflow-gpu | 2.5.0 | 2.5.1 |
References
Similar Threats
More CVE 2021 advisories
Browse all of CVE 2021 in the advisory index.
Site Security Check
Is tensorflow part of your stack?
CVE-2021-37678 is rated CVSS 8.0 High. BotEraser scans your installation against known CVE records and tells you whether this vulnerability applies to the versions you actually run.
Scan My Site Free →No credit card required · Results in minutes
ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.