CVE-2021-37678: Tensorflow Arbitrary Code Execution Due To Vulnerability

HIGH
Advisory Identifier: GHSA-r6jx-9g48-2r5r
CVSS 9.3
CWE-502
Published
Advisory Summary

CVE-2021-37678 is a HIGH (CVSS 9.3) arbitrary code execution due to vulnerability (CWE-502: Deserialization of Untrusted Data) affecting Tensorflow libraries in the PyPI ecosystem. The issue involves arbitrary code execution due to yaml deserialization. Remediation is available by upgrading affected packages to version 2.3.4, 2.4.3, 2.5.1.

CVE-2021-37678 at a Glance

CVE Identifier CVE-2021-37678
GHSA Identifier GHSA-r6jx-9g48-2r5r
Severity HIGH
CVSS v3.1 Base Score 9.3
CWE Classification CWE-502: Deserialization of Untrusted Data
Affected Product Tensorflow
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 9.3

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H).

Attack Vector Local (AV:L)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Changed (S:C)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (A:H)

How to Fix CVE-2021-37678

To remediate this vulnerability, upgrade all affected Tensorflow dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

tensorflow fixed: 2.3.4
pip install tensorflow>=2.3.4
tensorflow fixed: 2.4.3
pip install tensorflow>=2.4.3
tensorflow fixed: 2.5.1
pip install tensorflow>=2.5.1
tensorflow-cpu fixed: 2.3.4
pip install tensorflow-cpu>=2.3.4
tensorflow-cpu fixed: 2.4.3
pip install tensorflow-cpu>=2.4.3
tensorflow-cpu fixed: 2.5.1
pip install tensorflow-cpu>=2.5.1
tensorflow-gpu fixed: 2.3.4
pip install tensorflow-gpu>=2.3.4
tensorflow-gpu fixed: 2.4.3
pip install tensorflow-gpu>=2.4.3
tensorflow-gpu fixed: 2.5.1
pip install tensorflow-gpu>=2.5.1
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release:

pip show tensorflow

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2021-37678, inspect your installed packages using pip:

pip show tensorflow

Analyze the terminal output to locate any version of Tensorflow in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 2.3.4), your application is affected.

Note: The pip show tensorflow command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-502: Deserialization of Untrusted Data, where the product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid. In Tensorflow, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

### 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.

CVE-2021-37678 Affected Tensorflow Versions

9 component(s)
Fixed Versions:
2.3.42.4.32.5.1
Product / Package Ecosystem Affected Versions Fixed Version
tensorflow
PyPI
< 2.3.4
2.3.4
tensorflow
PyPI
≥ 2.4.0
< 2.4.3
2.4.3
tensorflow
PyPI
≥ 2.5.0
< 2.5.1
All 1 versions
2.5.0
2.5.1
tensorflow-cpu
PyPI
< 2.3.4
2.3.4
tensorflow-cpu
PyPI
≥ 2.4.0
< 2.4.3
2.4.3
tensorflow-cpu
PyPI
≥ 2.5.0
< 2.5.1
All 1 versions
2.5.0
2.5.1
tensorflow-gpu
PyPI
< 2.3.4
2.3.4
tensorflow-gpu
PyPI
≥ 2.4.0
< 2.4.3
2.4.3
tensorflow-gpu
PyPI
≥ 2.5.0
< 2.5.1
All 1 versions
2.5.0
2.5.1

References

Frequently Asked Questions

What is CVE-2021-37678?
CVE-2021-37678 is a security vulnerability in Tensorflow involving Arbitrary code execution due to YAML deserialization under CWE-502: Deserialization of Untrusted Data.
Which Tensorflow versions are affected?
Affected versions include releases prior to 2.3.4, 2.4.3, 2.5.1 across affected packages: tensorflow, tensorflow-cpu, tensorflow-gpu.
What version fixes CVE-2021-37678?
Upgrading to 2.3.4, 2.4.3, 2.5.1 (or the latest patched release for your respective branch) resolves the vulnerability.
Is tensorflow affected?
Yes, tensorflow is affected in releases prior to 2.3.4, 2.4.3, 2.5.1. Upgrade your dependency to 2.3.4, 2.4.3, 2.5.1 or later.
Is tensorflow-cpu affected?
Yes, tensorflow-cpu is affected in releases prior to 2.3.4, 2.4.3, 2.5.1. Upgrade your dependency to 2.3.4, 2.4.3, 2.5.1 or later.
What is the CVSS score of CVE-2021-37678?
CVE-2021-37678 has a CVSS v3.1 base score of 9.3 (HIGH) with vector string CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H.
What CWE is associated with CVE-2021-37678?
CVE-2021-37678 is classified under CWE-502: Deserialization of Untrusted Data (The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.).
How can I check PyPI dependencies for CVE-2021-37678?
Run the dependency tree command: 'pip show tensorflow'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
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