CVE-2023-6015: Arbitrary File Upload in MLflow
Summary
CVE-2023-6015: MLflow allowed arbitrary files to be PUT onto the server. Affects mlflow versions < 2.8.1. Fixed in 2.8.1. How to fix ↓
Also tracked for
- mlflow · Bitnami
The same CVE-2023-6015 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
MLflow is an open-source platform for managing the machine learning lifecycle. It provides tools for tracking experiments, packaging code, and deploying models. MLflow is widely used in the Python ecosystem and is available on PyPI. However, a critical vulnerability (CVE-2023-6015) has been identified in MLflow that allows attackers to upload arbitrary files onto the server.
Vulnerability Detail
The vulnerability in MLflow allows attackers to upload arbitrary files onto the server. This can lead to various security risks, such as unauthorized access, code execution, or data manipulation. Attackers can exploit this vulnerability by sending a specially crafted PUT request to the MLflow server, bypassing any authentication or authorization mechanisms. The impact of this vulnerability can be severe, as it provides attackers with the ability to compromise the integrity and confidentiality of the MLflow server and its associated data.
How To Fix
Latest published version: 3.17.2 as of 23 Oct 2026
pip install --upgrade "mlflow==3.17.2"Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.
If you need the minimum change
2.8.1
This is the first release that contains the fix.
pip install --upgrade "mlflow==2.8.1"Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →
Workaround
There is no known workaround for this vulnerability. It is crucial to upgrade MLflow to the latest version to mitigate the risk of arbitrary file uploads.
Conclusion
The vulnerability in MLflow allows attackers to upload arbitrary files onto the server, posing significant security risks. It is crucial to upgrade MLflow to version 2.8.1 or later to mitigate this vulnerability. For further support on vulnerability remediation, contact DevNack.com.
See every vulnerability recorded for mlflow →
FAQ
MLflow is an open-source platform for managing the machine learning lifecycle. It provides tools for tracking experiments, packaging code, and deploying models.
The vulnerability allows attackers to upload arbitrary files onto the MLflow server, which can lead to unauthorized access, code execution, or data manipulation.
To fix this vulnerability, upgrade MLflow to version 2.8.1 or later by running 'pip install --upgrade mlflow'.
There is no known workaround for this vulnerability. It is essential to upgrade MLflow to the latest version.
For more information about this vulnerability, refer to the official MLflow advisory: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/11/GHSA-f798-qm4r-23r5/GHSA-f798-qm4r-23r5.json
References
Related vulnerabilities
Recent vulnerabilities recorded for mlflow.
