CVE-2023-43472: Information exposure in MLflow
An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.
Published Dec 5, 2023 · Updated Dec 11, 2023
Affected packages
mlflow
- Ecosystem
- PyPI
- Affected
- < 2.9.0
- Fixed in
- 2.9.0
- Check
pip show mlflow
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted request to REST API.
References
- https://nvd.nist.gov/vuln/detail/CVE-2023-43472
- https://www.contrastsecurity.com/security-influencers/discovering-mlflow-framework-zero-day-vulnerability-machine-language-model-security-contrast-security
- https://mlflow.org/news/2023/12/06/2.9.0-release/index.html
- https://github.com/advisories/GHSA-wqxf-447m-6f5f
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
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All MLflow entriesGHSA-gqvg-gmmx-x4hm
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