Nixpkgs security tracker
Stored XSS via unsafe YAML parsing in MLflow
MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim. This issue affects MLflow version through 3.10.1
References
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https://cert.pl/en/posts/2026/04/CVE-2026-33865/ third-party-advisory
Affected products
- =<3.10.1
Matching in nixpkgs
pkgs.mlflow-server
Open source platform for the machine learning lifecycle
pkgs.pkgsRocm.mlflow-server
Open source platform for the machine learning lifecycle
pkgs.python312Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.python313Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.python314Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.pkgsRocm.python3Packages.mlflow
Open source platform for the machine learning lifecycle
pkgs.python312Packages.sagemaker-mlflow
MLFlow plugin for SageMaker
pkgs.python313Packages.sagemaker-mlflow
MLFlow plugin for SageMaker
pkgs.python314Packages.sagemaker-mlflow
MLFlow plugin for SageMaker
Package maintainers
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@tbenst Tyler Benster <nix@tylerbenster.com>
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@GaetanLepage Gaetan Lepage <gaetan@glepage.com>