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Suggestion detail

Untriaged
Permalink CVE-2024-27133
7.5 HIGH
  • CVSS version: 3.1
  • Attack vector (AV): NETWORK
  • Attack complexity (AC): HIGH
  • Privileges required (PR): NONE
  • User interaction (UI): REQUIRED
  • Scope (S): UNCHANGED
  • Confidentiality impact (C): HIGH
  • Integrity impact (I): HIGH
  • Availability impact (A): HIGH
created 6 months ago
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset.

Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerability stems from lack of sanitization over dataset table fields.

References

Affected products

mlflow
  • =<2.9.2

Matching in nixpkgs

pkgs.mlflow-server

Open source platform for the machine learning lifecycle

  • nixos-unstable -

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