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mlflow-skinny@3.9.0

MLflow is an open source platform for the complete machine learning lifecycle

  • latest version

    3.11.1

  • first published

    5 years ago

  • latest version published

    1 days ago

  • licenses detected

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    Direct Vulnerabilities

    Known vulnerabilities in the mlflow-skinny package. This does not include vulnerabilities belonging to this package’s dependencies.

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    VulnerabilityVulnerable Version
    • M
    Cross-site Scripting (XSS)

    Affected versions of this package are vulnerable to Cross-site Scripting (XSS) via unsafe parsing of YAML-based MLmodel artifacts in the web interface. An attacker can execute arbitrary scripts in the context of another user's browser session by uploading a crafted MLmodel file containing malicious payloads, which are triggered when the artifact is viewed in the UI. This can lead to actions such as session hijacking or performing unauthorized operations on behalf of the victim.

    How to fix Cross-site Scripting (XSS)?

    Upgrade mlflow-skinny to version 3.11.0rc1 or higher.

    [,3.11.0rc1)
    • M
    Missing Authorization

    Affected versions of this package are vulnerable to Missing Authorization due to missing access-control validation in the AJAX endpoint used for downloading saved model artifacts. An attacker can gain unauthorized access to model artifacts by directly querying this endpoint without proper permissions.

    How to fix Missing Authorization?

    Upgrade mlflow-skinny to version 3.11.0rc1 or higher.

    [,3.11.0rc1)
    • C
    Missing Authentication for Critical Function

    Affected versions of this package are vulnerable to Missing Authentication for Critical Function via the FastAPI endpoints under /ajax-api/3.0/jobs/* when the basic-auth app is enabled. An attacker can gain unauthorized access to submit, read, search, and cancel jobs by sending network requests without credentials, potentially leading to remote code execution, data exposure, or denial of service.

    Note:

    This is only exploitable if job execution is enabled (MLFLOW_SERVER_ENABLE_JOB_EXECUTION=true) and at least one job function is allowlisted.

    How to fix Missing Authentication for Critical Function?

    There is no fixed version for mlflow-skinny.

    [0,)
    • H
    Exposure of Sensitive System Information to an Unauthorized Control Sphere

    Affected versions of this package are vulnerable to Exposure of Sensitive System Information to an Unauthorized Control Sphere in the tracing and assessment endpoints. An attacker can access sensitive trace metadata and create unauthorized assessments by authenticating with any user account, even those with no permissions on the experiment.

    How to fix Exposure of Sensitive System Information to an Unauthorized Control Sphere?

    Upgrade mlflow-skinny to version 3.11.0rc0 or higher.

    [,3.11.0rc0)
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