dask@0.3.0 vulnerabilities

Parallel PyData with Task Scheduling

  • latest version

    2025.11.0

  • latest non vulnerable version

  • first published

    10 years ago

  • latest version published

    10 days ago

  • licenses detected

  • Direct Vulnerabilities

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

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    VulnerabilityVulnerable Version
    • M
    Incorrect Access Control

    dask is a Parallel PyData with Task Scheduling

    Affected versions of this package are vulnerable to Incorrect Access Control. Single machine Dask clusters started with dask.distributed.LocalCluster or dask.distributed.Client (which defaults to using LocalCluster) would mistakenly configure their respective Dask workers to listen on external interfaces rather than only on localhost. A Dask cluster created using this method (when running on a machine that has an applicable port exposed) could be used by an attacker to achieve remote code execution.

    How to fix Incorrect Access Control?

    Upgrade dask to version 2021.10.0 or higher.

    [0,2021.10.0)