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PyPI package

distributed

Open actionable advisories and recorded vendor fixes. This public package view has no inventory attached and cannot establish whether your deployment is affected. A vendor fix never resolves your finding; verify your installed version and the source guidance.

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2 actionable advisories, newest first. Withdrawn advisories and news are excluded. Coverage is partial.

  1. Medium, CVSS 5.3PyPIAmendedPublished

    Dask Distributed is Vulnerable to Remote Code Execution via Jupyter Proxy and Dashboard

    CVE-2026-23528 · GHSA-c336-7962-wfj2

    Affected
    • PyPI distributed < 2026.1.0
    Fixed in
    2026.1.0· Vendor fix available
    Issue
    Impact When Jupyter Lab, jupyter-server-proxy and Dask distributed are all run together it is possible to craft a URL which will result in code being executed by Jupyter due to a cross-side-scripting (XSS) bug in the Dask dashboard. It is possible for attackers to craft a phishing URL that assumes Jupyter Lab and Dask may be running on localhost and using default ports. If a user clicks on the malicious link it will open an error page in the Dask Dashboard via the Jupyter Lab proxy which will cause code to be executed by the default Jupyter Python kernel. In order for a user to be impacted they must be running Jupyter Lab locally on the default port (with the jupyter-server-proxy) and a Dask distributed cluster on the default port. Then they would need to click the link which would execute the malicious code. Patches This has been fixed in the 2026.1.0 release. All users should upgrade to this version. Mitigations There are no known workarounds for this bug. The only complete…

    Recommended action: Upgrade to 2026.1.0 or later, then redeploy and verify.A vendor fix does not resolve your finding until you verify it in your own systems.

    Sources:osv.dev (1)github.com (2)Source checked Evidence →
  2. Critical, CVSS 9.3PyPIAmendedPublished

    PYSEC-2021-387

    CVE-2021-42343 · GHSA-hwqr-f3v9-hwxr

    Affected
    • PyPI distributed < 2021.10.0
    Fixed in
    2021.10.0· Vendor fix available
    Issue
    An issue was discovered in Dask (aka python-dask) through 2021.09.1. 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 (typically with a randomly selected high port) 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 a sophisticated attacker to achieve remote code execution.

    Recommended action: Upgrade to 2021.10.0 or later, then redeploy and verify.A vendor fix does not resolve your finding until you verify it in your own systems.

    Sources:osv.dev (1)osv.dev (2)Source checked Evidence →