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CRITICAL severity

GHSA-hwqr-f3v9-hwxr — distributed

CRITICALFix: dask/distributed#5427

GHSA-hwqr-f3v9-hwxr is a critical-severity (CVSS 9.8) remote code execution vulnerability in distributed. A fix is available for distributed — see the affected versions and patch details below.

Workers for local Dask clusters mistakenly listened on public interfaces

Also known asCVE-2021-42343GHSA-j8fq-86c5-5v2rPYSEC-2021-387PYSEC-2021-871
Published
Jul 15, 2022
Updated
Jul 9, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Sep 26, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
3.0%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs87th percentile — riskier than 87% of all scored CVEsHighest risk

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

GHSA-hwqr-f3v9-hwxr by exploitation likelihood (EPSS) against impact (CVSS). Outside the shaded patch-first corner.

Where this sits among everything scored

Of 379,842 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Counts from FIRST.org, log-scaled.

Real-World Exposure

1 pkg affected
🐍distributed

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Versions of distributed earlier than 2021.10.0 had a potential security vulnerability relating to single-machine Dask clusters.

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 AND running on a machine that has these ports exposed could be used by a sophisticated attacker to enable remote code execution. Users running on machines with standard firewalls in place, or using clusters created via cluster objects other than LocalCluster (e.g. dask_kubernetes.KubeCluster) should not be affected. This vulnerability is documented in CVE-2021-42343, and was fixed in version 2021.10.0 (PR #5427).

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIdistributedall versions2021.10.0pip install --upgrade 'distributed==2021.10.0'

Affected Products

1 product · 1 configurations
Application
daskanaconda
< 2021.10.0
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for distributed, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update distributed to 2021.10.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-hwqr-f3v9-hwxr is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

Versions of `distributed` earlier than `2021.10.0` had a potential security vulnerability relating to single-machine Dask clusters. 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 AND running on a machine that has these ports exposed could be used by a sophisticated attacker to enable remote code execution. U
O3 Security · Impact-Aware SCA

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GHSA-hwqr-f3v9-hwxr: RCE (Critical 9.8) | O3 Security