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VulnerabilityPublished

CVE-2026-23528: dask distributed · Basic XSS

Affects dask distributedSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium : upgrade to 2026.1.0 when convenient.

Data as of 26 Oct 2026, 17:16 UTC

CVSS 4.0 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 14% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 2026.1.0
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 16 Jan 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Upgrade dask distributed to 2026.1.0.

Affected software

ProductAffectedFixed in
daskdistributedAffected
  • <2026.1.0
Fixed in
  • 2026.1.0
PyPIdistributedpkg:pypi/distributedOther threatsAffected
  • <2026.1.0
Fixed in
  • 2026.1.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

European organizations should immediately upgrade Dask distributed to version 2026.1.0 or later to apply the fix. Additionally, organizations should enforce best practices such as disabling default ports or restricting access to Jupyter Lab and Dask dashboards via network controls or VPNs. Educate users to be cautious of unsolicited URLs, especially those targeting localhost services. Implement Content Security Policy (CSP) headers where possible to restrict script execution in web interfaces. Regularly audit and monitor logs for unusual access patterns to Jupyter and Dask dashboards. Consider isolating Jupyter and Dask environments using containerization or virtual machines to limit impact of potential exploitation. Finally, review and harden proxy configurations to prevent unauthorized access to internal dashboards.

Description

Dask distributed is a distributed task scheduler for Dask. Prior to 2026.1.0, 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. This vulnerability is fixed in 2026.1.0.

References

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