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Python CVE-2026-23528

MEDIUM
Cross-site Scripting (XSS) (CWE-79)
2026-01-16 security-advisories@github.com GHSA-c336-7962-wfj2
6.1
CVSS 3.1 · GitHub Advisory
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Severity by source

GitHub Advisory PRIMARY
6.1 MEDIUM
AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Changed
Confidentiality
Low
Integrity
Low
Availability
None

Lifecycle Timeline

3
Analysis Generated
Mar 12, 2026 - 21:54 vuln.today
Patch released
Mar 12, 2026 - 18:29 nvd
Patch available
CVE Published
Jan 16, 2026 - 17:15 nvd
MEDIUM 6.1

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 1 pypi packages depend on distributed (0 direct, 1 indirect)

Ecosystem-wide dependent count for version 2026.1.0.

DescriptionGitHub Advisory

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.

AnalysisAI

Dask distributed is a distributed task scheduler for Dask. [CVSS 6.1 MEDIUM]

Technical ContextAI

Classified as CWE-79 (Cross-site Scripting (XSS)). Affects Dask. 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

RemediationAI

A vendor patch is available — apply it immediately. Fixed in version 2026.1.0.. Implement output encoding and Content Security Policy headers. Restrict network access to the affected service where possible.

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CVE-2026-23528 vulnerability details – vuln.today

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