5.3

CVSS Score

4.0

-

CVSS Score

Basic Information

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CVE-2026-23528

CVE-2026-23528: Dask distributed Vulnerable to Remote Code Execution via Jupyter Proxy and Dashboard

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.

(GitHub Advisory)

Miggo Vulnerability Database

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CVE-2026-23528

CVE-2026-23528:

5.3

CVSS Score

4.0

-

CVSS Score

Basic Information

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Technical Details

Package Name	Ecosystem	Vulnerable Versions	First Patched Version
distributed	pip	< 2026.1.1	2026.1.1

Technical Details

Vulnerability Intelligence
Miggo AI

Root Cause Analysis

The vulnerability is a cross-site scripting (XSS) issue in the Dask dashboard that can be escalated to remote code execution when run with Jupyter Lab and jupyter-server-proxy. The root cause lies in the distributed/http/proxy.py file, specifically within the http_get method of the Proxy class. The provided patch ab72092a8a938923c2bb51a2cd14ca26614827fa shows that the worker variable, derived from the URL, was being inserted into an error message without sanitization. The fix involves using html.escape() on the worker variable before it is rendered in the response. This prevents an attacker from injecting malicious scripts into the error page. Therefore, the Proxy.http_get function is the direct location of the vulnerability where the untrusted input is processed and reflected.

Vulnerable functions

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WAF Protection Rules

WAF Rule

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Reasoning

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