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CVE-2026-95897

Dask Loader core.py from_npy_stack deserialization

A security vulnerability has been detected in Dask up to 2026.8.0. This affects the function from_npy_stack of the file dask/array/core.py of the component Loader. Such manipulation leads to deserialization. The attack can be launched remotely. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.

CVSS 4.0 · 5.1 Medium EPSS < 1% KEV · Not listed
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CVE-2026-10705

dask HLL hyperloglog.py nunique_approx resource consumption

A flaw has been found in dask up to 3.0. Affected by this issue is the function nunique_approx of the file dask/dataframe/hyperloglog.py of the component HLL Handler. This manipulation causes resource consumption. The attack is possible to be carried out remotely. A high degree of complexity is needed for the attack. The exploitation is known to be difficult. The pull request to fix this issue awaits acceptance.

CVSS 4.0 · 2.3 Low EPSS < 1% KEV · Not listed
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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.

CVSS 4.0 · 5.3 Medium EPSS < 1% KEV · Not listed
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