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CVE-2026-10705

3.1 · LOW

A flaw has been found in dask up to 3.0.

Published Jun 3, 2026CWE-400EPSS 0.29%

Overview

CVE-2026-10705 is a low-severity vulnerability. It was published on June 3, 2026 and has a CVSS 3.1 base score of 3.1 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

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.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2026-10705?

CVE-2026-10705 is a low-severity vulnerability. It was published on June 3, 2026 and has a CVSS 3.1 base score of 3.1 (LOW).

How severe is CVE-2026-10705?

This vulnerability has a CVSS 3.1 base score of 3.1, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2026-10705?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-10705?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-10705 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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