CVE-2026-10705: Resource Consumption in dask
CVE-2026-10705 is a resource consumption vulnerability in the dask library version 3. 0, specifically in the nunique_approx function within dask/dataframe/hyperloglog. py. The issue can be triggered remotely but requires a high degree of attack complexity and is difficult to exploit. No official fix or patch has been released yet, though a pull request addressing the issue is pending acceptance. The vulnerability is rated as low severity with a CVSS score of 2. 3.
AI Analysis
Technical Summary
This vulnerability involves resource consumption caused by a flaw in the nunique_approx function of dask's HLL Handler component. The vulnerability affects dask up to version 3.0. Exploitation requires remote access and a high level of complexity, making it difficult to carry out. There is currently no official remediation or patch available, but a fix is under review in a pending pull request.
Potential Impact
The impact is limited to resource consumption, which could degrade performance or availability of the affected dask service or application. There are no indications of privilege escalation, data confidentiality loss, or integrity compromise. Exploitation is difficult and requires complex conditions, reducing the likelihood of successful attacks.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since a pull request fix is pending acceptance, monitor the official dask repository or vendor advisories for updates. Until an official fix is released, consider limiting exposure of the affected dask service to untrusted networks to reduce risk.
CVE-2026-10705: Resource Consumption in dask
Description
CVE-2026-10705 is a resource consumption vulnerability in the dask library version 3. 0, specifically in the nunique_approx function within dask/dataframe/hyperloglog. py. The issue can be triggered remotely but requires a high degree of attack complexity and is difficult to exploit. No official fix or patch has been released yet, though a pull request addressing the issue is pending acceptance. The vulnerability is rated as low severity with a CVSS score of 2. 3.
CVSS v4.0
Score 2.3low
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves resource consumption caused by a flaw in the nunique_approx function of dask's HLL Handler component. The vulnerability affects dask up to version 3.0. Exploitation requires remote access and a high level of complexity, making it difficult to carry out. There is currently no official remediation or patch available, but a fix is under review in a pending pull request.
Potential Impact
The impact is limited to resource consumption, which could degrade performance or availability of the affected dask service or application. There are no indications of privilege escalation, data confidentiality loss, or integrity compromise. Exploitation is difficult and requires complex conditions, reducing the likelihood of successful attacks.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since a pull request fix is pending acceptance, monitor the official dask repository or vendor advisories for updates. Until an official fix is released, consider limiting exposure of the affected dask service to untrusted networks to reduce risk.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-06-02T17:46:25.630Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a1f87f3e29bf47b50457a47
Added to database: 6/3/2026, 1:48:35 AM
Last enriched: 6/3/2026, 2:03:27 AM
Last updated: 6/3/2026, 2:50:01 AM
Views: 7
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