CVE-2026-95897: Deserialization in Dask
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.
AI Analysis
Technical Summary
This vulnerability in Dask's from_npy_stack function allows remote attackers to manipulate deserialization processes, potentially leading to security risks. It affects all versions up to and including 2026.8.0. The issue was reported early to the project, but no fix or official response has been provided. The CVSS 4.0 base score is 5.1, indicating medium severity, with network attack vector, low attack complexity, and partial impacts on confidentiality, integrity, and availability.
Potential Impact
The vulnerability enables remote attackers to exploit deserialization flaws in Dask, which could lead to unauthorized code execution or data manipulation. The impact is rated medium severity with partial loss of confidentiality, integrity, and availability. No known exploits are currently observed in the wild.
Mitigation Recommendations
No official patch or remediation has been announced by the vendor. Users should monitor the vendor's advisory channels for updates. Until a fix is available, consider restricting access to Dask services or applying additional input validation where possible to mitigate deserialization risks.
CVE-2026-95897: Deserialization in Dask
Description
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 v4.0
Score 5.1medium
Affected software
Dask
pkg:pypi/daskcpe:2.3:a:dask:dask:*:*:*:*:*:*:*:*Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability in Dask's from_npy_stack function allows remote attackers to manipulate deserialization processes, potentially leading to security risks. It affects all versions up to and including 2026.8.0. The issue was reported early to the project, but no fix or official response has been provided. The CVSS 4.0 base score is 5.1, indicating medium severity, with network attack vector, low attack complexity, and partial impacts on confidentiality, integrity, and availability.
Potential Impact
The vulnerability enables remote attackers to exploit deserialization flaws in Dask, which could lead to unauthorized code execution or data manipulation. The impact is rated medium severity with partial loss of confidentiality, integrity, and availability. No known exploits are currently observed in the wild.
Mitigation Recommendations
No official patch or remediation has been announced by the vendor. Users should monitor the vendor's advisory channels for updates. Until a fix is available, consider restricting access to Dask services or applying additional input validation where possible to mitigate deserialization risks.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-09-22T17:07:14.182Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6ab32561f7a7c54106128d05
Added to database: 09/23/2026, 01:03:29 UTC
Last enriched: 09/23/2026, 01:17:51 UTC
Last updated: 09/23/2026, 01:58:06 UTC
Views: 5
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