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4 vulnerabilities found for dask by anaconda
CVE-2026-23528 (GCVE-0-2026-23528)
Vulnerability from nvd – Published: 2026-01-16 16:44 – Updated: 2026-01-16 17:21
VLAI
Title
Dask distributed Vulnerable to Remote Code Execution via Jupyter Proxy and Dashboard
Summary
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.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/dask/distributed/security/advi… | x_refsource_CONFIRM |
| https://github.com/dask/distributed/commit/ab7209… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| dask | distributed |
Affected:
< 2026.1.0
|
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CVE-2021-42343 (GCVE-0-2021-42343)
Vulnerability from nvd – Published: 2021-10-26 10:23 – Updated: 2024-08-04 03:30
VLAI
Summary
An issue was discovered in the Dask distributed package before 2021.10.0 for Python. Single machine Dask clusters started with dask.distributed.LocalCluster or dask.distributed.Client (which defaults to using LocalCluster) would mistakenly configure their respective Dask workers to listen on external interfaces (typically with a randomly selected high port) rather than only on localhost. A Dask cluster created using this method (when running on a machine that has an applicable port exposed) could be used by a sophisticated attacker to achieve remote code execution.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://docs.dask.org/en/latest/changelog.html | x_refsource_MISC |
| https://github.com/dask/dask/tags | x_refsource_MISC |
| https://github.com/dask/distributed/security/advi… | x_refsource_CONFIRM |
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CVE-2026-23528 (GCVE-0-2026-23528)
Vulnerability from cvelistv5 – Published: 2026-01-16 16:44 – Updated: 2026-01-16 17:21
VLAI
Title
Dask distributed Vulnerable to Remote Code Execution via Jupyter Proxy and Dashboard
Summary
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.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/dask/distributed/security/advi… | x_refsource_CONFIRM |
| https://github.com/dask/distributed/commit/ab7209… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| dask | distributed |
Affected:
< 2026.1.0
|
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CVE-2021-42343 (GCVE-0-2021-42343)
Vulnerability from cvelistv5 – Published: 2021-10-26 10:23 – Updated: 2024-08-04 03:30
VLAI
Summary
An issue was discovered in the Dask distributed package before 2021.10.0 for Python. Single machine Dask clusters started with dask.distributed.LocalCluster or dask.distributed.Client (which defaults to using LocalCluster) would mistakenly configure their respective Dask workers to listen on external interfaces (typically with a randomly selected high port) rather than only on localhost. A Dask cluster created using this method (when running on a machine that has an applicable port exposed) could be used by a sophisticated attacker to achieve remote code execution.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://docs.dask.org/en/latest/changelog.html | x_refsource_MISC |
| https://github.com/dask/dask/tags | x_refsource_MISC |
| https://github.com/dask/distributed/security/advi… | x_refsource_CONFIRM |
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