First published: Mon Feb 24 2025(Updated: )
Metabase Enterprise Edition is the enterprise version of Metabase business intelligence and data analytics software. Starting in version 1.47.0 and prior to versions 1.50.36, 1.51.14, 1.52.11, and 1.53.2 of Metabase Enterprise Edition, users with impersonation permissions may be able to see results of cached questions, even if their permissions don’t allow them to see the data. If some user runs a question which gets cached, and then an impersonated user runs that question, then the impersonated user sees the same results as the previous user. These cached results may include data the impersonated user should not have access to. This vulnerability only impacts the Enterprise Edition of Metabase and not the Open Source Edition. Versions 1.53.2, 1.52.11, 1.51.14, and 1.50.36 contains a patch. Versions on the 1.49.X, 1.48.X, and 1.47.X branches are vulnerable but do not have a patch available, so users should upgrade to a major version with an available fix. Disabling question caching is a workaround for this issue.
Credit: security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Metabase | >=1.47.0<1.50.36 | |
Metabase | >=1.51.0<1.51.14 | |
Metabase | >=1.52.0<1.52.11 | |
Metabase | >=1.53.0<1.53.2 | |
Metabase | >1.47.0<1.50.36>=1.51.14<1.53.2 |
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
CVE-2025-27141 is classified as a high severity vulnerability due to its potential impact on user data and access controls.
To mitigate CVE-2025-27141, upgrade Metabase Enterprise Edition to version 1.50.36, 1.51.14, 1.52.11, or 1.53.2 or later.
Users of Metabase Enterprise Edition versions 1.47.0 through 1.50.36, and specific versions between 1.51.0 and 1.53.2 are affected by CVE-2025-27141.
CVE-2025-27141 is an impersonation vulnerability that allows users with impersonation permissions to potentially exploit the system.
CVE-2025-27141 may allow attackers with certain permissions to impersonate other users and gain unauthorized access to sensitive data.