This High severity Improper Authorization vulnerability known as CVE-2025-41249 was introduced in versions 7.19 of Confluence Data Center and Server.

This Improper Authorization vulnerability, with a CVSS Score of 7.5 and a CVSS Vector of CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N allows an unauthenticated attacker to gain unintended access and can lead to the exposure of resources or functionality, possibly providing attackers with sensitive information or even execute arbitrary code which has high impact to confidentiality, no impact to integrity, no impact to availability, and requires no user interaction.

Atlassian recommends that Confluence Data Center and Server customers upgrade to latest version, if you are unable to do so, upgrade your instance to one of the specified supported fixed versions:

• Confluence Data Center and Server 9.2: Upgrade to a release greater than or equal to 9.2.14

• Confluence Data Center and Server 10.2: Upgrade to a release greater than or equal to 10.2.3

See the release notes (https://confluence.atlassian.com/doc/confluence-release-notes-327.html). You can download the latest version of Confluence Data Center and Server from the download center (https://www.atlassian.com/software/confluence/download-archives).

The National Vulnerability Database provides the following description for this vulnerability:

The Spring Framework annotation detection mechanism may not correctly resolve annotations on methods within type hierarchies with a parameterized super type with unbounded generics. This can be an issue if such annotations are used for authorization decisions.

Your application may be affected by this if you are using Spring Security's @EnableMethodSecurity feature.

You are not affected by this if you are not using @EnableMethodSecurity or if you do not use security annotations on methods in generic superclasses or generic interfaces.

This CVE is published in conjunction with CVE-2025-41248 https://spring.io/security/cve-2025-41248 .

This vulnerability was internally discovered using an automated Software Composition Analysis scanner.