CVE Vulnerabilities

CVE-2025-30189

Improper Preservation of Consistency Between Independent Representations of Shared State

Published: Oct 31, 2025 | Modified: Oct 31, 2025
CVSS 3.x
N/A
Source:
NVD
CVSS 2.x
RedHat/V2
RedHat/V3
Ubuntu
MEDIUM

When cache is enabled, some passdb/userdb drivers incorrectly cache all users with same cache key, causing wrong cached information to be used for these users. After cached login, all subsequent logins are for same user. Install fixed version or disable caching either globally or for the impacted passdb/userdb drivers. No publicly available exploits are known.

Weakness

The product has or supports multiple distributed components or sub-systems that are each required to keep their own local copy of shared data - such as state or cache - but the product does not ensure that all local copies remain consistent with each other.

Affected Software

Name Vendor Start Version End Version
Dovecot Ubuntu devel *
Dovecot Ubuntu questing *

Extended Description

In highly distributed environments, or on systems with distinct physical components that operate independently, there is often a need for each component to store and update its own local copy of key data such as state or cache, so that all components have the same “view” of the overall system and operate in a coordinated fashion. For example, users of a social media service or a massively multiplayer online game might be using their own personal computers while also interacting with different physical hosts in a globally distributed service, but all participants must be able to have the same “view” of the world. Alternately, a processor’s Memory Management Unit (MMU) might have “shadow” MMUs to distribute its workload, and all shadow MMUs are expected to have the same accessible ranges of memory. In such environments, it becomes critical for the product to ensure that this “shared state” is consistently modified across all distributed systems. If state is not consistently maintained across all systems, then critical transactions might take place out of order, or some users might not get the same data as other users. When this inconsistency affects correctness of operations, it can introduce vulnerabilities in mechanisms that depend on consistent state.

References