PostgreSQL
CVE-2026-25574
MEDIUM
GHSA-jq29-r496-r955
Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N
Lifecycle Timeline
3Blast Radius
ecosystem impact- 3 npm packages depend on payload (3 direct, 0 indirect)
Ecosystem-wide dependent count for version 3.74.0.
DescriptionGitHub Advisory
Payload is a free and open source headless content management system. Prior to 3.74.0, a cross-collection Insecure Direct Object Reference (IDOR) vulnerability exists in the payload-preferences internal collection. In multi-auth collection environments using Postgres or SQLite with default serial/auto-increment IDs, authenticated users from one auth collection can read and delete preferences belonging to users in different auth collections when their numeric IDs collide. This vulnerability has been patched in v3.74.0.
AnalysisAI
Cross-collection IDOR in Payload CMS before v3.74.0 allows authenticated users to read and delete preferences from other authentication collections when numeric user IDs overlap in PostgreSQL or SQLite deployments. This vulnerability affects multi-auth environments where default auto-increment IDs create collisions across separate user collections. An attacker with valid credentials in one authentication domain can access and manipulate sensitive preference data belonging to users in different authentication domains.
Technical ContextAI
This vulnerability (CWE-639: Authorization Bypass Through User-Controlled Key) affects Payload. Payload is a free and open source headless content management system. Prior to 3.74.0, a cross-collection Insecure Direct Object Reference (IDOR) vulnerability exists in the payload-preferences internal collection. In multi-auth collection environments using Postgres or SQLite with default serial/auto-increment IDs, authenticated users from one auth collection can read and delete preferences belonging to users in different auth collections when their numeric IDs collide. This vulnerability has b
RemediationAI
Monitor vendor advisories for a patch. Restrict network access to the affected service where possible.
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