Executive brief
ArcadeDB is a database platform used to store and query data including time-series metrics. A design flaw in the access control system fails to enforce security policies on TimeSeries data types, allowing low-privilege authenticated users to read and insert time-series samples even when explicitly denied. This bypasses the database's role-based access controls and could expose sensitive data or allow unauthorized data modification.
Technical details
ArcadeDB's ACL enforcement mechanism has a critical flaw in its authorization resolver for TimeSeries types. The vulnerability stems from ServerSecurityDatabaseUser.updateFileAccess() building permission maps indexed by file/bucket ID and calling getInvolvedTypeByBucketId() to resolve permissions. TimeSeries types do not own normal record buckets, causing this lookup to return null and the ACL entries to be silently skipped. Consequently, access control checks fail open, allowing reads and writes that should be denied. The flaw affects both explicit deny rules for specific TimeSeries types and bundled default security groups (readonly and catch-all policies). An authenticated attacker with low privileges can exploit this by performing SQL queries and inserts on restricted TimeSeries types that should be blocked. The vulnerability was confirmed patched in ArcadeDB 26.9.1.
Affected products
- ArcadeData ArcadeDB before 26.9.1
Timeline
- 2026-09-18: disclosed
- 2026-09-18: patched: Fixed in version 26.9.1