CVE-2026-93594: Incorrect Authorization in ArcadeData arcadedb
ArcadeDB (Maven artifact com.arcadedb:arcadedb-engine) through 26.8.1 enforces its per-type/per-record access-control rules only in LocalBucket, keyed on file id. Query-execution paths that reach record data through LSM index files or the TimeSeries engine never invoke that permission check, so an authenticated user who is denied readRecord/deleteRecord on a type can still, with a single ordinary SQL statement, read the type's indexed key values and record IDs (e.g. SELECT key, rid FROM INDEX:Type[field]), read MAX/MIN values via the index shortcut, read and count TimeSeries samples, learn the type's record count, and delete index entries (DELETE FROM INDEX:Type[field]), which desynchronizes the index from the data and can defeat unique constraints. Index and type names needed for exploitation are discoverable because SELECT FROM schema:indexes is unfiltered. The issue affects both embedded and server deployments and all transports (HTTP, Bolt, Postgres, Gremlin) once a principal is bound. Fixed in 26.9.1.
AI Analysis
Technical Summary
ArcadeDB (artifact com.arcadedb:arcadedb-engine) through version 26.8.1 enforces per-type and per-record access control only in the LocalBucket keyed on file id. However, query execution paths that access record data through LSM index files or the TimeSeries engine do not invoke these permission checks. Consequently, an authenticated user who lacks readRecord or deleteRecord permissions on a type can still execute SQL statements to read indexed key values and record IDs, retrieve MAX/MIN values via index shortcuts, read and count TimeSeries samples, learn the record count of a type, and delete index entries. Deleting index entries can desynchronize the index from the underlying data and potentially defeat unique constraints. Index and type names required for exploitation are discoverable because the query SELECT FROM schema:indexes is unfiltered. This vulnerability affects both embedded and server deployments and all transport protocols (HTTP, Bolt, Postgres, Gremlin) once a principal is bound. The issue is resolved in version 26.9.1.
Potential Impact
An authenticated user with limited permissions can bypass intended access controls to read sensitive indexed data and metadata, and delete index entries. This can lead to unauthorized data disclosure and data integrity issues, including desynchronization of indexes and potential violation of unique constraints. The vulnerability affects all deployment types and transport protocols once authentication occurs.
Mitigation Recommendations
Upgrade to ArcadeDB version 26.9.1 or later, where this authorization bypass vulnerability is fixed. No other mitigations are indicated by the vendor advisory. Patch status is confirmed fixed in 26.9.1.
CVE-2026-93594: Incorrect Authorization in ArcadeData arcadedb
Description
ArcadeDB (Maven artifact com.arcadedb:arcadedb-engine) through 26.8.1 enforces its per-type/per-record access-control rules only in LocalBucket, keyed on file id. Query-execution paths that reach record data through LSM index files or the TimeSeries engine never invoke that permission check, so an authenticated user who is denied readRecord/deleteRecord on a type can still, with a single ordinary SQL statement, read the type's indexed key values and record IDs (e.g. SELECT key, rid FROM INDEX:Type[field]), read MAX/MIN values via the index shortcut, read and count TimeSeries samples, learn the type's record count, and delete index entries (DELETE FROM INDEX:Type[field]), which desynchronizes the index from the data and can defeat unique constraints. Index and type names needed for exploitation are discoverable because SELECT FROM schema:indexes is unfiltered. The issue affects both embedded and server deployments and all transports (HTTP, Bolt, Postgres, Gremlin) once a principal is bound. Fixed in 26.9.1.
CVSS v4.0
Score 7.1high
Affected software
ArcadeData
arcadedb
pkg:github/arcadedata/arcadedbRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
ArcadeDB (artifact com.arcadedb:arcadedb-engine) through version 26.8.1 enforces per-type and per-record access control only in the LocalBucket keyed on file id. However, query execution paths that access record data through LSM index files or the TimeSeries engine do not invoke these permission checks. Consequently, an authenticated user who lacks readRecord or deleteRecord permissions on a type can still execute SQL statements to read indexed key values and record IDs, retrieve MAX/MIN values via index shortcuts, read and count TimeSeries samples, learn the record count of a type, and delete index entries. Deleting index entries can desynchronize the index from the underlying data and potentially defeat unique constraints. Index and type names required for exploitation are discoverable because the query SELECT FROM schema:indexes is unfiltered. This vulnerability affects both embedded and server deployments and all transport protocols (HTTP, Bolt, Postgres, Gremlin) once a principal is bound. The issue is resolved in version 26.9.1.
Potential Impact
An authenticated user with limited permissions can bypass intended access controls to read sensitive indexed data and metadata, and delete index entries. This can lead to unauthorized data disclosure and data integrity issues, including desynchronization of indexes and potential violation of unique constraints. The vulnerability affects all deployment types and transport protocols once authentication occurs.
Mitigation Recommendations
Upgrade to ArcadeDB version 26.9.1 or later, where this authorization bypass vulnerability is fixed. No other mitigations are indicated by the vendor advisory. Patch status is confirmed fixed in 26.9.1.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-18T10:59:45.138Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aad3d5b55bf5e2cf51004f0
Added to database: 09/18/2026, 13:32:11 UTC
Last enriched: 09/18/2026, 13:47:48 UTC
Last updated: 09/18/2026, 17:42:45 UTC
Views: 9
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