CVE-2025-11060

Sept. 26, 2025, 2:32 p.m.

5.7
Medium

Description

A flaw was found in the live query subscription mechanism of the database engine. This vulnerability allows record or guest users to observe unauthorized records within the same table, bypassing access controls, via crafted LIVE SELECT subscriptions when other users alter or delete records.

Product(s) Impacted

Vendor Product Versions
Database Engine
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a database_engine / / / / / / / / /

References

https://access.redhat.com/security/cve/CVE-2025-11060
https://bugzilla.redhat.com/show_bug.cgi?id=2394708
https://github.com/surrealdb/surrealdb
https://github.com/surrealdb/surrealdb/commit/d81169a06b89f0c588134ddf2d62eeb8d5e8fd0c
https://github.com/surrealdb/surrealdb/pull/6247
https://github.com/surrealdb/surrealdb/security/advisories/GHSA-7vm2-j586-vcvc
https://surrealdb.com/docs/surrealql/statements/live

Tags

secalert@redhat.com
CWE-863
2025-09-26
CVE-2025-11060

CVSS Score

5.7 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE

    • CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Sept. 26, 2025, 1:15 p.m.
Last Modified: Sept. 26, 2025, 2:32 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

secalert@redhat.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.