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🛡️ CVE-2025-11060 — surrealdb

🟡 CVSS 5.7 — Medium ✅ No Known Exploit CWE-863 NVD
5.7
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

SurrealDB is Vulnerable to Unauthorized Data Exposure via LIVE Query Subscriptions

LIVE SELECT statements are used to capture changes to data within a table in real time. Documents included in WHERE conditions and DELETE notifications were not properly reduced to respect the querying user's security context. Instead the leaked documents reflect the context of the user triggering the notification.

This allows a record or guest user with permissions to run live query subscriptions on a table to observe unauthorised records within the same table, when another user is altering or deleting these records, bypassing access controls.

Impact

A record or guest user with permissions to run live query subscriptions on a table is able to observe unauthorised records within the same table, with unauthorised records returned when deleted, or when records matching the WHERE conditions are created, updated, or deleted, by another user. This impacts confidentiality, limited to the table the attacker has access to, and with the data disclosed dependent of the actions taken by other users.

Patches

A patch has been created for the following versions:

  • Versions 2.1.9, 2.2.8 and 2.3.8 and later are not affected by this issue.
  • The first release following v3.0.0-alpha.7 will be patched.

Workarounds

Assess the impact of users with permissions on table records effectively having full read access to the table, use separate tables if required, with impacts to functionality.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs low-level privileges on the target. A user must be tricked into taking some action. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity none, availability none.

CVSS metrics in full

The score comes from this vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N

  • Attack vector: Network — reachable from anywhere that can route to the service.
  • Attack complexity: Low — the attack works reliably, with no preparation.
  • Privileges required: Low — an ordinary user account is enough.
  • User interaction: Required — someone has to click, open or visit something.
  • Scope: Unchanged — the damage stays inside the vulnerable component.
  • Confidentiality impact: High — total loss, or loss the attacker controls.
  • Integrity impact: None.
  • Availability impact: None.

Weakness class

CVE-2025-11060 is classified as CWE-863: Incorrect Authorization. An authorisation check runs but reaches the wrong conclusion, permitting actions it should refuse.

Affected software

CVE-2025-11060 is recorded against 2 packages.

  • surrealdb
  • unknown

Timeline and source

Published on 11 September 2025 and last revised on 26 September 2025. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

github.com (Web)
nvd.nist.gov (Advisory)
github.com (Web)
github.com (Web)
access.redhat.com (Web)
bugzilla.redhat.com (Web)
github.com (Package)
surrealdb.com (Web)

Other advisories for this package

surrealdb has other advisories on record. If you are patching this one, these are worth checking on the same host:

Same weakness in other software

These advisories are the same class of weakness (CWE-863: Incorrect Authorization) in other software:

Details

Severity Medium
CVSS Score 5.7
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N
CWE CWE-863
Public Exploit ✅ No
Source NVD
Published 2025-09-11
Updated 2026-08-20
Modified 2025-09-26
Fix URL N/A

Affected Packages

Software From version Fixed in
surrealdb
unknown

Similar Threats

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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