CVE-2026-1497

March 12, 2026, 9:08 p.m.

2.0
Low

Description

Incorrect resolving of namespaces in composite databases in Neo4j Enterprise edition prior to versions 2026.02 and 5.26.22 can lead to the following scenario:  an admin that intends to give a user an access to a remote database constituent "namespace.name" will inadvertently grant access to any local database or remote alias called "name". If such database or alias doesn't exist when the command is run, the privileges will apply if it's created in the future.

Product(s) Impacted

Vendor Product Versions
Neo4j
  • Neo4j Enterprise
  • <2026.02, <5.26.22

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 neo4j neo4j_enterprise <2026.02 / / / / / / /
a neo4j neo4j_enterprise <5.26.22 / / / / / / /

CVSS Score

2.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: LOW
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:A/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:N/R:U/V:D/RE:M/U:Green

    View Vector String

Timeline

Published: March 11, 2026, 4:16 p.m.
Last Modified: March 12, 2026, 9:08 p.m.

Status : Awaiting Analysis

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

More info

Source

3b236295-4ccd-4a1f-a1c1-a72eecc8d7b6

*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.