CVE-2025-12738

Jan. 22, 2026, 3:16 p.m.

1.3
Low

Description

Neo4j Enterprise edition versions prior to 2025.11.2 and 5.26.17 are vulnerable to a potential information disclosure by an attacker who has some legitimate access to the database. The vulnerability allows attacker without read access to a property to infer information about its value by trying to enumerate all possible values through observing error messages of SET property. We recommend upgrading to 2025.11.2 or 5.26.17 and above, where the issues is fixed.

Product(s) Impacted

Vendor Product Versions
Neo4j
  • Neo4j Enterprise
  • *, <2025.11.2, <5.26.17

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.

*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 / / / / / / / /
a neo4j neo4j_enterprise <2025.11.2 / / / / / /
a neo4j neo4j_enterprise <5.26.17 / / / / / /

CVSS Score

1.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/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:X/R:X/V:D/RE:X/U:X

    View Vector String

Timeline

Published: Jan. 22, 2026, 3:16 p.m.
Last Modified: Jan. 22, 2026, 3:16 p.m.

Status : Received

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.