CVE-2026-23492

Jan. 14, 2026, 7:16 p.m.

8.8
High

Description

Pimcore is an Open Source Data & Experience Management Platform. Prior to 12.3.1 and 11.5.14, an incomplete SQL injection patch in the Admin Search Find API allows an authenticated attacker to perform blind SQL injection. Although CVE-2023-30848 attempted to mitigate SQL injection by removing SQL comments (--) and catching syntax errors, the fix is insufficient. Attackers can still inject SQL payloads that do not rely on comments and infer database information via blind techniques. This vulnerability affects the admin interface and can lead to database information disclosure. This vulnerability is fixed in 12.3.1 and 11.5.14.

Product(s) Impacted

Vendor Product Versions
Pimcore
  • Pimcore
  • 11.5.14, 12.3.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.

*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 pimcore pimcore 11.5.14 / / / / / / /
a pimcore pimcore 12.3.1 / / / / / / /

CVSS Score

8.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Jan. 14, 2026, 7:16 p.m.
Last Modified: Jan. 14, 2026, 7:16 p.m.

Status : Received

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

More info

*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.