CVE-2026-33755

March 27, 2026, 3:16 p.m.

8.8
High

Description

Group-Office is an enterprise customer relationship management and groupware tool. Prior to versions 6.8.158, 25.0.92, and 26.0.17, an authenticated SQL Injection vulnerability in the JMAP `Contact/query` endpoint allows any authenticated user with basic addressbook access to extract arbitrary data from the database — including active session tokens of other users. This enables full account takeover of any user, including the System Administrator, without knowing their password. Versions 6.8.158, 25.0.92, and 26.0.17 fix the issue.

Product(s) Impacted

Vendor Product Versions
Group-office
  • Group-office
  • <6.8.158, <25.0.92, <26.0.17

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 group-office group-office <6.8.158 / / / / / / /
a group-office group-office <25.0.92 / / / / / / /
a group-office group-office <26.0.17 / / / / / / /

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: March 27, 2026, 3:16 p.m.
Last Modified: March 27, 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

*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.