CVE-2026-33398

June 2, 2026, 5:16 p.m.

7.1
High

Description

NamelessMC is website software for Minecraft servers. In version 2.2.4, `modules/Forum/pages/forum/get_quotes.php` only checks whether the caller is logged in, then reads a post by attacker-controlled `post` ID and returns its content. The backend helper in `modules/Forum/classes/Forum.php` does not enforce forum or topic ACLs. In contrast, the normal topic page in `modules/Forum/pages/forum/view_topic.php` enforces forum visibility and `view_other_topics`. Any low-privileged authenticated user can enumerate post IDs and read content from hidden, private, or staff-only forums. Version 2.2.5 fixes the issue.

Product(s) Impacted

Vendor Product Versions
Namelessmc
  • Namelessmc
  • 2.2.4, 2.2.5

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-285
Improper Authorization
The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action.

*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 namelessmc namelessmc 2.2.4 / / / / / / /
a namelessmc namelessmc 2.2.5 / / / / / / /

CVSS Score

7.1 / 10

CVSS Data - 4.0

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

    View Vector String

Timeline

Published: June 2, 2026, 4:16 p.m.
Last Modified: June 2, 2026, 5:16 p.m.

Status : Deferred

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.