CVE-2025-61777

Oct. 6, 2025, 5:16 p.m.

9.4
Critical

Description

Flag Forge is a Capture The Flag (CTF) platform. Starting in version 2.0.0 and prior to version 2.3.2, the `/api/admin/badge-templates` (GET) and `/api/admin/badge-templates/create` (POST) endpoints previously allowed access without authentication or authorization. This could have enabled unauthorized users to retrieve all badge templates and sensitive metadata (createdBy, createdAt, updatedAt) and/or create arbitrary badge templates in the database. This could lead to data exposure, database pollution, or abuse of the badge system. The issue has been fixed in FlagForge v2.3.2. GET, POST, UPDATE, and DELETE endpoints now require authentication. Authorization checks ensure only admins can access and modify badge templates. No reliable workarounds are available.

Product(s) Impacted

Vendor Product Versions
Flag Forge
  • Flag Forge
  • 2.0.0-2.3.2

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 flag_forge flag_forge 2.0.0-2.3.2 / / / / / / /

CVSS Score

9.4 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: LOW
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:L

    View Vector String

Timeline

Published: Oct. 6, 2025, 5:16 p.m.
Last Modified: Oct. 6, 2025, 5:16 p.m.

Status : Received

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

More info

Source

security-advisories@github.com

*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.