CVE-2025-68401

Dec. 18, 2025, 4:44 p.m.

6.2
Medium

Description

ChurchCRM is an open-source church management system. Prior to version 6.0.0, the application stores user-supplied HTML/JS without sufficient sanitization/encoding. When other users later view this content, attacker-controlled JavaScript executes in their browser (stored XSS). In affected contexts the script can access web origin data and perform privileged actions as the victim. Where session cookies are not marked HttpOnly, the script can read document.cookie, enabling session theft and account takeover. Version 6.0.0 patches the issue.

Product(s) Impacted

Vendor Product Versions
Churchcrm
  • Churchcrm
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-79
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users.

*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 churchcrm churchcrm / / / / / / / /

CVSS Score

6.2 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: HIGH
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:N/VA:N/SC:H/SI:H/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: Dec. 17, 2025, 10:16 p.m.
Last Modified: Dec. 18, 2025, 4:44 p.m.

Status : Analyzed

CVE has had analysis completed and all data associations made.

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.