CVE-2025-1132

Feb. 25, 2025, 9:48 p.m.

8.8
High

Description

A time-based blind SQL Injection vulnerability exists in the ChurchCRM 5.13.0 and prior EditEventAttendees.php within the EN_tyid parameter. The parameter is directly inserted into an SQL query without proper sanitization, allowing attackers to inject malicious SQL commands. Please note that the vulnerability requires Administrator permissions. This flaw can potentially allow attackers to delay the response, indicating the presence of an SQL injection vulnerability. While it is a time-based blind injection, it can be exploited to gain insights into the underlying database, and with further exploitation, sensitive data could be retrieved.

Product(s) Impacted

Vendor Product Versions
Churchcrm
  • Churchcrm
  • *

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 churchcrm churchcrm / / / / / / / /

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: Feb. 19, 2025, 9:15 a.m.
Last Modified: Feb. 25, 2025, 9:48 p.m.

Status : Analyzed

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

More info

Source

b7efe717-a805-47cf-8e9a-921fca0ce0ce

*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.