CVE-2025-23034
Feb. 13, 2025, 7:03 p.m.
6.1
Medium
Description
WeGIA is an open source web manager with a focus on the Portuguese language and charitable institutions. A Reflected Cross-Site Scripting (XSS) vulnerability was identified in the `tags.php` endpoint of the WeGIA application. This vulnerability allows attackers to inject malicious scripts in the `msg_e` parameter. The application fails to validate and sanitize user inputs in the `msg_e` parameter. This lack of validation permits the injection of malicious payloads, which are reflected back to the user's browser in the server's response and executed within the context of the victim's browser. This issue has been addressed in version 3.2.6. All users are advised to upgrade. There are no known workarounds for this vulnerability.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Wegia |
|
|
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 | wegia | wegia | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: CHANGED
- Confidentiality Impact: LOW
- Integrity Impact: LOW
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Timeline
Published: Jan. 14, 2025, 1:15 a.m.
Last Modified: Feb. 13, 2025, 7:03 p.m.
Last Modified: Feb. 13, 2025, 7:03 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
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.