CVE-2026-33135
March 20, 2026, 7:25 p.m.
9.3
Critical
Description
WeGIA is a web manager for charitable institutions. Versions 3.6.6 and below have a Reflected Cross-Site Scripting (XSS) vulnerability in the novo_memorandoo.php endpoint. An attacker can inject arbitrary JavaScript into the sccs GET parameter, which is directly echoed into the HTML response without any sanitization or encoding. The script /html/memorando/novo_memorandoo.php reads HTTP GET parameters to display dynamic success messages to the user. At approximately line 273, the code checks if $_GET['msg'] equals 'success'. If true, it directly concatenates $_GET['sccs'] into an HTML alert <div> and outputs it to the browser. This issue has been fixed in version 3.6.7.
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: HIGH
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N
Timeline
Published: March 20, 2026, 11:18 a.m.
Last Modified: March 20, 2026, 7:25 p.m.
Last Modified: March 20, 2026, 7:25 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
*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.