Executive Summary

CVE-2025-10372 is a cross-site scripting (XSS) vulnerability in Portabilis i-Educar up to version 2.10, specifically in the /intranet/educar_modulo_cad.php file. It occurs because the application does not properly validate or sanitize user inputs in the nm_tipo and descricao parameters. Attackers can inject malicious scripts into these parameters, which are then stored on the server and executed when users access affected pages, potentially leading to unauthorized script execution in users' browsers. [1, 2]

Useful 0 Not Useful 0

Impact Analysis

This vulnerability can lead to several impacts including theft of session cookies resulting in session hijacking, distribution of malware, browser hijacking, theft of user credentials, unauthorized access to sensitive information, website defacement, user misdirection, and damage to the business's reputation. [1]

Useful 0 Not Useful 0

Detection Guidance

This vulnerability can be detected by checking for the presence of the vulnerable endpoint /intranet/educar_modulo_cad.php and testing the parameters nm_tipo and descricao for improper input sanitization. One method is to use Google dorking with the query `inurl:intranet/educar_modulo_cad.php` to identify potentially vulnerable targets. Additionally, manual testing can be performed by injecting a payload such as `"><img src=x onerror=alert('CVE-Hunters')>` into the nm_tipo and descricao fields on the vulnerable page and observing if the script executes on the trigger page /intranet/educar_modulo_lst.php. Network scanning tools or web vulnerability scanners can be configured to target these endpoints and parameters for XSS detection. [1, 2]

Useful 0 Not Useful 0

Mitigation Strategies

Immediate mitigation steps include avoiding the use of the vulnerable Portabilis i-Educar versions up to 2.10 or replacing the affected component with an alternative product, as no known mitigations or countermeasures have been documented. Additionally, restricting access to the vulnerable endpoints, applying web application firewalls (WAF) rules to block malicious input patterns targeting nm_tipo and descricao parameters, and educating users to avoid interacting with suspicious inputs can help reduce risk until a patch or fix is available. [2]

Useful 0 Not Useful 0