CVE-2025-11950: Eduasist Reflected XSS Vulnerability

CVE-2025-11950 Overview

CVE-2025-11950 is a Reflected Cross-Site Scripting (XSS) vulnerability affecting the EduAsist application developed by KNOWHY Advanced Technology Trading Ltd. Co. This vulnerability arises from improper neutralization of user-supplied input during web page generation, allowing attackers to inject malicious scripts that execute in the context of a victim's browser session.

The vulnerability enables attackers to craft malicious URLs containing JavaScript payloads that, when clicked by unsuspecting users, execute within the trusted context of the EduAsist application. This can lead to session hijacking, credential theft, and unauthorized actions performed on behalf of the victim.

Critical Impact
Attackers can steal user session cookies, redirect users to malicious sites, deface web content, or perform actions on behalf of authenticated users within the EduAsist educational platform.

Affected Products

EduAsist through version 27022026
KNOWHY Advanced Technology Trading Ltd. Co. EduAsist educational platform

Discovery Timeline

2026-02-27 - CVE-2025-11950 published to NVD
2026-02-28 - Last updated in NVD database

Technical Details for CVE-2025-11950

Vulnerability Analysis

This Reflected XSS vulnerability occurs when the EduAsist application fails to properly sanitize user-controllable input before incorporating it into dynamically generated web pages. When a user interacts with a crafted malicious link, the unsanitized input is reflected back in the HTTP response and rendered as executable script code in the victim's browser.

The attack requires user interaction—specifically, a victim must click on a malicious link or visit a compromised page that redirects to the vulnerable endpoint. Because the malicious payload is not stored on the server but rather reflected from the request, this classification falls under Reflected XSS (CWE-79).

The vulnerability affects the confidentiality and integrity of user sessions without impacting system availability. Successful exploitation allows attackers to access sensitive information displayed to the user, modify page content, or perform actions with the victim's privileges within the EduAsist educational platform.

Root Cause

The root cause of CVE-2025-11950 is insufficient input validation and output encoding within the EduAsist application. User-supplied data is not properly neutralized before being included in HTTP responses, allowing HTML and JavaScript code to be interpreted by the browser rather than treated as plain text data.

Proper remediation requires implementing context-aware output encoding when rendering user input in HTML contexts, as well as validating and sanitizing input at the point of entry to reject potentially malicious payloads.

Attack Vector

The attack vector is network-based, requiring no authentication or special privileges. An attacker crafts a URL containing malicious JavaScript payload and distributes it through phishing emails, social engineering, or by embedding it in third-party websites. When a victim clicks the link, their browser makes a request to the vulnerable EduAsist endpoint, which reflects the malicious script in its response.

The reflected payload then executes within the victim's browser session, potentially allowing the attacker to steal session tokens stored in cookies, capture keystrokes, modify displayed content, or redirect the user to attacker-controlled infrastructure. The attack is particularly effective against authenticated users, as the malicious script inherits their session privileges.

Detection Methods for CVE-2025-11950

Indicators of Compromise

Unusual URL patterns containing encoded JavaScript payloads targeting EduAsist endpoints
Web server logs showing requests with script tags, event handlers, or JavaScript URIs in query parameters
Browser security warnings or Content Security Policy violation reports from EduAsist users
Reports of unexpected redirects or popup behaviors when accessing EduAsist links

Detection Strategies

Configure Web Application Firewalls (WAF) to detect and block common XSS payload patterns in HTTP requests
Enable browser-side protections such as Content Security Policy (CSP) headers with strict script-src directives
Implement logging and alerting for requests containing suspicious characters such as <script>, javascript:, or encoded variants
Deploy endpoint detection solutions to identify malicious script execution in browser contexts

Monitoring Recommendations

Review web server access logs for requests containing HTML special characters or JavaScript keywords
Monitor for anomalous user session activity that may indicate session hijacking post-exploitation
Configure SIEM rules to correlate multiple XSS-related indicators across affected EduAsist deployments
Track user reports of phishing attempts or suspicious links purporting to be EduAsist URLs

How to Mitigate CVE-2025-11950

Immediate Actions Required

Implement input validation to reject requests containing potentially dangerous characters or payloads
Apply context-aware output encoding (HTML entity encoding) for all user-controllable data rendered in web pages
Deploy Content Security Policy (CSP) headers with strict script-src directives to prevent inline script execution
Educate users about the risks of clicking links from untrusted sources

Patch Information

The vendor, KNOWHY Advanced Technology Trading Ltd. Co., was contacted regarding this vulnerability but did not respond. No official patch is currently available. Organizations using EduAsist should contact the vendor directly for remediation guidance and monitor the USOM Security Advisory TR-26-0086 for updates.

Until a patch is released, organizations should implement compensating controls such as WAF rules and CSP headers to reduce exposure.

Workarounds

Deploy a Web Application Firewall (WAF) with XSS filtering rules in front of the EduAsist application
Implement Content Security Policy headers to restrict script execution sources and block inline scripts
Restrict access to the EduAsist application to trusted networks or implement additional authentication layers
Consider disabling or isolating the affected application until vendor remediation is available