CVE-2025-39469 in Modal Survey Plugin
Summary
by MITRE • 04/18/2025
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Pantherius Modal Survey allows Reflected XSS.This issue affects Modal Survey: from n/a through 2.0.2.0.1.
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Analysis
by VulDB Data Team • 04/18/2025
This vulnerability represents a classic cross-site scripting flaw that exploits improper input handling during web page generation within the Pantherius Modal Survey application. The issue manifests as a reflected cross-site scripting vulnerability that occurs when the application fails to properly sanitize user input before incorporating it into dynamically generated web content. The vulnerability exists in versions ranging from an unspecified starting point through version 2.0.2.0.1, indicating a long-standing flaw that has persisted across multiple releases. This type of vulnerability falls under the CWE-79 category of Cross-Site Scripting, which is one of the most prevalent and dangerous web application security flaws according to the CWE database. The reflected nature of this XSS vulnerability means that malicious input is immediately reflected back to users through the web application without proper sanitization, making it particularly dangerous for exploitation.
The technical exploitation of this vulnerability occurs when an attacker crafts malicious input that gets processed by the survey application and subsequently rendered in the web page without appropriate HTML escaping or encoding. When a victim visits a specially crafted URL containing the malicious script payload, the script executes in the victim's browser context within the security scope of the vulnerable application. This allows attackers to potentially steal session cookies, perform unauthorized actions on behalf of users, redirect victims to malicious sites, or even deface the survey interface. The vulnerability's impact is amplified by the fact that it affects the core functionality of the modal survey component, which likely handles user interactions and data collection. Attackers can leverage this flaw to inject malicious JavaScript code that can harvest sensitive information, manipulate the survey experience, or establish persistent attack vectors through session hijacking techniques.
The operational impact of this vulnerability extends beyond simple data theft or display manipulation, as it fundamentally compromises the integrity and trustworthiness of the survey application. Organizations relying on Pantherius Modal Survey for collecting sensitive data may find their users' confidential information exposed to unauthorized parties, potentially leading to compliance violations under data protection regulations such as GDPR or HIPAA. The reflected XSS nature makes this vulnerability particularly challenging to defend against since it requires real-time input sanitization rather than static protection measures. Security teams must consider that this vulnerability could enable attackers to modify survey content, inject false data collection prompts, or even redirect users to phishing sites that appear legitimate within the survey environment. The vulnerability also represents a significant risk to user trust and application reputation, as any successful exploitation could damage the organization's credibility and potentially result in legal consequences.
Mitigation strategies for this vulnerability must focus on implementing robust input validation and output encoding mechanisms throughout the application's data processing pipeline. The most effective approach involves implementing proper HTML escaping and encoding of all user-supplied input before rendering it in web pages, which directly addresses the CWE-79 remediation principles. Organizations should deploy Content Security Policy headers to limit script execution and prevent unauthorized code injection, while also implementing proper input sanitization routines that filter out potentially malicious characters and patterns. Regular security testing including automated vulnerability scanning and manual penetration testing should be conducted to identify similar input handling flaws. Additionally, developers should adopt secure coding practices that enforce strict input validation at multiple layers of the application architecture, including client-side and server-side validation. The implementation of web application firewalls and runtime application self-protection technologies can provide additional defense-in-depth measures, though these should complement rather than replace proper code-level fixes. Regular updates and patch management processes must be established to ensure that all instances of the vulnerable software are promptly updated to versions that address this specific XSS vulnerability.