CVE-2025-49064: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Webilop User Language Switch
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Webilop User Language Switch user-language-switch allows Reflected XSS.This issue affects User Language Switch: from n/a through <= 1.6.10.
AI Analysis
Technical Summary
CVE-2025-49064 is a reflected cross-site scripting vulnerability in the Webilop User Language Switch component (versions up to 1.6.10). The issue arises from improper neutralization of user input during web page generation, enabling attackers to inject and execute arbitrary scripts in the context of the victim's browser. This vulnerability can lead to partial compromise of confidentiality, integrity, and availability of the affected system or user session. The CVSS 3.1 score is 7.1, reflecting network attack vector, low attack complexity, no privileges required, user interaction required, and scope change with low impact on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation of this vulnerability allows an attacker to perform reflected XSS attacks, potentially leading to theft of user credentials, session hijacking, or execution of malicious scripts in the victim's browser. The impact includes partial loss of confidentiality, integrity, and availability as indicated by the CVSS vector. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider implementing web application firewall (WAF) rules to detect and block reflected XSS payloads targeting the User Language Switch feature. Avoid clicking on suspicious links that may trigger the vulnerability. Monitor vendor communications for patches or updates.
CVE-2025-49064: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Webilop User Language Switch
Description
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Webilop User Language Switch user-language-switch allows Reflected XSS.This issue affects User Language Switch: from n/a through <= 1.6.10.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-49064 is a reflected cross-site scripting vulnerability in the Webilop User Language Switch component (versions up to 1.6.10). The issue arises from improper neutralization of user input during web page generation, enabling attackers to inject and execute arbitrary scripts in the context of the victim's browser. This vulnerability can lead to partial compromise of confidentiality, integrity, and availability of the affected system or user session. The CVSS 3.1 score is 7.1, reflecting network attack vector, low attack complexity, no privileges required, user interaction required, and scope change with low impact on confidentiality, integrity, and availability.
Potential Impact
Successful exploitation of this vulnerability allows an attacker to perform reflected XSS attacks, potentially leading to theft of user credentials, session hijacking, or execution of malicious scripts in the victim's browser. The impact includes partial loss of confidentiality, integrity, and availability as indicated by the CVSS vector. There are no known exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should consider implementing web application firewall (WAF) rules to detect and block reflected XSS payloads targeting the User Language Switch feature. Avoid clicking on suspicious links that may trigger the vulnerability. Monitor vendor communications for patches or updates.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-05-30T14:04:42.920Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 689dbee3ad5a09ad0059e60b
Added to database: 8/14/2025, 10:48:03 AM
Last enriched: 5/1/2026, 3:12:06 PM
Last updated: 5/9/2026, 10:56:00 PM
Views: 69
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