CVE-2025-23788: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Roni Saha Easy Filter
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Roni Saha Easy Filter easy-filter allows Reflected XSS.This issue affects Easy Filter: from n/a through <= 1.10.
AI Analysis
Technical Summary
CVE-2025-23788 identifies a reflected Cross-site Scripting (XSS) vulnerability in the Easy Filter web application developed by Roni Saha, affecting all versions up to 1.10. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, allowing malicious scripts to be reflected back to users without adequate sanitization or encoding. This flaw enables attackers to craft malicious URLs that, when visited by unsuspecting users, execute arbitrary JavaScript in their browsers. Such execution can lead to theft of session cookies, user credentials, or the ability to perform unauthorized actions within the context of the victim’s session. The vulnerability does not require prior authentication, increasing its attack surface, and does not depend on user interaction beyond clicking a malicious link. Although no public exploits have been reported yet, the nature of reflected XSS vulnerabilities makes them relatively easy to exploit. The absence of a CVSS score suggests that the vulnerability is newly disclosed and awaiting further assessment. The vulnerability affects the Easy Filter product, which is used for web filtering and content management, potentially exposing organizations relying on this software to targeted attacks. The lack of official patches at the time of disclosure necessitates immediate interim mitigations to reduce risk.
Potential Impact
The primary impact of CVE-2025-23788 is on the confidentiality and integrity of user sessions and data. Successful exploitation can lead to session hijacking, enabling attackers to impersonate legitimate users and access sensitive information or perform unauthorized actions. This can compromise user accounts, leak private data, and potentially allow attackers to pivot within affected networks. The reflected XSS nature means that attacks typically require social engineering to lure victims into clicking malicious links, but no authentication is needed, broadening the potential victim pool. Organizations using Easy Filter in environments with sensitive data or critical operations face increased risk of data breaches and reputational damage. Additionally, attackers could use this vulnerability as a stepping stone for more complex attacks, including malware distribution or persistent cross-site scripting if combined with other vulnerabilities. The absence of known exploits currently limits immediate widespread impact, but the vulnerability’s characteristics make it a high-risk issue once weaponized.
Mitigation Recommendations
Until an official patch is released, organizations should implement strict input validation and output encoding on all user-supplied data within Easy Filter to prevent script injection. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in browsers. Educate users to be cautious about clicking unsolicited or suspicious links, especially those that appear to originate from Easy Filter interfaces. Monitor web server logs for unusual URL patterns that may indicate attempted exploitation. Consider deploying web application firewalls (WAFs) with rules designed to detect and block reflected XSS payloads targeting Easy Filter endpoints. Once patches become available, prioritize immediate deployment to affected systems. Additionally, conduct security reviews of any custom integrations or plugins that interact with Easy Filter to ensure they do not introduce similar vulnerabilities.
Affected Countries
United States, India, United Kingdom, Germany, Canada, Australia, France, Netherlands, Brazil, Japan
CVE-2025-23788: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') in Roni Saha Easy Filter
Description
Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting') vulnerability in Roni Saha Easy Filter easy-filter allows Reflected XSS.This issue affects Easy Filter: from n/a through <= 1.10.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-23788 identifies a reflected Cross-site Scripting (XSS) vulnerability in the Easy Filter web application developed by Roni Saha, affecting all versions up to 1.10. The vulnerability stems from improper neutralization of user-supplied input during the generation of web pages, allowing malicious scripts to be reflected back to users without adequate sanitization or encoding. This flaw enables attackers to craft malicious URLs that, when visited by unsuspecting users, execute arbitrary JavaScript in their browsers. Such execution can lead to theft of session cookies, user credentials, or the ability to perform unauthorized actions within the context of the victim’s session. The vulnerability does not require prior authentication, increasing its attack surface, and does not depend on user interaction beyond clicking a malicious link. Although no public exploits have been reported yet, the nature of reflected XSS vulnerabilities makes them relatively easy to exploit. The absence of a CVSS score suggests that the vulnerability is newly disclosed and awaiting further assessment. The vulnerability affects the Easy Filter product, which is used for web filtering and content management, potentially exposing organizations relying on this software to targeted attacks. The lack of official patches at the time of disclosure necessitates immediate interim mitigations to reduce risk.
Potential Impact
The primary impact of CVE-2025-23788 is on the confidentiality and integrity of user sessions and data. Successful exploitation can lead to session hijacking, enabling attackers to impersonate legitimate users and access sensitive information or perform unauthorized actions. This can compromise user accounts, leak private data, and potentially allow attackers to pivot within affected networks. The reflected XSS nature means that attacks typically require social engineering to lure victims into clicking malicious links, but no authentication is needed, broadening the potential victim pool. Organizations using Easy Filter in environments with sensitive data or critical operations face increased risk of data breaches and reputational damage. Additionally, attackers could use this vulnerability as a stepping stone for more complex attacks, including malware distribution or persistent cross-site scripting if combined with other vulnerabilities. The absence of known exploits currently limits immediate widespread impact, but the vulnerability’s characteristics make it a high-risk issue once weaponized.
Mitigation Recommendations
Until an official patch is released, organizations should implement strict input validation and output encoding on all user-supplied data within Easy Filter to prevent script injection. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in browsers. Educate users to be cautious about clicking unsolicited or suspicious links, especially those that appear to originate from Easy Filter interfaces. Monitor web server logs for unusual URL patterns that may indicate attempted exploitation. Consider deploying web application firewalls (WAFs) with rules designed to detect and block reflected XSS payloads targeting Easy Filter endpoints. Once patches become available, prioritize immediate deployment to affected systems. Additionally, conduct security reviews of any custom integrations or plugins that interact with Easy Filter to ensure they do not introduce similar vulnerabilities.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-01-16T11:30:13.734Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 69cd7236e6bfc5ba1dee8719
Added to database: 4/1/2026, 7:29:58 PM
Last enriched: 4/1/2026, 8:07:26 PM
Last updated: 4/6/2026, 11:01:07 AM
Views: 1
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