Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2025-12267

CVE-2025-12267: ModernShop XSS Vulnerability

CVE-2025-12267 is a cross-site scripting flaw in abhicodebox ModernShop that allows remote attackers to inject malicious scripts via the search parameter. This post covers technical details, affected versions, and mitigation.

Published:

CVE-2025-12267 Overview

CVE-2025-12267 is a reflected cross-site scripting (XSS) vulnerability [CWE-79] affecting abhicodebox ModernShop version 20250922. The flaw resides in the /search endpoint, where the application fails to sanitize the q query parameter before reflecting it into the response. A remote attacker can craft a malicious URL that executes arbitrary JavaScript in the browser of any user who clicks the link. The exploit has been publicly disclosed, increasing the likelihood of opportunistic abuse against exposed ModernShop deployments.

Critical Impact

Successful exploitation enables session hijacking, credential theft, and unauthorized actions in the context of the victim's authenticated ModernShop session.

Affected Products

  • abhicodebox ModernShop version 20250922
  • ModernShop PHP eCommerce Platform (Codester distribution)
  • Deployments exposing the /search endpoint to untrusted users

Discovery Timeline

  • 2025-10-27 - CVE-2025-12267 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-12267

Vulnerability Analysis

The vulnerability is a reflected cross-site scripting flaw in the ModernShop search functionality. When a user submits a search query, the q parameter passed to /search is embedded directly into the returned HTML without proper output encoding or contextual escaping. Attackers exploit this by injecting HTML or JavaScript payloads into the q argument, which the browser then parses and executes.

Because the flaw is reflected rather than stored, exploitation requires user interaction, typically through a crafted phishing link. The attack vector is network-based and requires no authentication. According to the reference data, a public proof of concept exists, so defenders should treat exploitation as trivial for anyone familiar with basic XSS techniques.

Root Cause

The root cause is missing input sanitization and output encoding for the q search parameter. ModernShop trusts user-supplied query string data and inserts it into the HTML response context without applying HTML entity encoding or a content security policy that would neutralize inline script execution.

Attack Vector

An attacker crafts a URL of the form https://<target>/search?q=<payload> containing JavaScript delivered through HTML tags, event handlers, or script blocks. The attacker distributes the link through email, chat, social media, or a compromised referrer. When the victim visits the link, the payload executes in the origin of the ModernShop site, granting the attacker access to cookies, session storage, and DOM contents scoped to that origin.

No authenticated code example is available. Refer to the VulDB entry #329939 and the Codester ModernShop listing for technical details published by the reporter.

Detection Methods for CVE-2025-12267

Indicators of Compromise

  • Web server access logs containing requests to /search with q parameter values that include <script>, onerror=, onload=, javascript:, or URL-encoded equivalents such as %3Cscript%3E.
  • Referrer headers from external domains preceding suspicious /search requests, indicating phishing delivery.
  • Browser console errors or unexpected outbound requests from clients viewing search result pages.

Detection Strategies

  • Deploy a web application firewall (WAF) rule that inspects the q parameter on /search for common XSS signatures and encoded variants.
  • Instrument client-side monitoring or Content Security Policy (CSP) violation reporting to capture script executions originating from reflected input.
  • Correlate outbound requests from user endpoints to attacker-controlled domains with prior visits to /search URLs containing anomalous query strings.

Monitoring Recommendations

  • Baseline normal /search query patterns and alert on requests exceeding length thresholds or containing HTML metacharacters.
  • Review authentication and session events for anomalies immediately following user visits to crafted /search URLs.
  • Monitor threat intelligence feeds for public proof-of-concept payloads targeting ModernShop.

How to Mitigate CVE-2025-12267

Immediate Actions Required

  • Restrict access to the ModernShop /search endpoint or place it behind a WAF that blocks XSS payloads in the q parameter.
  • Enforce a strict Content Security Policy that disallows inline scripts and unauthorized script sources to neutralize reflected payloads.
  • Notify users to avoid clicking untrusted links pointing to the ModernShop instance until a fix is applied.

Patch Information

No vendor patch or fixed version has been published in the referenced advisories at the time of writing. Administrators should track the VulDB advisory and the Codester product page for vendor updates and apply fixes as soon as they are released.

Workarounds

  • Apply server-side HTML entity encoding to the q parameter before rendering it into any response template.
  • Implement input validation that rejects non-alphanumeric characters in search queries where business logic permits.
  • Set HttpOnly and Secure flags on session cookies to limit the impact of any successful script execution.
  • Add a CSP header such as Content-Security-Policy: default-src 'self'; script-src 'self' to block inline execution of injected payloads.
bash
# Example nginx configuration hardening for the ModernShop /search endpoint
location /search {
    # Reject requests where q contains HTML metacharacters
    if ($arg_q ~* "(<|>|script|onerror|onload|javascript:)") {
        return 403;
    }
    add_header Content-Security-Policy "default-src 'self'; script-src 'self'; object-src 'none'" always;
    add_header X-XSS-Protection "1; mode=block" always;
    add_header X-Content-Type-Options "nosniff" always;
    proxy_pass http://modernshop_backend;
}

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.