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CVE Vulnerability Database

CVE-2025-9035: Virtual Library Platform XSS Vulnerability

CVE-2025-9035 is a reflected cross-site scripting flaw in Virtual Library Platform by Horato Internet Technologies that allows attackers to inject malicious scripts. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2025-9035 Overview

CVE-2025-9035 is a reflected Cross-Site Scripting (XSS) vulnerability in Horato Internet Technologies Ind. And Trade Inc.'s Virtual Library Platform. The flaw stems from improper neutralization of user-supplied input during web page generation [CWE-79]. Attackers can craft malicious links that, once clicked by an authenticated or unauthenticated user, execute arbitrary JavaScript in the victim's browser session. The issue affects all Virtual Library Platform releases prior to v202. Turkey's national cybersecurity center (USOM) issued a public advisory tracking this issue as TR-25-0284.

Critical Impact

Reflected XSS in the Virtual Library Platform allows attackers to hijack sessions, steal credentials, and perform actions in the context of the targeted user.

Affected Products

  • Horato Virtual Library Platform versions before v202
  • Web-facing library portals hosting the platform
  • Deployments exposing user-controlled query parameters without sanitization

Discovery Timeline

  • 2025-09-22 - CVE-2025-9035 published to the National Vulnerability Database
  • 2026-06-17 - Last updated in the NVD database

Technical Details for CVE-2025-9035

Vulnerability Analysis

The vulnerability is a reflected XSS flaw classified under [CWE-79]. The Virtual Library Platform accepts input through HTTP request parameters and reflects that input into the rendered HTML response without proper encoding or sanitization. When a user is tricked into visiting an attacker-crafted URL, the injected payload executes in the browser under the origin of the vulnerable application.

The attack requires user interaction, typically through a phishing link or a poisoned referral. Once executed, the injected script runs with full access to the page's Document Object Model (DOM), cookies not flagged as HttpOnly, and any authenticated session context. Impact is limited to confidentiality and availability at a scope-unchanged level, with no integrity impact reported in the CVSS vector.

Root Cause

The root cause is missing output encoding on user-controlled request parameters. The application inserts request data directly into HTML contexts such as attribute values or inline script blocks without applying context-appropriate escaping. Standard defenses such as HTML entity encoding, JavaScript string escaping, or a strict Content Security Policy (CSP) are absent or misconfigured.

Attack Vector

The attack is delivered over the network and requires user interaction. An attacker constructs a URL containing a JavaScript payload in a vulnerable parameter and delivers it via email, chat, or a malicious website. When the victim opens the link, the server reflects the payload into the response, and the browser executes it. Typical payloads target session cookies, form data, or trigger cross-site request forgery against authenticated endpoints. See the USOM Security Notification for advisory details.

Detection Methods for CVE-2025-9035

Indicators of Compromise

  • HTTP request logs containing <script>, onerror=, onload=, or javascript: sequences in query strings targeting Virtual Library Platform endpoints
  • Unusual outbound requests from user browsers to attacker-controlled domains following library portal visits
  • Session cookies observed on unfamiliar IP addresses shortly after users click external referral links
  • Web Application Firewall (WAF) alerts flagging URL-encoded XSS payloads such as %3Cscript%3E

Detection Strategies

  • Inspect web server access logs for reflected parameters containing HTML or JavaScript metacharacters
  • Deploy signature-based WAF rules covering common reflected XSS payloads and encodings
  • Use browser Content Security Policy violation reporting to surface unexpected inline script execution
  • Correlate authentication anomalies with recent referral URLs to identify session theft attempts

Monitoring Recommendations

  • Forward web server, WAF, and reverse proxy logs to a central SIEM for XSS pattern searches
  • Alert on repeated 200-response requests containing script tags in query parameters
  • Monitor help-desk reports of unexpected pop-ups, redirects, or forced logouts among library users
  • Track outbound HTTP referrers from library portal sessions to detect data exfiltration

How to Mitigate CVE-2025-9035

Immediate Actions Required

  • Upgrade Horato Virtual Library Platform to v202 or later on all affected instances
  • Place vulnerable deployments behind a WAF with reflected XSS signatures enabled until patched
  • Force-invalidate active user sessions after upgrading to remove any hijacked tokens
  • Notify library users to avoid clicking untrusted links referencing the platform

Patch Information

The vendor addresses the vulnerability in Virtual Library Platform releases at or above v202. Administrators should consult the Siber Güvenlik Security Advisory for vendor coordination details and confirm the deployed build number after applying the update.

Workarounds

  • Enable a strict Content Security Policy that disallows inline scripts and restricts script sources
  • Set the HttpOnly and Secure attributes on all session cookies to reduce theft impact
  • Configure the WAF to block requests containing <, >, or javascript: tokens in query parameters used by the platform
  • Restrict administrative interfaces of the platform to trusted IP ranges via network access controls
bash
# Example nginx configuration adding a strict CSP and secure cookie flags
add_header Content-Security-Policy "default-src 'self'; script-src 'self'; object-src 'none'; frame-ancestors 'none'" always;
add_header X-Content-Type-Options "nosniff" always;
add_header X-Frame-Options "DENY" always;
proxy_cookie_path / "/; HttpOnly; Secure; SameSite=Lax";

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

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