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Vulnerability Database/CVE-2025-54852

CVE-2025-54852: MedDream PACS Premium XSS Vulnerability

CVE-2025-54852 is a reflected cross-site scripting vulnerability in MedDream PACS Premium that allows attackers to execute arbitrary JavaScript through malicious URLs. This post covers its technical details, impact, and mitigation.

Published:

CVE-2025-54852 Overview

A reflected cross-site scripting (XSS) vulnerability has been identified in the modifyAeTitle functionality of MedDream PACS Premium 7.3.6.870. This vulnerability allows attackers to craft malicious URLs that, when visited by an authenticated user, execute arbitrary JavaScript code in the context of the victim's browser session. MedDream PACS is a widely used Picture Archiving and Communication System (PACS) in healthcare environments for managing and viewing medical imaging data.

Critical Impact

Attackers can execute arbitrary JavaScript in authenticated user sessions, potentially leading to session hijacking, credential theft, or unauthorized access to sensitive medical imaging data within healthcare environments.

Affected Products

  • MedDream PACS Premium 7.3.6.870

Discovery Timeline

  • 2026-01-20 - CVE CVE-2025-54852 published to NVD
  • 2026-01-20 - Last updated in NVD database

Technical Details for CVE-2025-54852

Vulnerability Analysis

This reflected XSS vulnerability exists within the modifyAeTitle functionality of MedDream PACS Premium. The vulnerability occurs because user-supplied input is reflected back to the browser without proper sanitization or encoding. When a user clicks on a specially crafted malicious URL, the injected JavaScript payload is executed within the security context of the MedDream PACS application.

In healthcare environments where MedDream PACS is deployed, successful exploitation could allow attackers to steal session cookies, capture credentials, perform actions on behalf of authenticated users, or access sensitive patient medical imaging data. The vulnerability requires user interaction—specifically, the victim must click on the malicious link provided by the attacker.

Root Cause

The root cause of this vulnerability is improper input validation and output encoding in the modifyAeTitle functionality. The application fails to adequately sanitize user-controlled input before reflecting it back in the HTTP response, allowing attackers to inject malicious script content. This is classified as CWE-79: Improper Neutralization of Input During Web Page Generation (Cross-site Scripting).

Attack Vector

The attack is conducted over the network and requires an attacker to craft a malicious URL containing JavaScript payload and convince a victim to click on it. This is typically achieved through social engineering techniques such as phishing emails, malicious links in forums, or other communication channels.

The attacker constructs a URL targeting the vulnerable modifyAeTitle endpoint with embedded JavaScript code. When an authenticated MedDream PACS user clicks the link, their browser executes the malicious script in the context of the trusted MedDream application domain. This allows the attacker's code to access cookies, session tokens, and other sensitive information tied to that domain.

For detailed technical analysis of the vulnerability, refer to the Talos Intelligence Vulnerability Report.

Detection Methods for CVE-2025-54852

Indicators of Compromise

  • Unusual URL patterns containing script tags or JavaScript event handlers in requests to the modifyAeTitle endpoint
  • Web server logs showing requests with encoded script payloads such as <script>, javascript:, or event handlers like onerror, onload
  • Unexpected outbound connections from user browsers to external domains following access to MedDream PACS

Detection Strategies

  • Deploy web application firewalls (WAF) with rules to detect and block common XSS payload patterns in URL parameters
  • Implement Content Security Policy (CSP) headers to restrict inline script execution and report violations
  • Monitor web server access logs for requests containing suspicious encoded characters or script patterns targeting the modifyAeTitle endpoint

Monitoring Recommendations

  • Enable verbose logging for the MedDream PACS application to capture full request URLs and parameters
  • Configure SIEM rules to alert on multiple requests with XSS-like patterns from the same source IP
  • Monitor for CSP violation reports that may indicate attempted XSS exploitation

How to Mitigate CVE-2025-54852

Immediate Actions Required

  • Review and restrict access to the MedDream PACS application to authorized users and trusted networks only
  • Implement Content Security Policy (CSP) headers to mitigate the impact of potential XSS attacks
  • Educate users about phishing risks and the importance of not clicking on suspicious links
  • Deploy a web application firewall (WAF) with XSS protection rules in front of the MedDream PACS application

Patch Information

Consult the Talos Intelligence Vulnerability Report for the latest information on available patches and vendor remediation guidance. Contact MedDream support for specific patch availability and update instructions for your deployment.

Workarounds

  • Implement strict input validation on all user-controlled parameters at the application or WAF level
  • Deploy Content Security Policy headers with script-src 'self' to prevent inline script execution
  • Consider restricting access to the administrative modifyAeTitle functionality to internal networks only via network segmentation
  • Enable HTTP-only and Secure flags on all session cookies to reduce the impact of session hijacking attempts
bash
# Example CSP header configuration for Apache
Header set Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; frame-ancestors 'self';"

# Example CSP header configuration for Nginx
add_header Content-Security-Policy "default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; img-src 'self' data:; frame-ancestors 'self';";

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

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