MindsDB Cross-site Scripting (XSS) vulnerability

The impact of this XSS vulnerability is significant. An attacker can leverage it to execute arbitrary JavaScript code in the context of a user's browser session. This could allow them to steal session cookies, redirect users to malicious websites, deface the web interface, or even gain complete control over the user's account. The ability to inject code during enumeration of ML Engines, databases, projects, and datasets expands the attack surface considerably, as these actions are often performed by administrators and other privileged users. Successful exploitation could compromise sensitive data stored within MindsDB, including machine learning models and database credentials.

Organizations utilizing MindsDB for machine learning model management and deployment are at risk. This includes data scientists, machine learning engineers, and DevOps teams who interact with the MindsDB web UI. Specifically, those relying on older versions of MindsDB (≤24.9.2.1) are highly vulnerable.

• python / server:

import requests
from bs4 import BeautifulSoup

url = 'http://your-mindsdb-instance/ui/ml-engines'
response = requests.get(url)

if response.status_code == 200:
    soup = BeautifulSoup(response.content, 'html.parser')
    # Look for suspicious script tags or event handlers
    for script in soup.find_all('script'):
        if script.string and 'eval(' in script.string:
            print(f'Potential XSS detected: {script.string}')

• generic web:

curl -I http://your-mindsdb-instance/ui/ml-engines | grep -i 'content-security-policy'

• generic web:

curl -I http://your-mindsdb-instance/ui/ml-engines | grep -i 'x-xss-protection'

1. 2024-09-12Disclosure

   disclosure

1. Reserviert2024-09-10
2. Veröffentlicht2024-09-12
3. EPSS aktualisiert2026-04-02

The primary mitigation for CVE-2024-45856 is to upgrade to a patched version of MindsDB that addresses the vulnerability. Unfortunately, the specific fixed version is not provided. Until a patched version is available, consider implementing input validation and sanitization on all user-supplied data within the web UI. While not a complete solution, this can help reduce the attack surface. Web Application Firewalls (WAFs) configured to detect and block XSS payloads can also provide an additional layer of defense. Monitor MindsDB logs for suspicious activity, particularly unusual JavaScript execution patterns.