H2O Driverless AI Panel - Detect
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""H2O Driverless AI, a commercial automated machine learning (AutoML) platform that provides a web UI typically ."""
from kittysploit import *
from lib.protocols.http.http_client import Http_client
class Module(Scanner, Http_client):
__info__ = {
'name': 'H2O Driverless AI Panel - Detect',
'description': 'H2O Driverless AI, a commercial automated machine learning (AutoML) platform that provides a web UI typically served on port 12345 for building and deploying machine learning models, was detected. An exposed H2O Driverless AI login panel was identified. It is distinct from H2O Wave and H2O-3/Flow, which are separate H2O.ai products with different branding, ports, and UIs.',
'author': ['KittySploit Team'],
'severity': 'info',
'tags': ['web', 'scanner', 'panel', 'h2o-driverless-ai', 'ml', 'ai', 'automl'],
'agent': {
'risk': 'active',
'effects': ['network_probe'],
'expected_requests': 1,
'reversible': True,
'approval_required': False,
'produces': ['tech_hints', 'risk_signals', 'endpoints'],
'cost': 1.0,
'noise': 0.3,
'value': 1.0,
'requires': {
'min_endpoints': 0,
'min_params': 0,
'tech_hints_any': [],
'tech_hints_all': [],
'specializations_any': [],
'risk_signals_any': [],
'auth_session': False,
'capabilities_any': [],
'capabilities_all': [],
'confidence_min': {},
'confidence_min_any': {},
'endpoint_pattern_any': [],
'param_any': [],
'api_surface_ready': False,
},
'chain': {
'produces_capabilities': [
{
'capability': 'admin_surface',
'from_detail': '',
},
],
'consumes_capabilities': [],
'option_bindings': {},
'suggested_followups': ['auxiliary/scanner/http/login_page_detector'],
},
},
'references': [
'https://h2o.ai/platform/ai-cloud/make/driverless-ai/',
'https://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/index.html',
],
}
def run(self):
r = self.http_request(method="GET", path='/login', allow_redirects=True)
if not r or r.status_code != 200:
return False
body = (r.text or "").lower()
body_markers = (
'driverless ai',
)
body_hit = any(m in body for m in body_markers)
headers = "\n".join(f"{k}: {v}" for k, v in r.headers.items()).lower()
header_markers = (
'server: h2o driverless ai',
)
if body_hit and any(m in headers for m in header_markers):
self.set_info(
severity='info',
reason="H2O Driverless AI Panel detected",
path='/login',
)
return True
return False
Data
Build on a solid foundation with Vulners data
We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data
Api
Power your application with Vulners API
The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access
App
Assess and manage vulnerabilities with Vulners tools
Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation
28 Jul 2026 11:27Current
5.8Medium risk
Vulners AI Score5.8