Prodigy Annotation Tool - Unauthenticated Exposure Detection
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Prodigy, a commercial scriptable annotation tool by Explosion AI used to label training data for machine learn."""
from kittysploit import *
from lib.protocols.http.http_client import Http_client
class Module(Scanner, Http_client):
__info__ = {
'name': 'Prodigy Annotation Tool - Unauthenticated Exposure Detection',
'description': 'Prodigy, a commercial scriptable annotation tool by Explosion AI used to label training data for machine learning and NLP models, was detected. Its local web server (default port 8080, built on uvicorn/FastAPI) ships with no built-in authentication or user accounts by default and is designed to run on localhost or a trusted network. The annotation UI was found directly reachable to unauthenticated visitors.',
'author': ['KittySploit Team'],
'severity': 'medium',
'tags': ['web', 'scanner', 'panel', 'prodigy', 'ai', 'data-annotation', 'misconfig', 'exposure'],
'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://prodi.gy', 'https://prodi.gy/docs'],
}
def run(self):
r = self.http_request(method="GET", path='/', allow_redirects=True)
if not r or r.status_code != 200:
return False
body = r.text or ""
body_markers = (
'<title>Prodigy</title>',
'id="root"',
'src="bundle.js"',
)
body_hit = any(m in body for m in body_markers)
headers = "\n".join(f"{k}: {v}" for k, v in r.headers.items())
header_markers = (
'uvicorn',
)
if body_hit and any(m in headers for m in header_markers):
self.set_info(
severity='medium',
reason="Prodigy Annotation Tool - Unauthenticated Exposure detected",
path='/',
)
return True
return False
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28 Jul 2026 11:27Current
5.8Medium risk
Vulners AI Score5.8