Neon Database URL Validation
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Validate leaked Neon database URLs and Management API keys."""
from kittysploit import *
from lib.protocols.http.http_client import Http_client
from lib.scanner.http.neon_probe import enumerate_neon
from lib.scanner.http.vibe_secrets_probe import collect_vibe_http_bodies, mask_secret
class Module(Auxiliary, Http_client):
__info__ = {
"name": "Neon Database URL Validation",
"description": (
"Parses leaked Neon postgres:// URLs (*.neon.tech) and validates Neon "
"Management API keys against /api/v2/projects. Auto-discovers from bundles."
),
"author": ["KittySploit Team"],
"tags": ["neon", "postgres", "database", "cloud", "enumeration", "auxiliary"],
"modules": [
"auxiliary/scanner/http/turso_upstash_enum",
"scanner/http/vibe_stack_secrets_detect",
],
"agent": {
"risk": "intrusive",
"effects": ["network_probe"],
"expected_requests": 3,
"reversible": True,
"approval_required": True,
"produces": ["credentials", "risk_signals", "secret_exposure"],
"cost": 1.0,
"noise": 0.3,
"value": 1.2,
},
}
database_url = OptString("", "Neon DATABASE_URL (postgres://…@*.neon.tech/…)", False)
api_key = OptString("", "Neon Management API key", False)
auto_discover = OptBool(True, "Scrape SPA for Neon credentials", False)
def run(self):
bodies = collect_vibe_http_bodies(self.http_request) if self._to_bool(self.auto_discover) else []
homepage = next((t for p, t in bodies if p == "/"), "")
self._configure_session()
findings, creds = enumerate_neon(
self.session,
homepage,
verify_ssl=self._to_bool(self.verify_ssl),
database_url=str(self.database_url or "").strip(),
api_key=str(self.api_key or "").strip(),
)
ok = [f for f in findings if f.get("ok")]
if not ok:
print_error("No Neon credentials found (set DATABASE_URL/API key or enable auto_discover)")
return False
for hit in ok:
print_success(f"Neon {hit.get('kind')}: {hit.get('host') or hit.get('projects') or hit.get('count')}")
self.set_info(
severity="critical",
reason=f"Neon validation: {len(ok)} hit(s)",
findings=findings,
credentials={k: mask_secret(v) for k, v in creds.items()},
)
return True
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08 Aug 2026 21:48Current
5.8Medium risk
Vulners AI Score5.8