LiteLLM Proxy - Model Exposure Detection
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""LiteLLM proxy was detected with anonymous access to the model listing API."""
from kittysploit import *
from lib.protocols.http.http_client import Http_client
class Module(Scanner, Http_client):
__info__ = {
'name': 'LiteLLM Proxy - Model Exposure Detection',
'description': 'LiteLLM proxy was detected with anonymous access to the model listing API. LiteLLM proxies that ship without `general_settings.master_key` (or with the key disabled) expose the configured upstream model catalog via /v1/models and /model/info — revealing which OpenAI / Anthropic / Azure / Bedrock / local-LLM endpoints are wired in, often along with their litellm_params routing config, and frequently leaving /chat/completions and /embeddings reachable without any bearer token.',
'author': ['KittySploit Team'],
'severity': 'medium',
'tags': ['web', 'scanner', 'misconfiguration', 'litellm', 'llm', 'ai', '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://docs.litellm.ai/docs/proxy/virtual_keys',
'https://docs.litellm.ai/docs/proxy/configs',
'https://github.com/BerriAI/litellm',
],
}
def run(self):
r = self.http_request(method="GET", path='/model/info', allow_redirects=False)
if not r or r.status_code != 200:
return False
body = r.text or ""
body_any = ('application/json',)
body_all = (':',)
if (any(m in body for m in body_any)) and (all(m in body for m in body_all)):
self.set_info(
severity='medium',
reason="LiteLLM Proxy - Model Exposure detected",
path='/model/info',
)
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
5.9Medium risk
Vulners AI Score5.9