Generic Tokens Detection
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Detect likely exposed API tokens / secrets in HTML responses."""
import re
from kittysploit import *
from lib.protocols.http.http_client import Http_client
class Module(Scanner, Http_client):
__info__ = {
'name': 'Generic Tokens Detection',
'description': 'Detects likely exposed API tokens or secrets in HTTP responses.',
'author': ['KittySploit Team'],
'severity': 'info',
'tags': ['web', 'scanner', 'exposure', 'token', 'generic', 'vuln'],
'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': [],
'consumes_capabilities': [],
'option_bindings': {},
'suggested_followups': [],
},
},
}
# High-signal secret shapes only (previous port used Nuclei negative-match noise as positives).
_PATTERNS = (
(r"(?i)['\"]?api[_-]?key['\"]?\s*[:=]\s*['\"][A-Za-z0-9_\-]{16,}['\"]", "api_key"),
(r"(?i)['\"]?secret[_-]?key['\"]?\s*[:=]\s*['\"][A-Za-z0-9_\-/+=]{16,}['\"]", "secret_key"),
(r"(?i)['\"]?access[_-]?token['\"]?\s*[:=]\s*['\"][A-Za-z0-9_\-.]{20,}['\"]", "access_token"),
(r"(?i)['\"]?auth[_-]?token['\"]?\s*[:=]\s*['\"][A-Za-z0-9_\-.]{20,}['\"]", "auth_token"),
(r"(?i)\bAKIA[0-9A-Z]{16}\b", "aws_access_key"),
(r"(?i)\bghp_[A-Za-z0-9]{36}\b", "github_pat"),
(r"(?i)\bxox[baprs]-[A-Za-z0-9-]{10,}\b", "slack_token"),
)
def run(self):
path = '/'
r = self.http_request(method='GET', path=path, allow_redirects=False)
if not r or r.status_code != 200:
return False
body = r.text or ""
hits = []
for rx, label in self._PATTERNS:
if re.search(rx, body):
hits.append(label)
if not hits:
return False
self.set_info(
severity='info',
reason=f"possible exposed token(s): {', '.join(sorted(set(hits)))}",
path=path,
)
return True
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28 Jul 2026 11:27Current
5.8Medium risk
Vulners AI Score5.8