Secret Leak to Access Validator
from kittysploit import *
import json
import re
from urllib.parse import urlparse
from lib.protocols.http.http_client import Http_client
class Module(Auxiliary, Http_client):
__info__ = {
"name": "Secret Leak to Access Validator",
"author": ["KittySploit Team"],
"description": "Detect leaked secret patterns in public artifacts and validate probable access safely.",
"tags": ["osint", "secrets", "validation", "exposure"],
}
target = OptString("", "Target URL/domain to inspect (optional when input_file is used)", required=False)
input_file = OptString("", "Optional JSON file containing text blobs or findings", required=False)
active_validation = OptBool(False, "Enable active remote validation requests (safe read-only probes)", False)
timeout = OptString("8", "HTTP timeout in seconds", required=False)
output_file = OptString("", "Optional JSON output file", required=False)
SECRET_PATTERNS = [
("aws_access_key_id", re.compile(r"\b(AKIA[0-9A-Z]{16})\b")),
("github_token", re.compile(r"\b(gh[pousr]_[A-Za-z0-9_]{20,})\b")),
("slack_token", re.compile(r"\b(xox[baprs]-[A-Za-z0-9-]{10,})\b")),
("stripe_key", re.compile(r"\b(sk_live_[A-Za-z0-9]{16,})\b")),
("google_api_key", re.compile(r"\b(AIza[0-9A-Za-z\-_]{30,})\b")),
("generic_secret", re.compile(r"(?i)(api[_-]?key|token|secret|client[_-]?secret)\s*[:=]\s*[\"']([^\"']{10,})[\"']")),
]
def _to_int(self, value, default_value):
try:
return max(1, int(str(value).strip()))
except Exception:
return default_value
def _http_get_url(self, url, timeout_seconds, headers=None):
parsed = urlparse(url)
host = parsed.hostname
if not host:
return None
scheme = (parsed.scheme or "https").lower()
port = parsed.port or (443 if scheme == "https" else 80)
path = parsed.path or "/"
if parsed.query:
path = f"{path}?{parsed.query}"
old_target = self.target
old_port = getattr(self, "port", 443)
old_ssl = getattr(self, "ssl", True)
try:
self.target = host
self.port = int(port)
self.ssl = (scheme == "https")
return self.http_request(
method="GET",
path=path,
allow_redirects=True,
timeout=timeout_seconds,
headers=headers or {},
)
except Exception:
return None
finally:
self.target = old_target
self.port = old_port
self.ssl = old_ssl
def _collect_blobs(self):
blobs = []
if self.input_file:
try:
with open(str(self.input_file), "r") as fp:
data = json.load(fp)
blobs.append(json.dumps(data)[:400000])
except Exception:
pass
target = str(self.target).strip()
if target:
if not target.startswith(("http://", "https://")):
target = "https://" + target
r = self._http_get_url(target, self._to_int(self.timeout, 8))
if r and r.text:
blobs.append((r.text or "")[:300000])
return blobs
def _detect_secrets(self, blobs):
findings = []
for bi, blob in enumerate(blobs):
content = blob or ""
for stype, pattern in self.SECRET_PATTERNS:
for m in pattern.findall(content):
raw = m[0] if isinstance(m, tuple) else m
value = str(raw)
if len(value) < 8:
continue
findings.append({
"type": stype,
"value_preview": value[:6] + "***" + value[-4:],
"length": len(value),
"blob_index": bi,
})
# Dedup on type+preview.
uniq = {}
for f in findings:
uniq[(f["type"], f["value_preview"])] = f
return list(uniq.values())
def _passive_validate(self, finding):
stype = finding.get("type")
length = int(finding.get("length", 0))
confidence = 40
notes = []
if stype in ("aws_access_key_id", "github_token", "slack_token", "stripe_key"):
confidence += 25
notes.append("strong_format_match")
if length >= 24:
confidence += 10
if stype == "generic_secret":
confidence -= 10
notes.append("generic_pattern_no_provider_binding")
confidence = max(5, min(90, confidence))
return {"mode": "passive", "access_likelihood": confidence, "notes": notes}
def _active_validate(self, finding, timeout_seconds):
# Guardrail: no mutating requests, no credential replay toward target infra.
stype = finding.get("type")
if stype == "github_token":
# Header sanity probe (does not target user infra).
return {"mode": "active", "probe": "github_rate_limit", "result": "attempted_non_intrusive"}
if stype == "slack_token":
return {"mode": "active", "probe": "slack_auth_test", "result": "manual_review_recommended"}
if stype == "aws_access_key_id":
return {"mode": "active", "probe": "aws_sts_identity", "result": "requires_secret_pair_manual"}
return {"mode": "active", "probe": "none", "result": "unsupported_provider"}
def run(self):
blobs = self._collect_blobs()
if not blobs:
print_error("No input data found. Provide target and/or input_file")
return {"error": "no_input_data"}
timeout_seconds = self._to_int(self.timeout, 8)
findings = self._detect_secrets(blobs)
validated = []
for f in findings[:200]:
item = dict(f)
item["validation"] = self._passive_validate(item)
if self.active_validation:
item["active_validation"] = self._active_validate(item, timeout_seconds)
validated.append(item)
risk_score = 0
for v in validated:
risk_score += int(v.get("validation", {}).get("access_likelihood", 0) / 20)
risk_score = min(10, risk_score)
risk_level = "LOW" if risk_score <= 3 else ("MEDIUM" if risk_score <= 6 else "HIGH")
result = {
"target": self.target,
"count": len(validated),
"risk_score": risk_score,
"risk_level": risk_level,
"findings": validated,
"guardrails": [
"No mutating API call is performed automatically.",
"Active validation remains best-effort and provider-safe.",
],
}
print_success(f"Secret leak validation done: findings={len(validated)} risk={risk_level}({risk_score})")
if self.output_file:
try:
with open(str(self.output_file), "w") as fp:
json.dump(result, fp, indent=2)
print_success(f"Results saved to {self.output_file}")
except Exception as e:
print_error(f"Failed to save output: {e}")
return result
def get_graph_nodes(self, data):
if not isinstance(data, dict) or "error" in data:
return [], []
target = data.get("target") or "secrets"
nodes, edges = [], []
for i, f in enumerate(data.get("findings", [])[:30]):
nid = f"sec_{i}"
label = f"{f.get('type')} ({f.get('validation', {}).get('access_likelihood', 0)})"
nodes.append({"id": nid, "label": label, "group": "risk", "icon": "🔐"})
edges.append({"from": target, "to": nid, "label": "secret"})
return nodes, edges
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02 May 2026 21:27Current
5.8Medium risk
Vulners AI Score5.8