SSL TLS Certificate Change Tracker
from kittysploit import *
import json
from datetime import datetime, timezone
from urllib.parse import urlparse
from lib.protocols.http.http_client import Http_client
class Module(Auxiliary, Http_client):
__info__ = {
"name": "SSL TLS Certificate Change Tracker",
"author": ["KittySploit Team"],
"description": "Track certificate transparency changes and trust-chain anomalies for a domain.",
"tags": ["osint", "tls", "ssl", "certificate", "ct"],
}
target = OptString("", "Target domain", required=True)
limit = OptString("50", "Maximum CT entries to keep", required=False)
timeout = OptString("10", "HTTP timeout in seconds", required=False)
output_file = OptString("", "Optional JSON output file", required=False)
def _to_int(self, value, default_value):
try:
return max(1, int(str(value).strip()))
except Exception:
return default_value
def _normalize_domain(self, value):
v = str(value).strip().lower()
v = v.replace("https://", "").replace("http://", "")
v = v.split("/", 1)[0].strip(".")
if not v or "." not in v:
return None
return v
def _http_get_url(self, url, timeout_seconds):
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("GET", path=path, timeout=timeout_seconds, allow_redirects=True)
except Exception:
return None
finally:
self.target = old_target
self.port = old_port
self.ssl = old_ssl
def _parse_ct_time(self, value):
if not value:
return None
# crt.sh formats vary, keep best effort.
for fmt in ("%Y-%m-%dT%H:%M:%S", "%Y-%m-%d %H:%M:%S"):
try:
return datetime.strptime(value[:19], fmt).replace(tzinfo=timezone.utc)
except Exception:
continue
return None
def _chain_risk(self, entries):
score = 0
signals = []
if len(entries) >= 50:
score += 2
signals.append("high_certificate_churn")
issuers = {str(e.get("issuer_name", "")).lower() for e in entries if e.get("issuer_name")}
if len(issuers) >= 4:
score += 2
signals.append("many_distinct_issuers")
wildcard = [e for e in entries if "*" in str(e.get("name_value", ""))]
if wildcard:
score += 1
signals.append("wildcard_certificates_present")
recent = 0
now = datetime.now(timezone.utc)
for e in entries:
ts = self._parse_ct_time(e.get("entry_timestamp"))
if ts and (now - ts).days <= 14:
recent += 1
if recent >= 5:
score += 2
signals.append("recent_certificate_wave")
return min(10, score), signals
def run(self):
domain = self._normalize_domain(self.target)
if not domain:
print_error("target must be a valid domain")
return {"error": "invalid target"}
timeout_seconds = self._to_int(self.timeout, 10)
limit = self._to_int(self.limit, 50)
url = f"https://crt.sh/?q=%25.{domain}&output=json"
print_info(f"Tracking CT certificate changes for {domain}")
resp = self._http_get_url(url, timeout_seconds)
if not resp or resp.status_code != 200:
print_error("Failed to query crt.sh")
return {"error": "ct_query_failed", "target": domain}
try:
rows = resp.json()
except Exception:
print_error("Invalid CT response")
return {"error": "ct_parse_failed", "target": domain}
entries = []
seen = set()
for row in rows:
key = f"{row.get('id')}:{row.get('issuer_name')}:{row.get('name_value')}"
if key in seen:
continue
seen.add(key)
entries.append({
"id": row.get("id"),
"issuer_name": row.get("issuer_name"),
"name_value": row.get("name_value"),
"entry_timestamp": row.get("entry_timestamp"),
"not_before": row.get("not_before"),
"not_after": row.get("not_after"),
})
entries = entries[:limit]
risk_score, signals = self._chain_risk(entries)
risk_level = "LOW" if risk_score <= 2 else ("MEDIUM" if risk_score <= 5 else "HIGH")
data = {
"target": domain,
"count_certificates": len(entries),
"risk_score": risk_score,
"risk_level": risk_level,
"signals": signals,
"certificates": entries,
}
print_success(
f"CT tracking done: certificates={data['count_certificates']} risk={risk_level}"
)
if self.output_file:
try:
with open(str(self.output_file), "w") as fp:
json.dump(data, 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 data
def get_graph_nodes(self, data):
if not isinstance(data, dict) or "error" in data:
return [], []
root = data.get("target", self.target)
nodes, edges = [], []
for i, cert in enumerate(data.get("certificates", [])[:20]):
nid = f"cert_{i}_{root}"
nodes.append({
"id": nid,
"label": f"{cert.get('issuer_name', 'issuer')} -> {str(cert.get('name_value', ''))[:40]}",
"group": "certificate",
"icon": "🔐",
})
edges.append({"from": root, "to": nid, "label": "ct"})
return nodes, edges
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02 May 2026 21:27Current
5.8Medium risk
Vulners AI Score5.8