Wayback Surface Hunter
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": "Wayback Surface Hunter",
"author": ["KittySploit Team"],
"description": (
"Mine Internet Archive (Wayback CDX) for historical URLs and flag forgotten "
"sensitive endpoints — admin panels, configs, backups, API docs, and debug paths."
),
"tags": ["osint", "passive", "wayback", "historical", "surface"],
}
target = OptString("", "Target domain (e.g. example.com)", required=True)
max_urls = OptString("500", "Maximum unique URLs to fetch from CDX", required=False)
min_score = OptString("40", "Minimum sensitivity score to keep (0-100)", required=False)
timeout = OptString("15", "HTTP timeout in seconds", required=False)
output_file = OptString("", "Optional JSON output file", required=False)
SENSITIVE_RULES = [
(re.compile(r"(^|/)(admin|administrator|wp-admin|phpmyadmin|manager)(/|$)", re.I), "admin_panel", 85),
(re.compile(r"\.env(\.|$|/)", re.I), "env_file", 95),
(re.compile(r"\.git(/|$)", re.I), "git_exposure", 90),
(re.compile(r"(backup|dump|sql|\.bak|\.old|\.swp|\.tar|\.zip|\.gz)(/|\.|$)", re.I), "backup_artifact", 88),
(re.compile(r"(swagger|openapi|api-docs|graphql)(/|\.|$)", re.I), "api_documentation", 75),
(re.compile(r"(phpinfo|trace|debug|stacktrace|actuator)(/|\.|$)", re.I), "debug_endpoint", 82),
(re.compile(r"(config|settings|credentials|secret|token|password)(/|\.|$)", re.I), "config_hint", 70),
(re.compile(r"(login|signin|auth|oauth|sso)(/|\.|$)", re.I), "auth_endpoint", 55),
(re.compile(r"(\.sql|\.log|\.conf|\.ini|\.yaml|\.yml|\.json)(/|$|\?)", re.I), "sensitive_extension", 65),
(re.compile(r"(internal|staging|dev|test|uat|preprod)(/|\.|$)", re.I), "nonprod_host", 60),
]
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):
domain = str(value).strip().lower()
domain = re.sub(r"^https?://", "", domain)
domain = domain.split("/", 1)[0].strip(".")
if "@" in domain or not domain or "." not in domain:
return None
return domain
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 {"User-Agent": "KittyOSINT/1.0"},
)
except Exception:
return None
finally:
self.target = old_target
self.port = old_port
self.ssl = old_ssl
def _query_cdx(self, domain, limit, timeout_seconds):
url = (
"https://web.archive.org/cdx/search/cdx"
f"?url=*.{domain}/*&output=json&fl=original,statuscode,mimetype,timestamp"
f"&collapse=urlkey&limit={limit}"
)
resp = self._http_get_url(url, timeout_seconds)
if not resp or resp.status_code != 200:
return []
try:
rows = resp.json()
except Exception:
return []
if not rows or len(rows) < 2:
return []
headers = rows[0]
findings = []
for row in rows[1:]:
entry = dict(zip(headers, row))
original = entry.get("original", "")
if not original:
continue
findings.append({
"url": original,
"status_code": entry.get("statuscode"),
"mimetype": entry.get("mimetype"),
"last_seen": entry.get("timestamp"),
})
return findings
def _score_url(self, url):
path = urlparse(url).path or "/"
best = {"category": None, "score": 0, "matches": []}
for pattern, category, score in self.SENSITIVE_RULES:
if pattern.search(path) or pattern.search(url):
best["matches"].append(category)
if score > best["score"]:
best["score"] = score
best["category"] = category
return best
def _risk_level(self, findings):
if any(f.get("score", 0) >= 85 for f in findings):
return "HIGH"
if any(f.get("score", 0) >= 60 for f in findings):
return "MEDIUM"
if findings:
return "LOW"
return "NONE"
def run(self):
domain = self._normalize_domain(self.target)
if not domain:
print_error("target must be a valid domain")
return {"error": "invalid domain target"}
max_urls = self._to_int(self.max_urls, 500)
min_score = min(100, self._to_int(self.min_score, 40))
timeout_seconds = self._to_int(self.timeout, 15)
print_info(f"Querying Wayback CDX for *.{domain} (limit={max_urls})...")
raw_entries = self._query_cdx(domain, max_urls, timeout_seconds)
if not raw_entries:
print_warning("No Wayback CDX data returned (domain may be absent from archive or source unavailable)")
return {
"target": domain,
"total_archived_urls": 0,
"sensitive_count": 0,
"risk_level": "NONE",
"findings": [],
}
scored = []
for entry in raw_entries:
meta = self._score_url(entry["url"])
if meta["score"] < min_score:
continue
scored.append({
**entry,
"score": meta["score"],
"category": meta["category"],
"matches": meta["matches"],
})
scored.sort(key=lambda x: (-x.get("score", 0), x.get("url", "")))
risk = self._risk_level(scored)
categories = {}
for f in scored:
cat = f.get("category") or "other"
categories[cat] = categories.get(cat, 0) + 1
data = {
"target": domain,
"total_archived_urls": len(raw_entries),
"sensitive_count": len(scored),
"risk_level": risk,
"category_breakdown": categories,
"findings": scored[:100],
}
print_success(
f"Wayback scan: {len(raw_entries)} archived URL(s), "
f"{len(scored)} sensitive (risk={risk})"
)
for f in scored[:12]:
print_info(
f" [{f.get('score')}] {f.get('category')}: {f.get('url')} "
f"(archived {f.get('last_seen', '?')})"
)
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 [], []
target = data.get("target", self.target)
nodes = []
edges = []
for i, f in enumerate(data.get("findings", [])[:20]):
nid = f"wayback_{i}"
label = f"{f.get('category', 'url')}: {urlparse(f.get('url', '')).path[:40]}"
nodes.append({"id": nid, "label": label, "group": "url", "icon": "🕰️"})
edges.append({"from": target, "to": nid, "label": "archived"})
return nodes, edges
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29 Jun 2026 09:40Current
5.8Medium risk
Vulners AI Score5.8