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Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, a
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SKILL.md を表示中
Detecting and exploiting HTTP request smuggling vulnerabilities caused by Content-Length and Transfer-Encoding parsing discrepancies between front-end and back-end servers.
Identifying and exploiting OAuth 2.0 and OpenID Connect misconfigurations including redirect URI manipulation, token leakage, and authorization code theft during security assessments.
Identifying and exploiting dangling DNS records pointing to unclaimed cloud services, enabling subdomain takeover for phishing, cookie stealing, and authentication bypass during authorized penetration tests.
SOC 職業分類に基づく
| name | tracking-threat-actor-infrastructure |
| description | Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, a |
| domain | cybersecurity |
| subdomain | threat-intelligence |
| tags | ["threat-intelligence","cti","ioc","mitre-attack","stix","infrastructure-tracking","shodan","censys","passive-dns"] |
| version | 1.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | ["ID.RA-01","ID.RA-05","DE.CM-01","DE.AE-02"] |
Threat actor infrastructure tracking involves monitoring and mapping adversary-controlled assets including command-and-control (C2) servers, phishing domains, exploit kit hosts, bulletproof hosting, and staging servers. This skill covers using passive DNS, certificate transparency logs, Shodan/Censys scanning, WHOIS analysis, and network fingerprinting to discover, track, and pivot across threat actor infrastructure over time.
org, a Let's Encrypt issuer, or a JARM/JA3S hash common to thousands of stock servers will "link" unrelated hosts. Pivot on high-specificity selectors (unique ssl.cert.serial, a self-signed CN like Sliver's multiplayer/operators, a distinctive http.favicon.hash, non-standard ports) and corroborate with a second pivot before claiming a cluster.valid_from/confidence to reflect that infrastructure rotates fast.shodan, censys, requests, stix2 librariesPivoting is the technique of using one known indicator to discover related infrastructure. Starting from a known C2 IP address, analysts can pivot via: passive DNS (find domains), reverse WHOIS (find related registrations), SSL certificates (find shared certs), SSH key fingerprints, HTTP response fingerprints, JARM/JA3S hashes, and WHOIS registrant data.
Passive DNS databases record DNS query/response data observed at recursive resolvers. This allows analysts to find historical domain-to-IP mappings, discover domains hosted on a known C2 IP, and identify fast-flux or domain generation algorithm (DGA) behavior.
Certificate Transparency (CT) logs publicly record all SSL/TLS certificates issued by CAs. Monitoring CT logs reveals new certificates registered for suspicious domains, helping identify phishing sites and C2 infrastructure before they become active.
import shodan
api = shodan.Shodan("YOUR_SHODAN_API_KEY")
def discover_infrastructure(ip_address):
"""Discover services and metadata for a target IP."""
try:
host = api.host(ip_address)
return {
"ip": host["ip_str"],
"org": host.get("org", ""),
"asn": host.get("asn", ""),
"isp": host.get("isp", ""),
"country": host.get("country_name", ""),
"city": host.get("city", ""),
"os": host.get("os"),
"ports": host.get("ports", []),
"vulns": host.get("vulns", []),
"hostnames": host.get("hostnames", []),
"domains": host.get("domains", []),
"tags": host.get("tags", []),
"services": [
{
"port": svc.get("port"),
"transport": svc.get("transport"),
"product": svc.get("product", ""),
"version": svc.get("version", ""),
"ssl_cert": svc.get("ssl", {}).get("cert", {}).get("subject", {}),
"jarm": svc.get("ssl", {}).get("jarm", ""),
}
for svc in host.get("data", [])
],
}
except shodan.APIError as e:
print(f"[-] Shodan error: {e}")
return None
def search_c2_framework(framework_name):
"""Search Shodan for known C2 framework signatures."""
c2_queries = {
"cobalt-strike": 'product:"Cobalt Strike Beacon"',
"metasploit": 'product:"Metasploit"',
"covenant": 'http.html:"Covenant" http.title:"Covenant"',
"sliver": 'ssl.cert.subject.cn:"multiplayer" ssl.cert.issuer.cn:"operators"',
"havoc": 'http.html_hash:-1472705893',
}
query = c2_queries.get(framework_name.lower(), framework_name)
results = api.search(query, limit=100)
hosts = []
for match in results.get("matches", []):
hosts.append({
"ip": match["ip_str"],
"port": match["port"],
"org": match.get("org", ""),
"country": match.get("location", {}).get("country_name", ""),
"asn": match.get("asn", ""),
"timestamp": match.get("timestamp", ""),
})
return hosts
import requests
def passive_dns_lookup(indicator, api_key, indicator_type="ip"):
"""Query SecurityTrails for passive DNS records."""
base_url = "https://api.securitytrails.com/v1"
headers = {"APIKEY": api_key, "Accept": "application/json"}
if indicator_type == "ip":
url = f"{base_url}/search/list"
payload = {
"filter": {"ipv4": indicator}
}
resp = requests.post(url, json=payload, headers=headers, timeout=30)
else:
url = f"{base_url}/domain/{indicator}/subdomains"
resp = requests.get(url, headers=headers, timeout=30)
if resp.status_code == 200:
return resp.json()
return None
def query_passive_total(indicator, user, api_key):
"""Query PassiveTotal for passive DNS and WHOIS data."""
base_url = "https://api.passivetotal.org/v2"
auth = (user, api_key)
# Passive DNS
pdns_resp = requests.get(
f"{base_url}/dns/passive",
params={"query": indicator},
auth=auth,
timeout=30,
)
# WHOIS
whois_resp = requests.get(
f"{base_url}/whois",
params={"query": indicator},
auth=auth,
timeout=30,
)
results = {}
if pdns_resp.status_code == 200:
results["passive_dns"] = pdns_resp.json().get("results", [])
if whois_resp.status_code == 200:
results["whois"] = whois_resp.json()
return results
import requests
def search_ct_logs(domain):
"""Search Certificate Transparency logs via crt.sh."""
resp = requests.get(
f"https://crt.sh/?q=%.{domain}&output=json",
timeout=30,
)
if resp.status_code == 200:
certs = resp.json()
unique_domains = set()
cert_info = []
for cert in certs:
name_value = cert.get("name_value", "")
for name in name_value.split("\n"):
unique_domains.add(name.strip())
cert_info.append({
"id": cert.get("id"),
"issuer": cert.get("issuer_name", ""),
"common_name": cert.get("common_name", ""),
"name_value": name_value,
"not_before": cert.get("not_before", ""),
"not_after": cert.get("not_after", ""),
"serial_number": cert.get("serial_number", ""),
})
return {
"domain": domain,
"total_certificates": len(certs),
"unique_domains": sorted(unique_domains),
"certificates": cert_info[:50],
}
return None
def monitor_new_certs(domains, interval_hours=1):
"""Monitor for newly issued certificates for a list of domains."""
from datetime import datetime, timedelta
cutoff = (datetime.utcnow() - timedelta(hours=interval_hours)).isoformat()
new_certs = []
for domain in domains:
result = search_ct_logs(domain)
if result:
for cert in result.get("certificates", []):
if cert.get("not_before", "") > cutoff:
new_certs.append({
"domain": domain,
"cert": cert,
})
return new_certs
from datetime import datetime
def build_infrastructure_timeline(indicators):
"""Build a timeline of infrastructure changes."""
timeline = []
for ind in indicators:
if "passive_dns" in ind:
for record in ind["passive_dns"]:
timeline.append({
"timestamp": record.get("firstSeen", ""),
"event": "dns_resolution",
"source": record.get("resolve", ""),
"target": record.get("value", ""),
"record_type": record.get("recordType", ""),
})
if "certificates" in ind:
for cert in ind["certificates"]:
timeline.append({
"timestamp": cert.get("not_before", ""),
"event": "certificate_issued",
"domain": cert.get("common_name", ""),
"issuer": cert.get("issuer", ""),
})
timeline.sort(key=lambda x: x.get("timestamp", ""))
return timeline