菜单
威胁行为者基础设施追踪涉及使用被动 DNS、证书透明度日志、Shodan/Censys 扫描、WHOIS 分析和网络指纹技术，对对手控制的 C2 服务器、钓鱼域名和暂存服务器等资产进行监控、映射和持续追踪
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基于 SOC 职业分类
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| name | tracking-threat-actor-infrastructure |
| description | 威胁行为者基础设施追踪涉及使用被动 DNS、证书透明度日志、Shodan/Censys 扫描、WHOIS 分析和网络指纹技术，对对手控制的 C2 服务器、钓鱼域名和暂存服务器等资产进行监控、映射和持续追踪 |
| 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 |
威胁行为者基础设施追踪涉及监控和映射对手控制的资产，包括命令与控制（C2）服务器、钓鱼（Phishing）域名、漏洞利用工具包宿主、防弹托管（Bulletproof Hosting）和暂存服务器。本技能涵盖使用被动 DNS（Passive DNS）、证书透明度（Certificate Transparency）日志、Shodan/Censys 扫描、WHOIS 分析和网络指纹技术，随时间推移发现、追踪和跨威胁行为者基础设施进行关联分析。
shodan、censys、requests、stix2 库关联分析是利用一个已知指标发现相关基础设施的技术。从已知的 C2 IP 地址出发，分析师可通过以下方式进行关联：被动 DNS（发现域名）、反向 WHOIS（发现相关注册信息）、SSL 证书（发现共享证书）、SSH 密钥指纹、HTTP 响应指纹、JARM/JA3S 哈希，以及 WHOIS 注册人数据。
被动 DNS 数据库记录在递归解析器处观测到的 DNS 查询/响应数据。这允许分析师查找历史域名到 IP 的映射、发现托管在已知 C2 IP 上的域名，以及识别快速流量（Fast-Flux）或域名生成算法（DGA）行为。
证书透明度（CT）日志公开记录 CA 机构签发的所有 SSL/TLS 证书。监控 CT 日志可以发现为可疑域名注册的新证书，有助于在 C2 基础设施激活前识别钓鱼站点。
import shodan
api = shodan.Shodan("YOUR_SHODAN_API_KEY")
def discover_infrastructure(ip_address):
"""发现目标 IP 的服务和元数据。"""
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", ),
: svc.get(, {}).get(, {}).get(, {}),
: svc.get(, {}).get(, ),
}
svc host.get(, [])
],
}
shodan.APIError e:
()
():
c2_queries = {
: ,
: ,
: ,
: ,
: ,
}
query = c2_queries.get(framework_name.lower(), framework_name)
results = api.search(query, limit=)
hosts = []
results.get(, []):
hosts.append({
: [],
: [],
: .get(, ),
: .get(, {}).get(, ),
: .get(, ),
: .get(, ),
})
hosts
import requests
def passive_dns_lookup(indicator, api_key, indicator_type="ip"):
"""通过 SecurityTrails 查询被动 DNS 记录。"""
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):
"""通过 PassiveTotal 查询被动 DNS 和 WHOIS 数据。"""
base_url = "https://api.passivetotal.org/v2"
auth = (user, api_key)
# 被动 DNS 查询
pdns_resp = requests.get(
f"{base_url}/dns/passive",
params={"query": indicator},
auth=auth,
timeout=30,
)
# WHOIS 查询
whois_resp = requests.get(
f"{base_url}/whois",
params={"query": indicator},
auth=auth,
timeout=30,
)
results = {}
pdns_resp.status_code == :
results[] = pdns_resp.json().get(, [])
whois_resp.status_code == :
results[] = whois_resp.json()
results
import requests
def search_ct_logs(domain):
"""通过 crt.sh 搜索证书透明度日志。"""
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],
}
():
datetime datetime, timedelta
cutoff = (datetime.utcnow() - timedelta(hours=interval_hours)).isoformat()
new_certs = []
domain domains:
result = search_ct_logs(domain)
result:
cert result.get(, []):
cert.get(, ) > cutoff:
new_certs.append({
: domain,
: cert,
})
new_certs
from datetime import datetime
def build_infrastructure_timeline(indicators):
"""构建基础设施变化时间线。"""
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", ))
timeline