autohandai Performing IP Reputation Analysis with Shodan
Overview
Shodan is the world's first search engine for internet-connected devices, continuously scanning the IPv4 and IPv6 address space to catalog open ports, running services, SSL certificates, and known vulnerabilities. This skill covers using the Shodan API and InternetDB free API to enrich IP addresses from security alerts, assess threat levels based on exposed services and vulnerabilities, identify hosting infrastructure patterns, and integrate IP reputation data into SOC triage and threat intelligence workflows.
Prerequisites
- Python 3.9+ with
shodanlibrary (pip install shodan) - Shodan API key (free tier: limited queries; paid plans for higher limits and streaming)
- Understanding of TCP/UDP ports, common services, and CVE identifiers
- Familiarity with ASN, CIDR notation, and IP geolocation concepts
- Network security knowledge for interpreting scan results
Key Concepts
Shodan Data Model
Each IP record in Shodan contains: open ports and protocols, banner data (service responses), SSL/TLS certificate details, known CVE vulnerabilities, hostname(s) and reverse DNS, ASN and ISP information, geographic location, operating system fingerprint, and historical scan data showing changes over time.
InternetDB API
Shodan's free InternetDB API (internetdb.shodan.io) provides quick IP lookups without authentication, returning open ports, hostnames, tags, CPEs, and known vulnerabilities. This is useful for high-volume enrichment where the full Shodan API would hit rate limits.
Reputation Scoring
IP reputation is assessed by combining: number and type of open ports (unusual ports indicate compromise), vulnerable services (unpatched software with known CVEs), hosting type (residential, cloud, VPN/proxy, bulletproof hosting), historical activity (past associations with malware, scanning, spam), and geographic context (countries known for specific threat activity).
Practical Steps
Step 1: Basic IP Enrichment with Shodan API
import shodan
import json
from datetime import datetime
class ShodanEnricher:
def __init__(self, api_key):
self.api = shodan.Shodan(api_key)
self.info = self.api.info()
print(f"[+] Shodan API initialized. Credits: {self.info.get('scan_credits', 0)}")
def enrich_ip(self, ip_address):
"""Full enrichment of an IP address via Shodan."""
try:
host = self.api.host(ip_address)
enrichment = {
"ip": ip_address,
"organization": host.get("org", ""),
"asn": host.get("asn", ""),
"isp": host.get("isp", ""),
"country": host.get("country_name", ""),
"country_code": host.get("country_code", ""),
"city": host.get("city", ""),
"latitude": host.get("latitude"),
"longitude": host.get("longitude"),
"os": host.get("os", ""),
"ports": host.get("ports", []),
"hostnames": host.get("hostnames", []),
"domains": host.get("domains", []),
"vulns": host.get("vulns", []),
"tags": host.get("tags", []),
"last_update": host.get("last_update", ""),
"services": [],
}
for service in host.get("data", []):
svc = {
"port": service.get("port", 0),
"transport": service.get("transport", "tcp"),
"product": service.get("product", ""),
"version": service.get("version", ""),
"module": service.get("_shodan", {}).get("module", ""),
"banner": service.get("data", "")[:200],
}
if "ssl" in service:
svc["ssl_subject"] = service["ssl"].get("cert", {}).get("subject", {})
svc["ssl_issuer"] = service["ssl"].get("cert", {}).get("issuer", {})
svc["ssl_expires"] = service["ssl"].get("cert", {}).get("expires", "")
enrichment["services"].append(svc)
# Calculate reputation score
enrichment["reputation"] = self._calculate_reputation(enrichment)
print(f"[+] {ip_address}: {len(enrichment['ports'])} ports, "
f"{len(enrichment['vulns'])} vulns, "
f"reputation: {enrichment['reputation']['level']}")
return enrichment
except shodan.APIError as e:
print(f"[-] Shodan error for {ip_address}: {e}")
return None
def _calculate_reputation(self, data):
"""Calculate IP reputation score based on Shodan data."""
score = 0
factors = []
# Vulnerability assessment
vuln_count = len(data.get("vulns", []))
if vuln_count > 10:
score += 40
factors.append(f"{vuln_count} known vulnerabilities")
elif vuln_count > 5:
score += 25
factors.append(f"{vuln_count} known vulnerabilities")
elif vuln_count > 0:
score += 10
factors.append(f"{vuln_count} known vulnerabilities")
# Suspicious port analysis
suspicious_ports = {4444, 5555, 6666, 8888, 9090, 1234, 31337,
6667, 6697, 8080, 8443, 3128, 1080}
open_ports = set(data.get("ports", []))
sus_found = open_ports.intersection(suspicious_ports)
if sus_found:
score += 15
factors.append(f"suspicious ports: {sus_found}")
# Tag-based assessment
malicious_tags = {"self-signed", "cloud", "vpn", "proxy", "tor"}
tags = set(data.get("tags", []))
mal_tags = tags.intersection(malicious_tags)
if mal_tags:
score += 10
factors.append(f"tags: {mal_tags}")
# Too many open ports
port_count = len(data.get("ports", []))
if port_count > 20:
score += 15
factors.append(f"excessive open ports ({port_count})")
level = (
"critical" if score >= 50
else "high" if score >= 35
else "medium" if score >= 15
else "low"
)
return {"score": score, "level": level, "factors": factors}
def enrich_ip_free(self, ip_address):
"""Quick IP enrichment using free InternetDB API."""
import requests
resp = requests.get(f"https://internetdb.shodan.io/{ip_address}", timeout=10)
if resp.status_code == 200:
data = resp.json()
print(f"[+] InternetDB: {ip_address} -> "
f"{len(data.get('ports', []))} ports, "
f"{len(data.get('vulns', []))} vulns")
return data
return None
enricher = ShodanEnricher("YOUR_SHODAN_API_KEY")
result = enricher.enrich_ip("8.8.8.8")
print(json.dumps(result, indent=2, default=str))
Step 2: Batch IP Reputation Check
import time
def batch_ip_reputation(enricher, ip_list, output_file="ip_reputation.json"):
"""Check reputation for a list of IP addresses."""
results = []
for i, ip in enumerate(ip_list):
result = enricher.enrich_ip(ip)
if result:
results.append(result)
if (i + 1) % 10 == 0:
print(f" [{i+1}/{len(ip_list)}] Processed")
time.sleep(1) # Rate limiting
# Sort by reputation score (highest risk first)
results.sort(key=lambda x: x.get("reputation", {}).get("score", 0), reverse=True)
with open(output_file, "w") as f:
json.dump(results, f, indent=2, default=str)
# Summary
levels = {"critical": 0, "high": 0, "medium": 0, "low": 0}
for r in results:
level = r.get("reputation", {}).get("level", "low")
levels[level] += 1
print(f"\n=== Batch Reputation Summary ===")
print(f"Total IPs: {len(results)}")
for level, count in levels.items():
print(f" {level.upper()}: {count}")
return results
suspicious_ips = ["203.0.113.1", "198.51.100.5", "192.0.2.100"]
results = batch_ip_reputation(enricher, suspicious_ips)
Step 3: Infrastructure Correlation
def correlate_infrastructure(enricher, ip_address):
"""Find related infrastructure based on shared attributes."""
host_data = enricher.enrich_ip(ip_address)
if not host_data:
return {}
correlations = {
"same_org": [],
"same_asn": [],
"shared_ssl": [],
}
# Search for same organization
org = host_data.get("organization", "")
if org:
try:
results = enricher.api.search(f'org:"{org}"', limit=20)
for match in results.get("matches", []):
correlations["same_org"].append({
"ip": match.get("ip_str", ""),
"port": match.get("port", 0),
"product": match.get("product", ""),
})
except shodan.APIError:
pass
# Search for same SSL certificate
for service in host_data.get("services", []):
ssl_subject = service.get("ssl_subject", {})
if ssl_subject:
cn = ssl_subject.get("CN", "")
if cn:
try:
results = enricher.api.search(f'ssl.cert.subject.CN:"{cn}"', limit=20)
for match in results.get("matches", []):
correlations["shared_ssl"].append({
"ip": match.get("ip_str", ""),
"cn": cn,
})
except shodan.APIError:
pass
print(f"[+] Infrastructure correlations for {ip_address}:")
print(f" Same org: {len(correlations['same_org'])} hosts")
print(f" Shared SSL: {len(correlations['shared_ssl'])} hosts")
return correlations
Validation Criteria
- Shodan API queried successfully with proper authentication
- IP enrichment returns ports, services, vulnerabilities, and geolocation
- Reputation scoring classifies IPs by threat level
- Batch enrichment handles rate limiting correctly
- Infrastructure correlation identifies related hosts
- InternetDB free API used for high-volume lookups