curl "https://domscan.net/v1/graph?domain=example.com"
Example Response
{
"domain": "example.com",
"connections": {
"by_nameserver": ["example.net", "example.org"],
"by_mx": ["example-mail.com"],
"by_ip": ["example-cdn.com"],
"by_registrant": ["example-corp.com"],
"by_analytics": ["example-blog.com"],
"by_ssl_issuer": ["example-secure.com"]
},
"connection_count": 6,
"infrastructure": {
"nameservers": ["ns1.example.com", "ns2.example.com"],
"mx_servers": ["mail.example.com"],
"ip_addresses": ["93.184.216.34"]
},
"confidence_scores": {
"same_owner": 0.95,
"related_business": 0.78
}
}
Key Features
Infrastructure Mapping
Discover domains sharing NS, MX, or IP.
Registrant Connections
Find domains with same registration details.
Analytics Tracking
Connect domains via shared tracking codes.
SSL Certificate Links
Find domains on same SSL certificates.
Ownership Confidence
AI-powered same-owner probability scoring.
Business Relationships
Detect likely business affiliations.
Hidden Asset Discovery
Uncover undisclosed domain portfolios.
Fraud Investigation
Trace connected domains in fraud networks.
Frequently Asked Questions
We analyze multiple signals: shared nameservers, mail servers, IP addresses, WHOIS data, SSL certificates, analytics IDs, and historical DNS records.
Our ML model assigns probability scores indicating likelihood of same ownership or business relationship based on infrastructure overlap patterns.
Yes, domain graph analysis often reveals domains not publicly associated with an organization but connected through shared infrastructure.
Absolutely. Security teams use graph analysis for threat intelligence, fraud investigation, phishing infrastructure mapping, and attack surface discovery.
Map Domain Relationships
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