domain-intel

Passive domain reconnaissance is achievable using only the Python standard library to query Certificate Transparency logs, DNS records, and WHOIS data without requiring any external API keys.

Yes, bulk WHOIS and DNS lookups can be run across multiple domains simultaneously. The script processes batches of domains to extract registrar details, name servers, and record types like A, MX, and TXT into structured JSON outputs.

Subdomains are discovered by querying Certificate Transparency logs via Python stdlib. This passive OSINT technique extracts Subject Alternative Names and certificate data to enumerate subdomains without active scanning.

Python standard library supports fetching SSL certificate data including expiry dates, cipher information, and issuer details. This deterministic inspection works without external dependencies or API authentication keys.

Domain availability analysis is checked by combining DNS resolution, WHOIS registration data, and SSL certificate signals. This passive approach assesses whether a domain is registered and active without active network scanning.

Passive OSINT domain intelligence limitations include reliance on publicly available data like Certificate Transparency logs and standard DNS queries. It avoids active scanning, meaning it may miss unlisted subdomains or firewall-protected internal records.