domain-intel

Passive domain intelligence gathering can be performed using Python standard library to inspect WHOIS records, DNS data, and Certificate Transparency logs without external APIs. It requires no API keys and outputs structured JSON.

Yes, subdomain discovery is possible using only Python's standard library by querying Certificate Transparency logs and DNS data. The script works offline across Linux, macOS, and Windows with zero external dependencies.

Bulk multi-domain analysis is executed by running the Python script to collect DNS records, SSL certificates, and WHOIS data. It processes multiple domains simultaneously and emits structured JSON for all outputs.

No, this WHOIS lookup approach requires zero API keys or third-party libraries. It operates entirely offline using Python's built-in standard library to gather domain data and perform passive reconnaissance.

The best way to check domain availability and inspect TLS certificates is using a zero-dependency Python script. It performs passive checks and extracts SSL data directly through standard library network functions.

Limitations of OSINT domain reconnaissance using Python stdlib include passive data collection only, meaning no active port scanning. It relies entirely on standard library network functions and public transparency logs.