domain-intel

You can perform passive domain reconnaissance without API keys by using Python stdlib to query Certificate Transparency logs for subdomains, inspect SSL certificates, fetch WHOIS data, and resolve DNS records. This approach returns structured JSON output for security and infrastructure profiling.

To gather SSL certificate and WHOIS data in bulk, you can run a Python stdlib script that iterates through a list of target domains. The process queries registrar information, certificate expiry dates, issuers, and SANs, returning a consolidated structured JSON output for bulk analysis.

Yes, you can discover subdomains using only Python standard library modules by querying Certificate Transparency logs. This passive OSINT technique retrieves historical SSL certificate issuance data to map subdomains without requiring third-party APIs or external dependencies.

A pure Python stdlib OSINT script can resolve A, AAAA, MX, NS, TXT, and CNAME DNS records. By querying these record types directly, the script gathers comprehensive domain infrastructure data and returns it within a structured JSON profile.

Yes, domain OSINT tools built on Python stdlib work for both single domain profiling and bulk analysis. They efficiently retrieve subdomain, SSL, WHOIS, and DNS data for individual security checks or large-scale infrastructure research scenarios.

You should use Python stdlib for OSINT when you need a dependency-free, keyless approach to domain profiling. It is ideal for restricted environments where installing external packages is impossible, though it may lack rate-limit handling compared to managed APIs.