Sublist3r can utilize multiple search engines for subdomain discovery.

Sublist3r can utilize multiple search engines for subdomain discovery.

• A. It uses a single search engine by default.
• B. It uses no search engines.
• C. It can utilize multiple search engines for subdomain discovery.
• D. It relies only on DNS records.

Answer: (C)

Subdomain discovery is most effective when you pull data from several sources, not just one. Sublist3r is built to query multiple search engines to surface subdomains for a target domain. Each search engine indexes the web a bit differently, so some subdomains appear in one engine but not another. By using several engines, Sublist3r collects a broader set of subdomains and reduces the chance of missing important ones. You can choose which engines to use, and by default it leverages several to maximize results. That’s why this option is the best fit: it reflects the tool’s multi-engine approach. The other statements miss the fact that Sublist3r relies on search engines (not none) and goes beyond DNS records to uncover subdomains.

Subdomain discovery is most effective when you pull data from several sources, not just one. Sublist3r is built to query multiple search engines to surface subdomains for a target domain. Each search engine indexes the web a bit differently, so some subdomains appear in one engine but not another. By using several engines, Sublist3r collects a broader set of subdomains and reduces the chance of missing important ones. You can choose which engines to use, and by default it leverages several to maximize results. That’s why this option is the best fit: it reflects the tool’s multi-engine approach. The other statements miss the fact that Sublist3r relies on search engines (not none) and goes beyond DNS records to uncover subdomains.