When people talk about cyberspace search engines, Shodan is often labeled the "pioneer." But if you want to turn "massive data" into "actionable intelligence," ZoomEye will make you rethink what "popular" means. It's not only broad in coverage and fast in updates — it also packages common scenarios into datasets and modularizes bug-bounty workflows. In short, the tool evolves from "finding" to "operationalizing."
ZoomEye's official datasets have already organized common targets (popular apps, industry camera samples, conflict-zone monitoring data, etc.), so you can load and analyze immediately without stitching together countless query expressions: https://www.zoomeye.ai/datasets
For Bug Bounty hunters, ZoomEye's bounty section is especially useful: it integrates with major bounty platforms, offers dynamic monitoring of target assets, alerts for newly added subdomains/services, and provides API integration — turning "waiting for tasks" into "actively discovering opportunities." Combined with CVE-based searching, you can quickly locate affected assets and prioritize patching — a direct leap in efficiency. I personally tried a 15-day Pro trial and found the search speed and field completeness notably better than my previous workflows.
Below are some common combined queries:
Corporate asset inventory: find Nginx sites under a domain
site="example.com" && app="nginx"Network block check: locate hosts exposing SSH in a CIDR
cidr="203.0.113.0/24" && port=22Integrate with Nuclei for targeted scanning
nuclei -t http/cves/2025/CVE-2025-××××.yaml -uncover-engine zoomeye -uncover-query 'is_bugbounty=true && vul.cve="CVE-2025-××××"'Quick BugBounty filter combined with CVE
is_bugbounty=true && vul.cve="CVE-2025-53770"
ZoomEye's map is still vast, and I'm only slowly exploring it. If you discover any interesting tricks or useful queries, remember to tell me — I'd love to include your findings in my next update.
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