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Webverselabs alternatives & similar sites

WebVerse Pro — Real Web Hacking Labs — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
0day.net ↗	66 match 1 shared topics	DEF CON® Hacking Conference Home	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 20
0xnotes.site ↗	66 match 1 shared topics	0xNotes — HTB Writeups & Ethical Hacking Notes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	66 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xffsec.com ↗	65 match 1 shared topics	0xffsec \| Full stack hacking.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
imraflip.com ↗	65 match 1 shared topics	Rafli Permana — Penetration Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xrelayguard.com ↗	65 match 1 shared topics	RelayGuard — Reliable, secure RPC for production Web3	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackhattool.com ↗	65 match 1 shared topics	BlackHatTool.com \| Download Best Hacking Tools	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
0block.org ↗	65 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3gisecure.com.pe ↗	65 match 1 shared topics	3G ISecure \| Ethical Hacking y Ciberseguridad	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blokkvpn.com ↗	65 match 1 shared topics	BLOKK - Tracking Blocker, Privacy VPN, Data Protection	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
onsecops.com ↗	64 match 1 shared topics	OnSecOps — Penetration Testing & Application Security for Startups	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sandiegocybersecurityservices.com ↗	64 match 1 shared topics	San Diego Cybersecurity Services — Protect Your Business	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackboxsecurity.tech ↗	64 match 1 shared topics	BlackBox Security — IT & Cybersecurity, Kingston JM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakrfayez.com ↗	64 match 1 shared topics	Bakr Fayez — Cybersecurity Expert & Senior Backend Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
corvex-lab.com ↗	64 match 1 shared topics	Corvex Lab \| Engineering Cybersecurity for the Long Game	MY~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bloodstiller.com ↗	64 match 1 shared topics	Bloodstiller: Ethical Hacking & Active Directory Security Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
incetrix.com ↗	64 match 1 shared topics	INCETRIX \| Advanced Cybersecurity & VAPT Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1pentesting.com ↗	64 match 1 shared topics	1PenTesting — Penetration Testing That Actually Helps You Fix Things	en	information-and-network-security	robots llmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.