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Blockbug alternatives & similar sites

BLOCK BUG - Web3 Security & Infrastructure — 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
0xlabs.ai ↗	72 match 1 shared topics	0xLabs \| Web3 Security Audit Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
corefix.dev ↗	72 match 1 shared topics	Corefix-Secure modern infrastructure.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
backbonix.com ↗	71 match 1 shared topics	BackBonix - Professional IT Infrastructure & Network Security Solutions	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
adlee.work ↗	71 match 1 shared topics	A.D. Lee \| Senior TAM \| Infrastructure & Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
core-api.dev ↗	71 match 1 shared topics	dewa - Secure Digital Identity Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
a2z.expert ↗	70 match 1 shared topics	A2Z.Expert \| Enterprise Security, Fire Safety & Infrastructure Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mechanisms.app ↗	70 match 1 shared topics	mechanisms.app — Secure Alert Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcybr.net ↗	70 match 1 shared topics	Monarch Cyber Strategies \| Precision Security for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcybr.com ↗	70 match 1 shared topics	Monarch Cyber Strategies \| Precision Security for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bailsec.io ↗	70 match 1 shared topics	Smart Contract Audits & Web3 Security \| BailSec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackthorn-group.com ↗	70 match 1 shared topics	Blackthorn Group — Safety Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xweiss.com ↗	69 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lynexn.com ↗	69 match 1 shared topics	Lynexn - Modern Digital Infrastructure	en	information-and-network-security Lightspeed	robotsllmsaihumans	emailphone	none
oneworldinfotech.com ↗	69 match 1 shared topics	OneWorld InfoTech \| Cyber Security, Digital Transformation and Data Center/IT Infrastructure Technologies	en	information-and-network-security	robotsllmsaihumans	email phone	none
oneworldinfotech.net ↗	69 match 1 shared topics	OneWorld InfoTech \| Cyber Security, Digital Transformation and Data Center/IT Infrastructure Technologies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
inboxanchorbrowser.com ↗	69 match 1 shared topics	Anchor - Secure Infrastructure for Computer Use Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
antiphishing.biz ↗	69 match 1 shared topics	Enterprise-Grade Infrastructure Security & Link Integrity Verification - Antiphishing.biz	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mcpki.org ↗	69 match 1 shared topics	MCPKI - Model Context Public Key Infrastructure	en	information-and-network-security	robotsllmsaihumans	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.