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Embersecurity alternatives & similar sites

Ember Security — Web3 Smart Contract Audits — 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
eftfile.com ↗	77 match 1 shared topics	Smart Contract Audits by SourceHat	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xram.com ↗	76 match 1 shared topics	0xRAM Labs \| Tier-1 Smart Contract Auditing & Web3 Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xwalterwhitehat.com ↗	76 match 1 shared topics	0xWalterWhiteHat \| Smart Contract Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xlabs.ai ↗	73 match 1 shared topics	0xLabs \| Web3 Security Audit Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xweiss.com ↗	73 match 1 shared topics	0xWeiss - Security Researcher & Auditor	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ekeneharrison.com ↗	72 match 1 shared topics	ekeneharrison – Security Research and web3 Smart Contract	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	none
mckinleysinternational.com ↗	71 match 1 shared topics	McKinley's Technologies \| Smart Contract Audit and Blockchain Security Firm	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cqr.company ↗	71 match 1 shared topics	CQR \| Cybersecurity Services \| Penetration Testing \| Smart Contract Audit \| Blockchain Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dcypher.uk ↗	71 match 1 shared topics	dcypher — Cyber Security Consultancy	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
amlsec.pro ↗	71 match 1 shared topics	Web3 Security Audits, Monitoring, and Risk Prevention - BlockSec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityconference.co.uk ↗	70 match 1 shared topics	Cyber Security Conference 2026	United Kingdom en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
vodote.com ↗	70 match 1 shared topics	We secure your business - Cyber Security Solution	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agento.quest ↗	70 match 1 shared topics	Agento \| Autonomous Web3 Security & Circuit Breaker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4foxsec.com ↗	70 match 1 shared topics	4FOX Security - Expert Cyber Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rotzsec.com ↗	69 match 1 shared topics	Rotzsec \| Cyber Security Experts	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
spartan-conseil.com ↗	69 match 1 shared topics	Spartan Conseil — Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
helix-foundation.com ↗	69 match 1 shared topics	HELIX Chain — AI-Native Smart Contract Defense	en	information-and-network-security	robotsllmsaihumans	emailphone	none
routersecurity.org ↗	69 match 1 shared topics	Router Security	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.