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Soroush Dalili | A web application security ninja 🥷 — 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
httpsecure.org ↗	68 match 2 shared topics	HTTPSecure - Community-Driven Security Test Cases	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyber-ops.co.uk ↗	68 match 2 shared topics	Independent, developer focussed penetration testing specialist for web, api and mobile security - Mothax Ltd.	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
anytechnos.com ↗	67 match 2 shared topics	Techy – IT Solution & Web Security React Template	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybxron.com ↗	66 match 2 shared topics	Cybxron \| Security & Engineering Studio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
enspire.lk ↗	66 match 2 shared topics	Enspire – Web Design & CCTV Security Solutions \| Sri Lanka	en	web-development Adobe Experience Manager	robotsllmsaihumans	email phone	partial · 8
mcneilcyber.com ↗	66 match 2 shared topics	McNeil Cyber \| Web Development & Cybersecurity	en	web-development	robotsllmsaihumans	emailphone	partial · 8
html5security.org ↗	66 match 2 shared topics	HTML5 Security Resources Repository	en	web-development	robotsllmsaihumans	emailphone	none
srachetrai.dev ↗	66 match 2 shared topics	Srachet Rai - Cybersecurity Specialist & Web Developer Portfolio	en	web-development	robotsllmsaihumans	emailphone	none
cwsecuredesigns.com ↗	66 match 2 shared topics	CW Secure Designs \| Web Design & Digital Security Consulting	en	web-development WordPress WooCommerce	robots llmsaihumans	emailphone	none
24sept.com ↗	65 match 2 shared topics	24Sept - Cybersecurity & Secure Development	en	web-development	robotsllmsaihumans	emailphone	none
https-hardening.com ↗	65 match 2 shared topics	Web Security Headers & HTTPS Hardening \| HTTPS Hardening	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0dayslash.com ↗	65 match 2 shared topics	0DaySlash — Web3 Security Audits	en	web-development	robotsllmsaihumans	emailphone	partial · 8
douglaskwarteng.com ↗	65 match 2 shared topics	Douglas Kwarteng \| Cybersecurity Engineer & Full-Stack Developer	United States~ en	web-development	robotsllmsaihumans	email phone	none
csp-generator.com ↗	65 match 2 shared topics	CSP Generator - Create Content Security Policy Online	en	information-and-network-security	robots llmsaihumans	emailphone	none
brighousesec.com ↗	65 match 2 shared topics	BrighouseSec \| Secure Websites & External Security Snapshots	en	web-development Spree Commerce	robotsllmsaihumans	emailphone	none
darahk.com ↗	65 match 2 shared topics	Dara Hedayat Kordestani - Professional Web Developer & Cybersecurity Expert	en	web-development WooCommerce	robotsllmsaihumans	emailphone	none
hephasec.com ↗	65 match 2 shared topics	HephaSec \| Web Development and Cybersecurity Services for Small Business	en	web-development WordPress	robotsllmsaihumans	emailphone	none
mcybernix.com ↗	64 match 2 shared topics	MCybernix Solutions - Premier IT Services & Cybersecurity Solutions	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.