similar sites

Browse

Tools

🚀Submit Your Site to AIPush your URL to AI search engines 🤖AI Crawler CheckerSee which AI bots your site blocks 🎯AI Readiness CheckerScore your site 0–100 for AI 🔗Backlink CheckerWho links to any site — free All tools →

Sites similar to websecuritylabs.com

Websecuritylabs alternatives & similar sites

Web Security Labs - Advanced Web Exploitation and Defense | Web Security 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
checksecurityheaders.com ↗	67 match 2 shared topics	Check Security Headers - Analyze HTTP Security Headers	en	information-and-network-security	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
httpfu.com ↗	66 match 2 shared topics	Soroush Dalili \| A web application security ninja 🥷	en	information-and-network-security	robotsllmsaihumans	emailphone	none
html5security.org ↗	66 match 2 shared topics	HTML5 Security Resources Repository	en	web-development	robotsllmsaihumans	emailphone	none
abhishekoncrack.com ↗	66 match 2 shared topics	Abhishek Verma – Securing Success: Expert Development and Cybersecurity Solutions	en	web-development	robotsllmsaihumans	emailphone	none
httpsecure.org ↗	66 match 2 shared topics	HTTPSecure - Community-Driven Security Test Cases	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
https-hardening.com ↗	65 match 2 shared topics	Web Security Headers & HTTPS Hardening \| HTTPS Hardening	en	information-and-network-security	robotsllmsaihumans	emailphone	none
chandanapathirage.com ↗	65 match 2 shared topics	Chandana Pathirage \| Software Engineer & Security Researcher	en	web-development	robotsllmsaihumans	emailphone	none
gtaylorgroup.com ↗	65 match 2 shared topics	George A Taylor \| Software Engineer & Security Researcher	en	web-development	robotsllmsaihumans	email phone	none
rawaz.me ↗	65 match 2 shared topics	Rawaz Mahmood \| Security Researcher & Web Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
24sept.com ↗	65 match 2 shared topics	24Sept - Cybersecurity & Secure Development	en	web-development	robotsllmsaihumans	emailphone	none
karimsaad.dev ↗	65 match 2 shared topics	Karim Saad - Cybersecurity Specialist & Full-Stack Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybxron.com ↗	64 match 2 shared topics	Cybxron \| Security & Engineering Studio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
twistedsquaredesign.com ↗	64 match 2 shared topics	Twisted Square Design — Security Engineering & Web Performance	en	web-development	robotsllmsaihumans	emailphone	none
cybercloud.pro ↗	64 match 2 shared topics	Mauricio Troche \| Cybersecurity & Cloud Development Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0dayslash.com ↗	64 match 2 shared topics	0DaySlash — Web3 Security Audits	en	web-development	robotsllmsaihumans	emailphone	partial · 8
shafiqm.com ↗	64 match 2 shared topics	Muyivu Shafiq – Web Architect & Security Researcher	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
vandevyvre.be ↗	64 match 2 shared topics	Orvo – Cyber Security / Web Productions / Data Analysis	Belgium en	information-and-network-security WordPress	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.