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Maloader - Professional Load Testing Platform — 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
frenos.io ↗	69 match 2 shared topics	Frenos: Simulated OT Penetration Testing Platform	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
mattermost.info ↗	67 match 2 shared topics	Mattermost \| Collaboration Platform for Mission Critical Work	United States~ en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
dbugging.com ↗	67 match 2 shared topics	Dbugging - CYBER SECURITY PLATFORM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bereketakiso.com ↗	66 match 2 shared topics	Bereket Takiso - Cybersecurity Professional	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mdminhazulhaque.io ↗	66 match 2 shared topics	Md. Minhazul Haque \| Platform Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
attacksurface.center ↗	65 match 2 shared topics	External Attack Surface Management Platform \| Attack Surface Center	en	information-and-network-security	robotsllmsaihumans	emailphone	none
squad1.io ↗	65 match 2 shared topics	Unified RBVM Platform \| Prioritize Real Risk with SQUAD1	en	technology-and-computing	robotsllmsaihumans	emailphone	none
zrouga.com ↗	65 match 2 shared topics	Mohamed Zrouga — Platform Engineer & Python/Go Developer \| London, UK	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
arkteam.xyz ↗	65 match 2 shared topics	ArkSentry \| Penetration Testing for Modern Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
klevinkona.com ↗	65 match 2 shared topics	KlevinKona.com - Big or small, every job is important and deserves professionalism and passion to ensure the clients satisfaction.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	partial · 8
marketsex-pro.club ↗	64 match 2 shared topics	Platform Upgrade	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
squr.ai ↗	64 match 2 shared topics	SQUR - Autonomous Pentesting in 24h \| Web & API Pentest	Germany~ en	information-and-network-security	robots llmsaihumans	emailphone	none
betastudio.com ↗	64 match 2 shared topics	BetaStudio.com — Cyber Labs, Beta Testing, Security Tools & Software News	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deepengine.com ↗	64 match 2 shared topics	Home \| Deepengine – one platform to find and manage vulnerabilities	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
deepengine.io ↗	64 match 2 shared topics	Home \| Deepengine – one platform to find and manage vulnerabilities	en	information-and-network-security Storyblok	robotsllmsaihumans	emailphone	none
teravul.com ↗	64 match 2 shared topics	Teravul — DevSecOps Vulnerability Management Platform \| Scan, Prioritize, Remediate	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
lyfe.ninja ↗	64 match 2 shared topics	BlkSeal \| Content Integrity & Verification Platform \| lyfe.ninja	en	information-and-network-security	robotsllmsaihumans	emailphone	none
testalways.com ↗	64 match 2 shared topics	Testing and security	en	technology-and-computing	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.