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clone-DDOS — global intrusion detection — 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
cymost.ai ↗	70 match 1 shared topics	Cymost — Breach detection & response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
24start.com ↗	68 match 1 shared topics	X•Proximity Cell Phone Detection - X-Proximity	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 8
1ondizayn.com ↗	67 match 1 shared topics	Bot Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
a-1hobby.com ↗	67 match 1 shared topics	Bot Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trapwire.com ↗	67 match 1 shared topics	TrapWire \| Threat Detection and Protective Intelligence	en	information-and-network-security WordPress	robots llmsaihumans	email phone	none
abusemanager.com ↗	67 match 1 shared topics	Domain Abuse Monitoring Software - Real-time Threat Detection \| iQ Global	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dotnil.com ↗	67 match 1 shared topics	DOTNIL Shield \| Global VVIP Protection & Elite Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dpm-eu.com ↗	66 match 1 shared topics	Holistic Data Protection \| Global Expertise \| Resilient Growth	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
chooseelastio.com ↗	66 match 1 shared topics	Ransomware Detection and Provable Recovery \| Elastio	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
mine2.io ↗	66 match 1 shared topics	MINE2 - Cyber Deception & Threat Detection Platform	IN~ en	information-and-network-security	robots llmsaihumans	emailphone	none
trapnet.io ↗	66 match 1 shared topics	TrapNET \| Draw attackers out into the open with intrusion-based detection and contextual intelligence	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
rocketcyber.com ↗	66 match 1 shared topics	MDR Services - Managed Detection and Response \| Kaseya	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abyssguard.com ↗	66 match 1 shared topics	AbyssGuard \| Website Protection API & Threat Detection	en	information-and-network-security PrestaShop	robotsllmsaihumans	emailphone	none
cyberseer.co.uk ↗	66 match 1 shared topics	Cyberseer - Advanced Threat Detection Solutions and Service	GB en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
detectionengineering.io ↗	66 match 1 shared topics	Detection Engineering Maturity Matrix	en	information-and-network-security	robotsllmsaihumans	emailphone	none
yourillumioinvites.com ↗	66 match 1 shared topics	Breach Containment & AI Cloud Detection and Response \| Illumio	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
yourillumioevent.com ↗	66 match 1 shared topics	Breach Containment & AI Cloud Detection and Response \| Illumio	US~ en	information-and-network-security	robots llmsaihumans	emailphone	none
yourillumioinvite.com ↗	66 match 1 shared topics	Breach Containment & AI Cloud Detection and Response \| Illumio	US~ 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.