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Anti-Abuse for Developers — 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
0detect.com ↗	66 match 1 shared topics	Antidetect browser for multi-accounting - 0DETECT Antidetect	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
fetlla.com ↗	66 match 1 shared topics	Fetlla - Developing the Future, Securing the Present	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thiagovono.com ↗	66 match 1 shared topics	Thiago Vono — Actor \| Cybersecurity Specialist \| App Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
touficmajdalani.com ↗	66 match 1 shared topics	Toufic Majdalani \| Security Software Engineer & Linux Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatrepel.com ↗	66 match 1 shared topics	ThreatRepel \| Application Security Experts for Startups & SMBs	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
lydiahmuigwa.com ↗	65 match 1 shared topics	Lydiah Muigwa \| Cybersecurity & Digital Development	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
net-connect.co.uk ↗	65 match 1 shared topics	NetConnect - Security and Communications for Business	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
industrialcybersec.eu ↗	65 match 1 shared topics	Cybersecurity Services for Industry \| Secudea	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
badprofessor.com ↗	65 match 1 shared topics	Joshua Morgan - Information Security Professional and Instructor — ilovesec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
improveyourseclife.com ↗	65 match 1 shared topics	Joshua Morgan - Information Security Professional and Instructor — ilovesec	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abloy.group ↗	65 match 1 shared topics	Home \| ABLOY for Trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thinkdatamotion.org ↗	65 match 1 shared topics	Secure Data Exchange for Regulated Organizations \| DataMotion	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
24-70mm.com ↗	65 match 1 shared topics	24-70MM \| IT Consulting, Development, Automation & Security	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
onesavie.com ↗	65 match 1 shared topics	OneSavieLab – Develop risk rating and risk management solutions to make Web3 safe and easily accessible for everyone	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fernandoalzateocampo.com ↗	65 match 1 shared topics	Fernando Alzate Ocampo - Cybersecurity & Software Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
medsecmeeting.org ↗	64 match 1 shared topics	MEDSec: A Medical Device Cybersecurity Conference	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0spam.org ↗	64 match 1 shared topics	0spam Project \| Anti-Spam Solutions for ESPs & ISPs. \| 0spam Project	en	information-and-network-security	robotsllmsaihumans	emailphone	none
totolabs.org ↗	64 match 1 shared topics	TOTO Labs · Autonomous Defense for Critical Infrastructure	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.