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Arthur Tilman | Cybersecurity - Penetration Tester — 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
badlocksecurity.com ↗	78 match 1 shared topics	BadLock Security - Penetration Testing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mistan.dev ↗	75 match 1 shared topics	Mistan Khomdram — Cybersecurity Analyst & Penetration Tester	en	information-and-network-security	robots llmsaihumans	emailphone	none
corestrikesecure.com ↗	75 match 1 shared topics	CoreStrikeSecure \| Cybersecurity Services & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackethics.dev ↗	74 match 1 shared topics	Md Abu Saeed \| Penetration Tester & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
impactwave.io ↗	73 match 1 shared topics	ImpactWave Security - Professional Penetration Testing Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackflag-sec.com ↗	73 match 1 shared topics	Black Flag Security Group - Veteran-Owned Cybersecurity & Penetration Testing	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackowlsec.com ↗	73 match 1 shared topics	BlackOwlSec - IT Security Consulting - Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
santiagopassafiume.com ↗	72 match 1 shared topics	Santiago Passafiume — Penetration Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
penetration-test.co.uk ↗	72 match 1 shared topics	Mongoose Cyber Security \| CREST Penetration Testing & Corporate Assurance	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
northit.co.uk ↗	72 match 1 shared topics	Web App Penetration Testing UK	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	email phone	none
imraflip.com ↗	72 match 1 shared topics	Rafli Permana — Penetration Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
santafecyber.com ↗	72 match 1 shared topics	Santa Fe Cyber LLC - Network Penetration Testing	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2hack.com ↗	72 match 1 shared topics	2hack - Penetration Testing as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nethemba.co.uk ↗	71 match 1 shared topics	Penetration Testing, Red Teaming & Security Audits \| Nethemba	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
lambdabit.io ↗	71 match 1 shared topics	Lambda Bit \| Cybersecurity Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
national-defence.co.uk ↗	70 match 1 shared topics	Axis Pentest – Cyber Security and Penetration Testing Specialist	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
nationaldefence.co.uk ↗	70 match 1 shared topics	Axis Pentest – Cyber Security and Penetration Testing Specialist	United Kingdom en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pciattestation.co.uk ↗	70 match 1 shared topics	Internal Penetration Testing UK \|	United Kingdom 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.