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Defenz — Offensive Security & Penetration Testing — 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
0block.org ↗	81 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fullscopesecurity.com ↗	80 match 1 shared topics	Full Scope Security \| Penetration Testing & Offensive Security	US~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
kurtisebear.com ↗	80 match 1 shared topics	Kurtis Baron — Offensive Security & Pen Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
romeorichards.com ↗	78 match 1 shared topics	Home - Cyber Security & Penetration Testing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
opendatasecurity.co.uk ↗	78 match 1 shared topics	Open Data Security — Authorised Red Team & Penetration Testing	GB en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
badlocksecurity.com ↗	78 match 1 shared topics	BadLock Security - Penetration Testing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberline.uk ↗	77 match 1 shared topics	Cyberline — Precision Offensive Security	GB en	information-and-network-security	robotsllmsaihumans	emailphone	none
adversaryholdings.com ↗	76 match 1 shared topics	Principle Breach \| Penetration Testing & Red Team Security Services	en	information-and-network-security	robots llmsaihumans	email phone	none
traillxsecurity.com ↗	76 match 1 shared topics	Cybersecurity & Penetration Testing Services \| TRAILLXSECURITY	CA~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
trailheadsecurity.com ↗	76 match 1 shared topics	Trailhead Security — Automated Penetration Testing API	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
horrus-offsec.com ↗	76 match 1 shared topics	HoRRus \| Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
achilleus.io ↗	76 match 1 shared topics	Achilleus \| Penetration Testing	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
dominic-boban.com ↗	76 match 1 shared topics	Dominic Boban \| Cyber Security Penetration Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
rockshorecyber.com ↗	76 match 1 shared topics	Rockshore Cybersecurity - Expert Penetration Testing & Security Services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdelta.org ↗	75 match 1 shared topics	0xD3lta Research — Offensive & Defensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trethtec.com ↗	75 match 1 shared topics	Trethtec \| Pragmatic cybersecurity & penetration testing services	en	information-and-network-security	robotsllmsaihumans	emailphone	none
l3dsec.com ↗	75 match 1 shared topics	Ledion Mujaj — Penetration Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
clicksecure.ai ↗	75 match 1 shared topics	Penetration Testing & Security Training \| ClickSecure.AI	en	information-and-network-security	robots llmsaihumans	email phone	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.