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OmenByte - Security Researcher & Full Stack Developer | Cybersecurity Expert — 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
srdusr.com ↗	74 match 2 shared topics	srdusr • Developer + Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omobude.dev ↗	72 match 2 shared topics	Timothy Omobude \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	71 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
hebunilhanli.com ↗	70 match 2 shared topics	HEBUN \| Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
spysecurities.com ↗	70 match 2 shared topics	SpySecurities \| Premium Cybersecurity Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cybersecurityos.net ↗	70 match 2 shared topics	CybersecurityOS \| CybersecurityOS	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
danielpua.dev ↗	70 match 2 shared topics	Daniel Púa · devploit · Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
olypus.com ↗	69 match 2 shared topics	Mr. Olypus \| Tinkerer, Contractor, Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3ziz.me ↗	69 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
oneroxe.com ↗	69 match 2 shared topics	ONEROXE — Offensive Security Services & Security Testing Tools	India~ en	information-and-network-security	robots llmsaihumans	emailphone	partial · 8
bugcrowd.com ↗	69 match 2 shared topics	#1 Crowdsourced Cybersecurity Platform \| Bugcrowd	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0-x.dev ↗	69 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
renahan.com ↗	69 match 2 shared topics	Lee Renahan \| Cyber Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rensecurity.org ↗	68 match 2 shared topics	Rensecurity — Cybersecurity news, techniques & insights	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
mdisec.com ↗	68 match 2 shared topics	Hi I'm Mehmet Ince - Mehmet Ince @mdisec - Vulnerability Researcher \| Building security products \| Security Advisor \| Amateur Muay Thai fighter	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
darkpills.com ↗	68 match 2 shared topics	@darkpills cybersecurity blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aperbit.com ↗	68 match 2 shared topics	Aperbit // Offensive Security & Protocol Research	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xsp.com ↗	68 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	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.