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Georgios Prepakis | Kernelstub | Security Researcher — 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
adnanthekhan.com ↗	73 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	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
jasstej.tech ↗	69 match 2 shared topics	Jasstej Singh - Cybersecurity Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
jask.dev ↗	69 match 2 shared topics	Jask \| Lead Researcher & Builder	en	technology-and-computing Spree Commerce	robots llmsaihumans	emailphone	none
dillonfranke.com ↗	69 match 2 shared topics	Dillon Franke Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
bohops.com ↗	68 match 2 shared topics	bohops – A blog about cybersecurity research, education, and news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0-x.dev ↗	68 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jakeotte.com ↗	67 match 2 shared topics	Jake Otte – Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sbobetcz.com ↗	67 match 2 shared topics	Birdo - Developer & Security Enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gabrielreissantos.com ↗	67 match 2 shared topics	GabrielsMind \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mell0wx.tech ↗	67 match 2 shared topics	mell0wx — Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
simonmorley.co.uk ↗	67 match 2 shared topics	Simon Morley — Security Engineer, Founder, Builder	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
jameshasewinkle.com ↗	67 match 2 shared topics	James A. Hasewinkle — Offensive Security & Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	66 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
diceytech.pro ↗	66 match 2 shared topics	DiceyTech \| NYC United States \| IT security \| Softw...	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	partial · 7
vangsebastian.ch ↗	66 match 2 shared topics	Sebastian Vang \| Cybersecurity Engineer	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 12
0xdeadbeefjerky.com ↗	66 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
1percentnerd.com ↗	66 match 2 shared topics	Ezekiel A. Obeisun Jr \| Security Analyst \| AWS Community Builder \| NerdPioneer	United States~ 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.