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Sebastian Riveros — Offensive 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
3ziz.me ↗	76 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
malicious.pro ↗	74 match 2 shared topics	Malicious.pro — Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
stationedk06.dev ↗	73 match 2 shared topics	Joohan Kim — Security Research & CTF Writeups	en	information-and-network-security	robotsllmsaihumans	emailphone	none
khirawdhi.com ↗	72 match 2 shared topics	Khirawdhi – Security Researcher & Storyteller	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
noted.digital ↗	72 match 2 shared topics	Jimmy Rodriguez — Full-Stack Developer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	72 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
aadityapurani.com ↗	70 match 2 shared topics	Aaditya Purani – Hacker – Hacker \| Security Researcher \| Exploit Dev	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
m4rt.pro ↗	70 match 2 shared topics	Marcin Grzesiak - (offensive) Security Architect	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kidneyweakx.com ↗	70 match 2 shared topics	NEO_TOKYO TERMINAL // kidneyweakx - Web3 Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xdeadbeefjerky.com ↗	69 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
nullcathedral.com ↗	69 match 2 shared topics	NULL CATHEDRAL — Vulnerability Research & Disclosure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deadhacker.com ↗	69 match 2 shared topics	deadhacker.com – security research repository of nathan andrew fain / cyphunk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dbugging.com ↗	68 match 2 shared topics	Dbugging - CYBER SECURITY PLATFORM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
kelvinsrose.com ↗	68 match 2 shared topics	KR \| Kelvin Rose — Security Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
cyberhatlab.cfd ↗	67 match 2 shared topics	Cyber Security Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akshanshjaiswal.com ↗	67 match 2 shared topics	Akshansh Jaiswal \| Lead Security Engineer & Bug Bounty Hunter	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	67 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
betastudio.com ↗	67 match 2 shared topics	BetaStudio.com — Cyber Labs, Beta Testing, Security Tools & Software News	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.