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NULL CATHEDRAL — Vulnerability Research & Disclosure — 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
hunters-sec.com ↗	69 match 2 shared topics	Hunters — the context to find the next vulnerability	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
r00thunt.com ↗	69 match 2 shared topics	r00thunt – Security Research & War Stories	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
redteam.life ↗	69 match 2 shared topics	REDTEAM.LIFE // Offensive Security Research & Development	en	technology-and-computing	robotsllmsaihumans	emailphone	none
qparser.cloud ↗	68 match 2 shared topics	QParser — Reveal vulnerabilities others overlook	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	68 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
philkeeble.com ↗	68 match 2 shared topics	Offensive Research	en	technology-and-computing	robotsllmsaihumans	emailphone	none
randywestergren.com ↗	67 match 2 shared topics	Randy Westergren - Development, security research, and other adventures in code	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
reconnotes.org ↗	67 match 2 shared topics	recon/notes — Collaborative Security Research Notes	en	information-and-network-security	robotsllmsaihumans	emailphone	none
depoversight.com ↗	67 match 2 shared topics	DepOversight — Dependency intelligence before disclosure	en	information-and-network-security	robots llmsaihumans	emailphone	none
mini.dev ↗	67 match 2 shared topics	mini.dev - research and OSS from Minimus	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 12
karlaparece.com ↗	67 match 2 shared topics	Karl Franklyn Aparece \| Security Researcher/Bug Bounty Hunter	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
tryvibio.com ↗	66 match 2 shared topics	Vibio — Find Security & Vulnerability Issues in Your App for Production Readiness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aadityapurani.com ↗	66 match 2 shared topics	Aaditya Purani – Hacker – Hacker \| Security Researcher \| Exploit Dev	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3ziz.me ↗	66 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
d-0g.com ↗	66 match 2 shared topics	d-0g.com — Digital Insights on Cybersecurity, AI & DevOps	en	technology-and-computing	robots llmsaihumans	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
seregonwar.com ↗	66 match 2 shared topics	Seregon — Reverse Engineer · Exploit Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
demonduck.dev ↗	65 match 2 shared topics	demonduck	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.