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QParser — Reveal vulnerabilities others overlook — 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
bountiesalert.com ↗	70 match 2 shared topics	Coordinated Vulnerability Disclosure — BountiesAlert	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
webarxsecurity.com ↗	68 match 2 shared topics	Fastest protection for WordPress security vulnerabilities - Patchstack	Estonia~ en	information-and-network-security WooCommerce	robots llmsaihumans	emailphone	full · 13
whtaguy.com ↗	67 match 2 shared topics	Mav Levin Security Research \| Zero-Day Vulnerability Hunting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
galiata.com ↗	64 match 2 shared topics	Security Engineer — David Galiata	Netherlands~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
scanbee.dev ↗	63 match 2 shared topics	Scanbee — Security Testing for Vibe Coders	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
thprotocol.com ↗	63 match 2 shared topics	TimeHuman Protocol — Trust is Formed Over Time	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0xsabre.tech ↗	63 match 2 shared topics	Security Researcher - I'm 0xsabre — pentester, vulnerability researcher, and occasional CVE contributor. This is where I write about breaking things responsibly.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
a-kooli.me ↗	63 match 2 shared topics	KOOLI - Blog — Just another crypto blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dettack.com ↗	63 match 2 shared topics	Dettack · Attack Surface Management	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
threataft.com ↗	63 match 2 shared topics	ThreatAft — Cybersecurity Intelligence & Threat Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 9
scanforsecurity.com ↗	63 match 2 shared topics	ScanForSecurity — Cybersecurity news, tools & compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
alexvollmer.com ↗	63 match 2 shared topics	Alex Vollmer — alexvollmer.com	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcppedia.org ↗	62 match 2 shared topics	MCPpedia — Find the Right MCP Server	en	information-and-network-security	robots llmsaihumans	emailphone	none
simonwijckmans.com ↗	62 match 2 shared topics	Personal site — Simon Wijckmans	United States~ en	technology-and-computing	robotsllmsaihumans	emailphone	none
aiqbrain.com ↗	62 match 2 shared topics	AIQBrain — Tools for Digital Independence	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
outerscope.io ↗	62 match 2 shared topics	OuterScope — See your perimeter before they do	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcpblog.dev ↗	62 match 2 shared topics	MCPBlog.dev — The MCP Ecosystem Blog	en	information-and-network-security	robots llmsaihumans	emailphone	none
meanc.net ↗	62 match 2 shared topics	MEANC LLC \| Fan Engagement, Smart Amenities, Creator & Dev Security	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.