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Fastest protection for WordPress security vulnerabilities - Patchstack — 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
boonrisk.com ↗	70 match 2 shared topics	Free WordPress Security Reports \| BoonRisk	Ukraine~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatxlabs.com ↗	66 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threatx.com ↗	66 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threat-x.com ↗	66 match 2 shared topics	Visionary API and Application Security - ThreatX	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
scanbee.dev ↗	66 match 2 shared topics	Scanbee — Security Testing for Vibe Coders	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xhacked.com ↗	65 match 2 shared topics	0xHacked \| a trustless post-audit security protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
adnanthekhan.com ↗	65 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dillonfranke.com ↗	64 match 2 shared topics	Dillon Franke Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ozarksecuritylabs.com ↗	64 match 2 shared topics	Ozark Security Labs - Open-source product security tooling	en	information-and-network-security	robotsllmsaihumans	emailphone	none
schnilchsecurity.com ↗	64 match 2 shared topics	Schnilch · Web3 Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thirdeyer.com ↗	64 match 2 shared topics	Cyber Security & On-Chain Analysis Lab - ThirdEyer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	64 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
jakeotte.com ↗	64 match 2 shared topics	Jake Otte – Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasonachkardiab.com ↗	64 match 2 shared topics	Cybersecurity Portfolio \| Full-Stack Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
sbobetcz.com ↗	64 match 2 shared topics	Birdo - Developer & Security Enthusiast	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vangsebastian.ch ↗	64 match 2 shared topics	Sebastian Vang \| Cybersecurity Engineer	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 12
0xsabre.tech ↗	64 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
dhyeysanghvi.com ↗	64 match 2 shared topics	Dhyey Sanghvi \| Cybersecurity Portfolio	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.