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DefendWP.ORG – Patching Security Vulnerabilities for Everyone — 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
disinfocve.org ↗	69 match 1 shared topics	DisinfoCVE - Tracking Disinformation Like Security Vulnerabilities	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cvealert.net ↗	68 match 1 shared topics	CVE Alert & Security Feed - Security Vulnerability Feed	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cvedispatch.com ↗	67 match 1 shared topics	CVE Dispatch — Vulnerability intelligence for MSPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
nanoroids.com ↗	67 match 1 shared topics	Nanoroids \| Cyber Security Expert \| Vulnerability & Exploit Analysis	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
pipherconsulting.com ↗	66 match 1 shared topics	Pipher Consulting – Enabling Security Solutions for a Modern World.	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
pki-pro.com ↗	66 match 1 shared topics	PKIPRO - Everything You Need For Digital Security	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
johnsoudi.com ↗	66 match 1 shared topics	aspiring security engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
berning-security.engineering ↗	66 match 1 shared topics	Berning Security Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pioneeringsoftware.com ↗	66 match 1 shared topics	Pioneering Security	US~ en	information-and-network-security	robotsllmsaihumans	email phone	none
cyberspec.pro ↗	66 match 1 shared topics	CyberSpec - Advanced Cybersecurity Platform \| Vulnerability Management & Network Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
2ncyberdefense.com ↗	66 match 1 shared topics	2N Cyber Defense – Security services	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberleech.blog ↗	66 match 1 shared topics	Cyberleech – Cyber Security for CSC301	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
postqlabs.com ↗	66 match 1 shared topics	PostQ Labs \| Quantum Vulnerability Data	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cvedynamictracker.com ↗	66 match 1 shared topics	CVE Dynamic Tracker — Real-Time Vulnerability Monitoring for SMBs	CA~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0patch.com ↗	66 match 1 shared topics	Better Security Patches \| 0patch	en	information-and-network-security DatoCMS	robotsllmsaihumans	emailphone	none
barredo.info ↗	66 match 1 shared topics	Jorge Barredo Ferreira — Firmware Security & Fuzzing Engineer \| Embedded Systems \| Vulnerability Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
swapsteem.com ↗	66 match 1 shared topics	Networecon \| Network Recon Tool for Vulnerability & Penetration Testing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyberdomain.co.uk ↗	66 match 1 shared topics	Cyber Domain – Cyber Security For UK SMBs	GB en	information-and-network-security WordPress	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.