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CVE Database - Security Vulnerabilities and Exploits | Vulners.com — 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
attackchain.ai ↗	69 match 2 shared topics	Attack Chain: Hardware & Firmware Vulnerabilities \| Attack Chain	en	technology-and-computing	robotsllmsaihumans	emailphone	none
dotscience.com ↗	67 match 2 shared topics	DOTscience - Cybersecurity and Espionage Tactics	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
0-x.dev ↗	66 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csanchez.dev ↗	66 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dorkplus.com ↗	66 match 2 shared topics	Welcome to DorkPlus \| The #1 Google Scraper, Website Vulnerability Scanner, Combo Dehasher and more!	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crysec.dev ↗	66 match 2 shared topics	3553x’s Blog About Cryptography, Security and Other Things \| crysec.dev	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdeadbeefjerky.com ↗	66 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
doubleret.com ↗	66 match 2 shared topics	Diogo Pereira - Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sjvik.com ↗	65 match 2 shared topics	Steve Vik — Cybersecurity & DevOps	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	partial · 8
cryptoinheritance.org ↗	65 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gcxone.com ↗	65 match 2 shared topics	GCX One - Advanced Enterprise Security & Surveillance Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lnphone.com ↗	65 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	65 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sivero.app ↗	65 match 2 shared topics	Sivero - Scan code for high-signal security issues	en	information-and-network-security	robots llmsaihumans	emailphone	none
integsec.com ↗	65 match 2 shared topics	IntegSec - Secure Today, Ready for Tomorrow	en	information-and-network-security HubSpot	robots llmsaihumans	emailphone	none
hrishikeshpjadhav.com ↗	65 match 2 shared topics	Hrishikesh Jadhav — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
async2secure.com ↗	65 match 2 shared topics	Asynchronous \| Security Solutions - Async2Secure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
skillathontechnologies.com ↗	65 match 2 shared topics	Skillathon Technologies — Engineering Modern Digital Capabilities	India~ 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.