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deadband — ICS/OT Firmware Vulnerability Scanner — 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
sylvarsec.com ↗	72 match 1 shared topics	SylvarSec — Vulnerability Research	ES~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavarette.com ↗	70 match 1 shared topics	Free Website Security Scanner - Discover Vulnerabilities \| Cavarette	en	information-and-network-security	robotsllmsaihumans	emailphone	none
barredo.info ↗	69 match 1 shared topics	Jorge Barredo Ferreira — Firmware Security & Fuzzing Engineer \| Embedded Systems \| Vulnerability Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
autovia.app ↗	69 match 1 shared topics	Auto-VIA — Automotive Vulnerability Intelligence Aggregator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccur1.com ↗	69 match 1 shared topics	CCUR1 Security Checker - Free Vibe Coding Security Scanner & Web App Vulnerability Tester	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cvedynamictracker.com ↗	68 match 1 shared topics	CVE Dynamic Tracker — Real-Time Vulnerability Monitoring for SMBs	CA~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
checkmygithub.com ↗	68 match 1 shared topics	CheckMyGitHub - Scan GitHub Repos for Security Vulnerabilities	en	information-and-network-security	robotsllmsaihumans	emailphone	none
checkifsecure.com ↗	68 match 1 shared topics	CheckIfSecure — Security Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
drivershield.io ↗	68 match 1 shared topics	DriverShield - Windows Kernel Driver Vulnerability & Malware Analysis	en	information-and-network-security	robots llmsaihumans	emailphone	none
dimva.org ↗	68 match 1 shared topics	DIMVA - Conference on Detection of Intrusions and Malware & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lunalectric.com ↗	68 match 1 shared topics	Mondoo - Managed Vulnerability Management Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
naveen-research.com ↗	68 match 1 shared topics	Naveen S – Coordinated Vulnerability Disclosure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cve-scanner.com ↗	68 match 1 shared topics	CVE Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
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
cyberspec.pro ↗	67 match 1 shared topics	CyberSpec - Advanced Cybersecurity Platform \| Vulnerability Management & Network Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
swapsteem.com ↗	67 match 1 shared topics	Networecon \| Network Recon Tool for Vulnerability & Penetration Testing	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
defendmywpress.com ↗	66 match 1 shared topics	DefendMyWP — Critical Vulnerability Reports for WordPress Sites	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.