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DriverShield - Windows Kernel Driver Vulnerability & Malware Analysis — 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
nanoroids.com ↗	70 match 1 shared topics	Nanoroids \| Cyber Security Expert \| Vulnerability & Exploit Analysis	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
lukeacha.com ↗	69 match 1 shared topics	LukeAcha.com \| Malware Analysis and Detection Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zseceye.com ↗	69 match 1 shared topics	ZSecEye — Malware Sample Analysis	en	information-and-network-security	robots llmsaihumans	emailphone	none
dimva.org ↗	69 match 1 shared topics	DIMVA - Conference on Detection of Intrusions and Malware & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cavarette.com ↗	68 match 1 shared topics	Free Website Security Scanner - Discover Vulnerabilities \| Cavarette	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sylvarsec.com ↗	67 match 1 shared topics	SylvarSec — Vulnerability Research	ES~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
syx-sense.com ↗	67 match 1 shared topics	Syxsense - Automated Endpoint and Vulnerability Management	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
syxsense.com ↗	67 match 1 shared topics	Syxsense - Automated Endpoint and Vulnerability Management	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
syxenterprise.com ↗	67 match 1 shared topics	Syxsense - Automated Endpoint and Vulnerability Management	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
syxsecure.com ↗	67 match 1 shared topics	Syxsense - Automated Endpoint and Vulnerability Management	US~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
lunalectric.com ↗	67 match 1 shared topics	Mondoo - Managed Vulnerability Management Service	en	information-and-network-security	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
cybershieldtn.net ↗	66 match 1 shared topics	CYBERSHIELD - Cybersecurity Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
autovia.app ↗	66 match 1 shared topics	Auto-VIA — Automotive Vulnerability Intelligence Aggregator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
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
joesandbox.com ↗	66 match 1 shared topics	Automated Malware Analysis - Joe Sandbox Cloud Basic	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
1hacking.com ↗	66 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xblack.dev ↗	66 match 1 shared topics	blackrose.lab — Malware Analysis & Threat Intelligence	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.