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Vulnerable Amis alternatives & similar sites

What is this? | Vulnerable AMIs — 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
doom-sec.com ↗	66 match 1 shared topics	DOOM-SEC \| Threat Intelligence & Vulnerability Assessment	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1hacking.com ↗	65 match 1 shared topics	1HACKING \| Ethical hacker \| Vulnerability assessment \| Penetration testing	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
sixthlayersecurity.com ↗	65 match 1 shared topics	SixthLayer Security \| Cut Through Vulnerability Noise. Fix What Actually Matters.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
intothefurther.com ↗	65 match 1 shared topics	Into the Further \| What is inbetween…	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
howmaterialisthathack.com ↗	65 match 1 shared topics	How Material is That Hack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
howmaterialisthathack.org ↗	65 match 1 shared topics	How Material is That Hack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
howmaterialisthatbreach.com ↗	65 match 1 shared topics	How Material is That Hack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
howmaterialisthatbreach.org ↗	65 match 1 shared topics	How Material is That Hack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
garpne.com ↗	65 match 1 shared topics	Kevin Garpne - This is who I am.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
automata.org ↗	65 match 1 shared topics	AutomataSECURE – Unify Vulnerabilities, Simply Compliance	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cavarette.com ↗	65 match 1 shared topics	Free Website Security Scanner - Discover Vulnerabilities \| Cavarette	en	information-and-network-security	robotsllmsaihumans	emailphone	none
howtobuildapassphrase.com ↗	64 match 1 shared topics	What is a passphrase? \| My Password Checker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
howtocreateapassphrase.com ↗	64 match 1 shared topics	What is a passphrase? \| My Password Checker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vornin.com ↗	64 match 1 shared topics	EU Vulnerability Scanner Platform \| Scan. Resolve. Prove.	en	information-and-network-security Drupal	robots llmsaihumans	emailphone	none
cvefind.ch ↗	64 match 1 shared topics	Database CVE, CWE, CISA KEV & Vulnerability Intelligence \| CVE Find	Switzerland en	information-and-network-security WooCommerce	robotsllmsaihumans	emailphone	none
howfuckedistheinternet.com ↗	64 match 1 shared topics	How Fucked Is The Internet?	en	information-and-network-security	robotsllmsaihumans	emailphone	none
myinformationsecuritypolicy.com ↗	64 match 1 shared topics	What is a VPN (Virtual Private Network) - AGR Technology	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
internetfirewallservers.com ↗	64 match 1 shared topics	Internet Firewall Servers, Content Filtering, and Vulnerability testing	United States~ 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.