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Phishing Simulation & Training | PhishingBox — 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
1f.io ↗	80 match 1 shared topics	Phishing Simulation & Awareness Training - Fished	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishgun.com ↗	78 match 1 shared topics	PhishGun - Phishing Simulation and Employee Training Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
phishcare.com ↗	77 match 1 shared topics	PhishCare - Best Phishing Simulation Tool	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
phish-enterprise.com ↗	77 match 1 shared topics	Phish Enterprise - Phishing simulation and security awareness trainings	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
0penai-gpt.com ↗	77 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanotifications.com ↗	77 match 1 shared topics	Phishing Simulation Landing Page	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinesubpoena.be ↗	77 match 1 shared topics	Phishing Simulation Landing Page	Belgium en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishmark.com ↗	76 match 1 shared topics	Phishing Awareness Solution - Simulation Campaigns - CIATEC	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
phishprep.com ↗	76 match 1 shared topics	Best Phishing Simulation Tool \| Low-Cost Phishing Test	Singapore~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
phinsecurity.com ↗	75 match 1 shared topics	Phin Security \| MSP Focused Phishing Training & Simulation	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
phishskill.com ↗	75 match 1 shared topics	PhishSkill - Security Awareness & Phishing Simulation	en	information-and-network-security	robots llmsaihumans	emailphone	none
servicesbancaire.com ↗	73 match 1 shared topics	Phishing Simulation Notice	en	information-and-network-security	robotsllmsaihumans	emailphone	none
services-bancaire.com ↗	73 match 1 shared topics	Phishing Simulation Notice	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishguardlab.com ↗	72 match 1 shared topics	PhishGuardLab: Cloud Base Phishing Simulation and Security Assessment \| PhishGuardLab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishspark.com ↗	71 match 1 shared topics	PhishSpark — Phishing Simulation Platform \| GoPhish & KnowBe4 Alternative	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
micrasoft-login.com ↗	70 match 1 shared topics	Proximus ADA - Phishing Simulator	en	information-and-network-security	robotsllmsaihumans	emailphone	none
phishdown.com ↗	69 match 1 shared topics	PhishDown \| Free Phishing Detection & URL Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
phishcloud.com ↗	69 match 1 shared topics	AI Powered Real Time Anti Phishing Protection & Solutions \| PhishCloud	en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	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.