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Sites similar to phishmind.com

Phishmind alternatives & similar sites

PhishMind — Automated phishing triage for SOC and IT teams — 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
savvypoc.com ↗	67 match 1 shared topics	POC Defender — Automated Exploit Detection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
masosec.com ↗	67 match 1 shared topics	masoSec — Automated Website & Email Security Monitoring	en	information-and-network-security	robotsllmsaihumans	emailphone	none
outboundmagic.com ↗	66 match 1 shared topics	Phishing and Ransomware Protection For Small Business \| PhishProtection.com	en	information-and-network-security Foxy.io	robotsllmsaihumans	emailphone	none
binalyze.com ↗	66 match 1 shared topics	Binalyze - Automated Investigation and Incident Response	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
web-hmrc.com ↗	66 match 1 shared topics	Avoid and report internet scams and phishing: Report internet scams and phishing - GOV.UK	en	information-and-network-security	robotsllmsaihumans	emailphone	none
threatdivision.com ↗	66 match 1 shared topics	ThreatDivision — Cybersecurity & Automation for Modern Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
securereset.co ↗	66 match 1 shared topics	Simulated phishing to prevent real threats \| Pistachio	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
cspanalyser.com ↗	66 match 1 shared topics	CSP Analyser — Automated Content Security Policy Generator \| CSP Analyser	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simplesec.net ↗	65 match 1 shared topics	Simple Security - EASM for Small Business \| Automated Security Monitoring	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
2fanyone.com ↗	65 match 1 shared topics	2FAnyone — Shared 2FA for Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredhq.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredtry.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredso.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredpro.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredorg.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecurednow.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredly.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
oversecuredit.com ↗	65 match 1 shared topics	Oversecured: Automated Mobile App Security	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.