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Mr0K alternatives & similar sites

Kirubakaran Jayakumar — Senior Security Engineer — 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
shubodaya.dev ↗	73 match 1 shared topics	Shubodaya Kumar \| Network Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
diarracyberpro.live ↗	72 match 1 shared topics	Bouraima Diarra \| Cloud Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
conorq.com ↗	72 match 1 shared topics	Conor Quinlan \| Security Engineer & Software Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhruvkumar.tech ↗	71 match 1 shared topics	Dhruvkumar Dobariya – Cybersecurity Analyst \| SOC Engineer \| AI Security Specialist	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladligai.com ↗	71 match 1 shared topics	Vlad Ligai - Security Engineer \| Application Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 16
0xsr.com ↗	70 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	70 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vladimircuc.com ↗	70 match 1 shared topics	Vladimir Cuc \| Security Engineer & Penetration Tester	en	information-and-network-security	robotsllmsaihumans	email phone	none
etechengineer.com ↗	70 match 1 shared topics	Etech Engineering \| Security System	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
monteirotf.com ↗	70 match 1 shared topics	Samuel Monteiro \| DevOps & Edge Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
davehaertel.co ↗	70 match 1 shared topics	Dave Haertel · Senior Information Security Analyst	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
dhruvp111296.com ↗	69 match 1 shared topics	Dhruv Patel \| Security Engineer at CIVICA - Cybersecurity Expert	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mcpscanner.cloud ↗	69 match 1 shared topics	MCP Scanner — Security Scanner for MCP Servers	en	information-and-network-security	robots llmsaihumans	emailphone	none
compliquick.com ↗	69 match 1 shared topics	CompliQuick — Security Compliance for Small Teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lagi.dev ↗	68 match 1 shared topics	Husin — Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
laronlumpkin.com ↗	68 match 1 shared topics	LaRon Lumpkin – Cybersecurity Engineer \| Coffee Addict \| Sec+	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
hexarasecurity.com ↗	68 match 1 shared topics	Hexara Cyber Defense \| Offensive Security & Resilience Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
lantari.cloud ↗	68 match 1 shared topics	Lantari — Wazuh Security as a Service	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.