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Mohamed Sayed — Technical Lead, Reverse Engineering & Firmware Security — 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
0xsha.io ↗	72 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
etechengineer.com ↗	71 match 1 shared topics	Etech Engineering \| Security System	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
mosheshiri.com ↗	70 match 1 shared topics	Moshe Shiri — IT & Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
allenyen.net ↗	70 match 1 shared topics	Allen Yen \| Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
andrewhoffman.me ↗	70 match 1 shared topics	Andrew Hoffman – Software Engineering & Application Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hexoptimal.com ↗	70 match 1 shared topics	hexoptimal // Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
consulteer.com ↗	70 match 1 shared topics	Consulting, Human-Centered Design, Software Engineering & Cybersecurity \| Consulteer	en	information-and-network-security	robots llmsaihumans	emailphone	none
hexarasecurity.com ↗	69 match 1 shared topics	Hexara Cyber Defense \| Offensive Security & Resilience Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
conorq.com ↗	69 match 1 shared topics	Conor Quinlan \| Security Engineer & Software Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anshulvairagade.dev ↗	69 match 1 shared topics	Anshul Vairagade \| Cyber Security Engineer	en	information-and-network-security	robotsllmsaihumans	email phone	none
dicesoft.net ↗	69 match 1 shared topics	Stephen Chavez - Red Team Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mostafadurrani.com ↗	69 match 1 shared topics	Mustafa K. Durrani — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pacifiquesynergy.tech ↗	69 match 1 shared topics	PacifiqueSynergy — Engineering Secure, Intelligent Digital Futures	en	information-and-network-security	robotsllmsaihumans	email phone	none
diarracyberpro.live ↗	69 match 1 shared topics	Bouraima Diarra \| Cloud Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dptfed.ai ↗	69 match 1 shared topics	Data Pulse Tech - Cybersecurity & Software Development \| Virginia	United States~ en	information-and-network-security Ghost WooCommerce	robots llmsaihumans	emailphone	none
dpt-fed.com ↗	69 match 1 shared topics	Data Pulse Tech - Cybersecurity & Software Development \| Virginia	United States~ en	information-and-network-security Ghost WooCommerce	robots llmsaihumans	emailphone	none
alexakass.uk ↗	69 match 1 shared topics	Alex Akass \| Senior Technical Leader	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
evanildoribeiro.com ↗	69 match 1 shared topics	Inside Cyber Defense \| Evanildo Ribeiro — Security Engineer & SOC Analyst	en	information-and-network-security	robotsllmsaihumans	email phone	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.