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Ashar S. Ahmed — Security & Software Engineer · CISSP — 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
ferrabled.com ↗	78 match 1 shared topics	Fernando Rabasco · Security & Software Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 19
3rabdev.online ↗	72 match 1 shared topics	3ràb \| Software Engineer & Security Researcher	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
blackmarshal.dev ↗	72 match 1 shared topics	Prince Asiedu \| Software Engineer · DevSecOps · Software Supply Chain Security · Open Source	GH~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakhtaoui.com ↗	71 match 1 shared topics	Khalid Bakhtaoui - IT Security & DevOps Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsha.io ↗	71 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onkark.com ↗	71 match 1 shared topics	Onkar Koli — Product Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fernandoalzateocampo.com ↗	70 match 1 shared topics	Fernando Alzate Ocampo - Cybersecurity & Software Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dray.be ↗	70 match 1 shared topics	Justin Dray \| Senior Security Engineer	Belgium en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsr.com ↗	69 match 1 shared topics	Suleman Rehman — Red Team Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bakrfayez.com ↗	69 match 1 shared topics	Bakr Fayez — Cybersecurity Expert & Senior Backend Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
totalsecurity-pr.com ↗	69 match 1 shared topics	TSPR 2.0 — Total Security Process Reengineering	en	information-and-network-security	robots llmsaihumans	emailphone	none
ecrimelabs.eu ↗	68 match 1 shared topics	eCrimeLabs \| Threat Intelligence & Security Engineering	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
360antiviruspro.com ↗	68 match 1 shared topics	360 Antivirus Pro: Next-Gen Computer Security Software 2026	India~ en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
imsandu.com ↗	68 match 1 shared topics	Engineering Leadership & Security - Ionut Mihai Sandu	en	information-and-network-security	robotsllmsaihumans	emailphone	none
abhinavverma.codes ↗	68 match 1 shared topics	Abhinav Verma - Cybersecurity Engineer & Digital Defense Specialist	en	information-and-network-security	robotsllmsaihumans	emailphone	none
4cybersecurity.com ↗	68 match 1 shared topics	4CyberSecurity -- Specialized Cyber Security Search Engine	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onlinesecuritytools.net ↗	68 match 1 shared topics	Home - Online Security & Tools	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
blackhawkdata.net ↗	68 match 1 shared topics	BlackHawk Data \| Cybersecurity & AI - Engineered for Outcomes	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.