similar sites

Browse

AI Report Tools

Sites similar to omarabduh.dev

Omarabduh alternatives & similar sites

Omar Abduh — Cybersecurity — 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
anuragbathani.com ↗	75 match 2 shared topics	Anurag Bathani — Cybersecurity Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	73 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
farsilyez.com ↗	73 match 2 shared topics	Farsilyez — Cybersecurity Intelligence Hub	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkpills.com ↗	73 match 2 shared topics	@darkpills cybersecurity blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ongoingideas.com ↗	72 match 2 shared topics	ONGOINGIDEAS – Cybersecurity, Technology & Engineering	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
rensecurity.org ↗	71 match 2 shared topics	Rensecurity — Cybersecurity news, techniques & insights	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xchiru.dev ↗	71 match 2 shared topics	Chiranjeevi Diviti — Cybersecurity Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
bugtrooper.com ↗	71 match 2 shared topics	Bugtrooper — Continuous Crowdsourced Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
spysecurities.com ↗	70 match 2 shared topics	SpySecurities \| Premium Cybersecurity Insights	en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-0g.com ↗	70 match 2 shared topics	d-0g.com — Digital Insights on Cybersecurity, AI & DevOps	en	technology-and-computing	robots llmsaihumans	emailphone	none
0xhabib.tech ↗	70 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dackjempsey.com ↗	70 match 2 shared topics	Quantum Dempsey – Discussing software, engineering, cybersecurity, and quantum	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
9esec.io ↗	70 match 2 shared topics	9elements Cyber Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
2r-at.com ↗	69 match 2 shared topics	2R-AT \| Elite Cybersecurity Solutions	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
kelvinsrose.com ↗	69 match 2 shared topics	KR \| Kelvin Rose — Security Engineer	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
bugcrowd.com ↗	69 match 2 shared topics	#1 Crowdsourced Cybersecurity Platform \| Bugcrowd	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cyze.ai ↗	69 match 2 shared topics	Cyze - Real-World Cybersecurity Guides & Community Knowledge	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkscoop.com ↗	69 match 2 shared topics	Darkscoop - The thoughts, projects and experience of a cybersecurity enthusiast.	en	information-and-network-security WordPress	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.