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Security Parrot - Cyber Security News, Insights and Reviews — 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 Technology And Computing →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
scanforsecurity.com ↗	71 match 2 shared topics	ScanForSecurity — Cybersecurity news, tools & compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
jasonachkardiab.com ↗	69 match 2 shared topics	Cybersecurity Portfolio \| Full-Stack Developer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
gabrielreissantos.com ↗	69 match 2 shared topics	GabrielsMind \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bohops.com ↗	69 match 2 shared topics	bohops – A blog about cybersecurity research, education, and news	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
j0sh.io ↗	69 match 2 shared topics	J0SH - Cybersecurity Blog	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thirdeyer.com ↗	68 match 2 shared topics	Cyber Security & On-Chain Analysis Lab - ThirdEyer	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csenthusiast.com ↗	68 match 2 shared topics	Cybersecurity Enthusiast - Home	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dhyeysanghvi.com ↗	68 match 2 shared topics	Dhyey Sanghvi \| Cybersecurity Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ozarksecuritylabs.com ↗	68 match 2 shared topics	Ozark Security Labs - Open-source product security tooling	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdeadbeefjerky.com ↗	67 match 2 shared topics	0xdeadbeefJERKY \| Random thoughts and adventures of an offensive security engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ovalsec.com ↗	67 match 2 shared topics	Element Security: External Attack Surface Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
threatmine.io ↗	67 match 2 shared topics	threatmine.io – Cyber Threat Intel \| Security Research \| Data Science	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xhabib.tech ↗	67 match 2 shared topics	0xHabib - Cybersecurity Learning Journey	en	information-and-network-security	robotsllmsaihumans	emailphone	none
thewandman.com ↗	67 match 2 shared topics	The WandMan – Revolving around Security and Technology	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
ai4def.com ↗	67 match 2 shared topics	Cybersecurity for Radar Systems \| SCANTER Radars \| Terma	en	information-and-network-security	robotsllmsaihumans	emailphone	none
maximumpigs.com ↗	67 match 2 shared topics	MaximumPigs Dot Com \| Just a collection of my thoughts regarding Cyber Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
meincke.org ↗	66 match 2 shared topics	Raymond Meincke \| DevOps & Cybersecurity Engineer	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
adnanthekhan.com ↗	66 match 2 shared topics	Adnan Khan - Security Research	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.