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Se4Ko alternatives & similar sites

SE4KO // OFFENSIVE OPS — 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
0xdigi.com ↗	72 match 1 shared topics	0xdigi — Cybersecurity & Offensive Tools	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackflood.app ↗	72 match 1 shared topics	Blackflood - Offensive Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xnano.com ↗	70 match 1 shared topics	0xNano \| Offensive Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
abhiramk.live ↗	70 match 1 shared topics	Abhiram's Portfolio - Offensive Security & SIEM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xdelta.org ↗	70 match 1 shared topics	0xD3lta Research — Offensive & Defensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onidef.com ↗	69 match 1 shared topics	Onidef — Offensive Security, Compliance & Incident Response	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0block.org ↗	69 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xpolar.com ↗	69 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
blackthornsec.com ↗	69 match 1 shared topics	Blackthorn Security — Offensive Security & Red Team Operations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crystaldefense.io ↗	68 match 1 shared topics	Crystal Defense – Offensive Security Consulting Firm	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
blackhatbrew.com ↗	67 match 1 shared topics	Black Hat Brew - Red Team CTFs & Offensive Security Scenarios	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1infosec.com ↗	67 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1informationsecurity.com ↗	67 match 1 shared topics	Offensive Cybersecurity Experts - CovertSwarm	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
acap.foundation ↗	66 match 1 shared topics	ACAP — The Certification Standard for offensive AI security agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
rcesecurity.eu ↗	66 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
rce-security.eu ↗	66 match 1 shared topics	RCE Security \| Penetration Tests. Source Code Reviews. IT Security Audits.	European Union en	information-and-network-security	robotsllmsaihumans	emailphone	none
totalsecuritydigest.com ↗	66 match 1 shared topics	Total Security Digest - Comprehensive Security Knowledge	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
laolab.org ↗	66 match 1 shared topics	LAOLAB Cyber Security: Comprehensive Protection for Your Business	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.