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Defuse alternatives & similar sites

Defuse Security Research and Development — 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
simonkoeck.com ↗	74 match 2 shared topics	Simon Koeck \| Security Researcher & Developer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
briacd.com ↗	73 match 2 shared topics	Developer Portfolio, Security Research and Engineering Blog \| Briac	en	technology-and-computing	robotsllmsaihumans	emailphone	none
0-x.dev ↗	72 match 2 shared topics	0xDev - Security Engineering & Development	en	information-and-network-security	robotsllmsaihumans	emailphone	none
k0g.com ↗	72 match 2 shared topics	K0G — Ethical Security Research Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trailofbits.com ↗	72 match 2 shared topics	Trail of Bits: Security Research, Audits, and Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
0xmaruf.com ↗	71 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
fobabs.com ↗	71 match 2 shared topics	FOBABS - Blockchain Engineer & Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
kernelstub.dev ↗	70 match 2 shared topics	Georgios Prepakis \| Kernelstub \| Security Researcher	Germany~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
deadhacker.com ↗	70 match 2 shared topics	deadhacker.com – security research repository of nathan andrew fain / cyphunk	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0xsp.com ↗	70 match 2 shared topics	Game of Hide and Seek: Detecting Dynamic API Resolution at Runtime With Aether - 0xsp SRD - Security Research & Development	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
aadityapurani.com ↗	70 match 2 shared topics	Aaditya Purani – Hacker – Hacker \| Security Researcher \| Exploit Dev	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
3ziz.me ↗	70 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
mini.dev ↗	69 match 2 shared topics	mini.dev - research and OSS from Minimus	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 12
sigmaprime.io ↗	69 match 2 shared topics	Blockchain Security Audits & Research \| Sigma Prime	Australia~ en	information-and-network-security	robots llmsaihumans	emailphone	none
cryptoinheritance.org ↗	69 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cypherbunker.com ↗	69 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cdsinsurance.org ↗	69 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
transactionsigner.com ↗	69 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	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.