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Trail of Bits: Security Research, Audits, and Tools — 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
adnanthekhan.com ↗	74 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
yungraj.com ↗	72 match 2 shared topics	YungRaj – Security Researcher	en	technology-and-computing	robotsllmsaihumans	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
clarityalliance.org ↗	69 match 2 shared topics	Clarity Alliance Research \| Smart Contract Security Audits, Consulting & Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3ziz.me ↗	69 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
subroto.dev ↗	68 match 2 shared topics	Subroto Kumer Deb Nath — Embedded/Firmware Engineer & Hardware Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cypherbunker.com ↗	68 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
transactionsigner.com ↗	68 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
stuff4sats.com ↗	68 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
clawden.dev ↗	68 match 2 shared topics	ClawDen.dev — OpenClaw Guides, Tools, Reviews & Security Hub	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
zecsec.com ↗	67 match 2 shared topics	ZecSec - Zcash Ecosystem Security	en	information-and-network-security Squarespace	robotsllmsaihumans	emailphone	none
0xsp.com ↗	67 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
minhcyber.com ↗	67 match 2 shared topics	MinhCyber - Security Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
funsentry.com ↗	66 match 2 shared topics	FunSentry — WordPress Security Scanner	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
chidunguyen.com ↗	66 match 2 shared topics	chidunguyen.com – Advancing cybersecurity through research, CTF challenges, and real-world testing.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
dackjempsey.com ↗	66 match 2 shared topics	Quantum Dempsey – Discussing software, engineering, cybersecurity, and quantum	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
lab0xm.com ↗	66 match 2 shared topics	Lab0xM - The MicroSec Research Lab	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.