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ForgeSworn -- Forging and sharing the tools to reclaim your freedom — 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
trailofbits.com ↗	64 match 2 shared topics	Trail of Bits: Security Research, Audits, and Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
0sbs.com ↗	64 match 2 shared topics	0SBS - The Truth on Tech	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	none
cypherblk.com ↗	64 match 2 shared topics	The trust layer for second-life devices \| CypherBlk	en	information-and-network-security	robotsllmsaihumans	email phone	none
youtrust.com ↗	64 match 2 shared topics	Youtrust \| The evolution of Yousign towards digital trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
youtrust.app ↗	64 match 2 shared topics	Youtrust \| The evolution of Yousign towards digital trust	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cleann8njson.com ↗	63 match 2 shared topics	Clean N8N JSON - Sanitize Workflows for Safe Sharing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dorkplus.com ↗	63 match 2 shared topics	Welcome to DorkPlus \| The #1 Google Scraper, Website Vulnerability Scanner, Combo Dehasher and more!	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dot-anonymizer.com ↗	63 match 2 shared topics	DOT Anonymizer, Data Masking Tool	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
1io.com ↗	63 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
adamkliarsky.com ↗	63 match 2 shared topics	Below the Attack Surface: Security Research for Fun and Profit – A place where I can document and share the various stuff I learn.	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ozarksecuritylabs.com ↗	63 match 2 shared topics	Ozark Security Labs - Open-source product security tooling	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xfffforge.com ↗	63 match 2 shared topics	0xForge	en	technology-and-computing	robotsllmsaihumans	emailphone	none
ademolaborode.org ↗	63 match 2 shared topics	Borode Ademola Official – Making the World a Better Place	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
trebaud.com ↗	63 match 2 shared topics	Naming things is hard	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 5
dradis.com ↗	63 match 2 shared topics	Self-Hosted Penetration Testing Management Tool \| Dradis	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
dradisframework.com ↗	63 match 2 shared topics	Self-Hosted Penetration Testing Management Tool \| Dradis	United Kingdom~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
identityverification.com ↗	63 match 2 shared topics	Identity Verification and KYC Solutions \| Cognito	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idverification.com ↗	63 match 2 shared topics	Identity Verification and KYC Solutions \| Cognito	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.