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Ethical Zero-Day Exploit Marketplace for Defenders and Researchers | Desired Effect — 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
yungraj.com ↗	65 match 2 shared topics	YungRaj – Security Researcher	en	technology-and-computing	robotsllmsaihumans	emailphone	none
lab0xm.com ↗	65 match 2 shared topics	Lab0xM - The MicroSec Research Lab	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xmaruf.com ↗	64 match 2 shared topics	0xmaruf — Security Researcher & Bug Bounty Hunter	en	information-and-network-security WordPress Spree Commerce	robotsllmsaihumans	emailphone	none
trailofbits.com ↗	64 match 2 shared topics	Trail of Bits: Security Research, Audits, and Tools	en	information-and-network-security	robots llmsaihumans	emailphone	none
ianmattas.com ↗	64 match 2 shared topics	0xZemi // Ian Mattas — binary exploitation & pwn	en	information-and-network-security	robotsllmsaihumans	emailphone	none
agentexport.ai ↗	64 match 2 shared topics	AgentExport — Cybersecurity Agent Marketplace	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1io.com ↗	64 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
oxasploits.com ↗	64 match 2 shared topics	one zero day at a time \| oxasploits	en	information-and-network-security	robotsllmsaihumans	emailphone	none
3ziz.me ↗	64 match 2 shared topics	Abdulaziz Almadhi · Offensive Security Researcher \| 3ziz.me	en	information-and-network-security	robots llmsaihumans	email phone	none
adnanthekhan.com ↗	64 match 2 shared topics	Adnan Khan - Security Research	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
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
adpt.dev ↗	63 match 2 shared topics	Adaptable Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xsp.com ↗	63 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
adversity.dev ↗	63 match 2 shared topics	Adversity — Design for the day of adversity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
higraph.org ↗	63 match 2 shared topics	HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cypherblk.com ↗	63 match 2 shared topics	The trust layer for second-life devices \| CypherBlk	en	information-and-network-security	robotsllmsaihumans	email phone	none
clarityalliance.org ↗	63 match 2 shared topics	Clarity Alliance Research \| Smart Contract Security Audits, Consulting & Research	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trafficqualityintel.com ↗	63 match 2 shared topics	IPrating - Real-Time Visitor Context Engine for Traffic Control and Localization	CY~ en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 5

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.