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Attacking Zcash Protocol For Fun And Profit | Attacking Zcash For Fun And Profit — 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
attackchain.ai ↗	63 match 2 shared topics	Attack Chain: Hardware & Firmware Vulnerabilities \| Attack Chain	en	technology-and-computing	robotsllmsaihumans	emailphone	none
attackmodelling.com ↗	63 match 2 shared topics	Composer \| Attack Models	en	technology-and-computing Adobe Experience Manager	robotsllmsaihumans	emailphone	none
0xhacked.com ↗	63 match 2 shared topics	0xHacked \| a trustless post-audit security protocol	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protocol14019.com ↗	63 match 2 shared topics	PROTOCOL 14019 \| David Cooper \| Decentralized Stack Engineering	en	technology-and-computing	robotsllmsaihumans	emailphone	none
cryptoinheritance.org ↗	62 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
assetnote.io ↗	62 match 2 shared topics	Assetnote - External Attack Surface Management	en	information-and-network-security	robotsllmsaihumans	emailphone	none
lnphone.com ↗	62 match 2 shared topics	Coinkite: Bitcoin Security and Fun Devices	en	technology-and-computing	robotsllmsaihumans	emailphone	none
provally.io ↗	62 match 2 shared topics	AutoProof: The Proof Layer for SAST Findings \| Provally	en	information-and-network-security	robots llmsaihumans	emailphone	none
provallyteam.com ↗	62 match 2 shared topics	AutoProof: The Proof Layer for SAST Findings \| Provally	en	information-and-network-security	robots llmsaihumans	emailphone	none
1io.com ↗	61 match 2 shared topics	The foundation for digital sovereignty and resilience · 1iO	en	technology-and-computing	robotsllmsaihumans	emailphone	partial · 8
attacktrack.org ↗	61 match 2 shared topics	AttackTrack – Threat Intelligence	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protonet.dev ↗	61 match 2 shared topics	ProtoNet \| Freedom Tech Resources	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sitecorerunner.com ↗	61 match 2 shared topics	Sitecore Runner \| Rob Reilley \| Sitecore MVP \| A place for Sitecore tips, tricks and shared experiences.	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
csanchez.dev ↗	61 match 2 shared topics	CSanchezAustin \| Musings and experiments on Identity, DevOps, and Security.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sitescard.com ↗	61 match 2 shared topics	sitescard.com \| Innovation and Security	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
enabling-digital.eu ↗	61 match 2 shared topics	Enabling Digital Rights – Human Rights and Technology	European Union en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
attacklens.io ↗	61 match 2 shared topics	AttackLens \| Continuous Exposure Management Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 18
pruvendo.com ↗	61 match 2 shared topics	Pruvendo - Formal Verification for Smart Contracts	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.