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MDS Attacks: Microarchitectural Data Sampling — 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
cyberthreathorizon.org ↗	63 match 2 shared topics	Real-Time DDoS Attack Map \| NETSCOUT Cyber Threat Horizon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberthreathorizon.net ↗	63 match 2 shared topics	Real-Time DDoS Attack Map \| NETSCOUT Cyber Threat Horizon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
omnisthreathorizon.com ↗	63 match 2 shared topics	Real-Time DDoS Attack Map \| NETSCOUT Cyber Threat Horizon	en	information-and-network-security	robotsllmsaihumans	emailphone	none
darkskippy.com ↗	62 match 2 shared topics	Dark Skippy Disclosure - A Powerful Method For Key Exfil Attacks	en	information-and-network-security	robotsllmsaihumans	emailphone	none
bugbuzzer.com ↗	62 match 2 shared topics	BugBuzzer - Find what's exposed before attackers do	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
heyamaze.com ↗	62 match 2 shared topics	Amaze — Anonymize sensitive data locally	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datapandas.com ↗	62 match 2 shared topics	DataPandas – Your Journey Into DevOps, Cyber Security and Data Science	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
takahesolutions.co.uk ↗	62 match 2 shared topics	Takahe – IT – Software and Data Consultant	United Kingdom en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
anilavulas.com ↗	62 match 2 shared topics	Anil Avula's Microsoft Technical SharePoint Blog	en	information-and-network-security Reaction Commerce	robotsllmsaihumans	emailphone	none
datadevsecops.net ↗	62 match 2 shared topics	DATADEVSECOPS - Where is the Data in DEVSECOPS?	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataleakhunter.com ↗	62 match 2 shared topics	Data Leak Hunter (DLH)	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
heroicpanda.com ↗	62 match 2 shared topics	Security for the Rest of Us \| Nathan Walker \| Substack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
hybridbrothers.com ↗	62 match 2 shared topics	Hybrid Brothers - Microsoft Security Blog \| Hybrid Brothers	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dataflow.org.in ↗	62 match 2 shared topics	Data Flow & Logging Access	India en	technology-and-computing	robotsllmsaihumans	emailphone	none
antoinebernard.com ↗	61 match 2 shared topics	Antoine BERNARD - Tech enthusiast, Dev & Blogger on Microsoft eco-system	en	information-and-network-security Ghost	robotsllmsaihumans	emailphone	none
datafakegenerator.com ↗	61 match 2 shared topics	DataFakeGenerator - datafakegenerator.com	en	technology-and-computing	robotsllmsaihumans	emailphone	none
datarentmeester.com ↗	61 match 2 shared topics	Datarentmeester \| Peter Walgemoed \| Substack	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datarentmeester.org ↗	61 match 2 shared topics	Datarentmeester \| Peter Walgemoed \| Substack	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.