Piperic
similar sites
‹ ProfileAI Report

Sites similar to sniperyyc.com

Sniperyyc alternatives & similar sites

Yucheng Yin | Ph.D., Carnegie Mellon University — 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 →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
almohri.io 68 match
1 shared topics
Hussain Almohri, Ph.D. - Secure Systems - Computer Science - Kuwait University en information-and-network-security robotsllmsaihumans emailphone none
cybersecurity.sydney 67 match
1 shared topics
Cybersecurity Society Sydney University en information-and-network-security robotsllmsaihumans emailphone partial · 8
cerias.org 67 match
1 shared topics
CERIAS : CERIAS - Purdue University en information-and-network-security robotsllmsaihumans emailphone none
cryptoworks21.org 66 match
1 shared topics
Home | Cryptoworks21 | University of Waterloo en information-and-network-securityDrupal robotsllmsaihumans emailphone none
cryptoworks21.net 66 match
1 shared topics
Home | Cryptoworks21 | University of Waterloo en information-and-network-securityDrupal robotsllmsaihumans emailphone none
cryptoworks21.info 66 match
1 shared topics
Home | Cryptoworks21 | University of Waterloo en information-and-network-securityDrupal robotsllmsaihumans emailphone none
cryptoworks21.ca 66 match
1 shared topics
Home | Cryptoworks21 | University of Waterloo Canada en information-and-network-securityDrupal robotsllmsaihumans emailphone none
cscan.org 66 match
1 shared topics
Centre for Security, Communications and Network Research, University of Plymouth en information-and-network-security robotsllmsaihumans emailphone none
cyber100.org 66 match
1 shared topics
Cyber 100 | Bradley University en information-and-network-security robotsllmsaihumans emailphone none
lawrenceong.com 65 match
1 shared topics
Lawrence Ong en information-and-network-security robotsllmsaihumans emailphone none
flaviodgarcia.com 65 match
1 shared topics
Flavio Garcia @ University of Birmingham en information-and-network-security robotsllmsaihumans emailphone none
cybnity.com 65 match
1 shared topics
CYBNITY Universe | Notion en information-and-network-security robotsllmsaihumans emailphone none
cybnity.org 65 match
1 shared topics
CYBNITY Universe | Notion en information-and-network-security robotsllmsaihumans emailphone none
siegecyberops.com 65 match
1 shared topics
SIEGE CyberOps - Augusta University's Security Operations Center United States~ en information-and-network-security robotsllmsaihumans emailphone none
cybersecurity-ontology.org 64 match
1 shared topics
Cybersecurity Ontology - University of New England en information-and-network-security robotsllmsaihumans emailphone none
leespitzley.com 64 match
1 shared topics
Lee Spitzley – Assistant Professor–University at Albany, State University of New York en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
priankamandal.com 64 match
1 shared topics
Prianka Mandal – Ph.D. Candidate at William and Mary en information-and-network-security robotsllmsaihumans emailphone none
drkostas.uk 64 match
1 shared topics
Dr. Kostas Kyriakopoulos United Kingdom en information-and-network-security robotsllmsaihumans emailphone partial · 8

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:

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.