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Crime alternatives & similar sites

Anthony Kava: hacker, speaker, cyber crime, infosec, digital forensics | Tony Kava | karver — 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
memepolice.lol 100 match
1 shared topics
Anthony Kava: hacker, speaker, cyber crime, infosec, digital forensics | Tony Kava | karver en information-and-network-security robotsllmsaihumans emailphone none
keyrios.com 70 match
1 shared topics
Keyrios | Crime Intelligence, Cybersecurity & Digital Forensics en information-and-network-security robotsllmsaihumans emailphone none
stacyeldridge.com 70 match
1 shared topics
Silicon Prairie Cyber - Digital Forensics United States~ en information-and-network-security robotsllmsaihumans emailphone none
abhiboora.com 70 match
1 shared topics
Abhinav Boora | Cybersecurity & Digital Forensics en information-and-network-security robotsllmsaihumans emailphone none
zycorasolutions.com 69 match
1 shared topics
Cybersecurity & Digital Forensics Portfolio en information-and-network-security robotsllmsaihumans emailphone none
0ffsec.com 69 match
1 shared topics
Offsec Labs - Digital Forensics & Cybersecurity Services en information-and-network-security robotsllmsaihumans emailphone none
andreafortuna.org 68 match
1 shared topics
Andrea Fortuna | Cybersecurity expert, software developer, experienced digital forensic analyst, musician en information-and-network-security robotsllmsaihumans emailphone none
khancyber.org 67 match
1 shared topics
Best Cyber Forensic Expert, BD Cyber Crime, Cyber Crime Detector. en information-and-network-securityWordPress robotsllmsaihumans emailphone none
garrettdiscovery.com 67 match
1 shared topics
Garrett Discovery | Expert Digital Forensics & eDiscovery Services en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
gilberttechnical.com 67 match
1 shared topics
Gilbert Technical | Expert Digital Forensics & Insider Threat Investigation en information-and-network-security robotsllmsaihumans emailphone none
eaglecybecrimesecurity.sbs 66 match
1 shared topics
EAGLE SECURITY - Advanced Cyber Crime Fraud & AML Investigation Services en information-and-network-security robotsllmsaihumans emailphone none
srsu-bootcamp.com 66 match
1 shared topics
Cybersecurity & Digital Forensics Summer Bootcamp — Sul Ross State University CoE en information-and-network-security robotsllmsaihumans emailphone none
earth2.digital 65 match
1 shared topics
Digital Transformation & Cyber Resilience | Earth2 Digital en information-and-network-security robotsllmsaihumans emailphone none
enfold.ai 65 match
1 shared topics
Home - Fight Cyber Crime with EnfoldAI en information-and-network-security robotsllmsaihumans emailphone none
macandcheese.club 65 match
1 shared topics
Creek Cyber - High School Cyber Security en information-and-network-security robotsllmsaihumans emailphone none
cryptoscamsupport.com 65 match
1 shared topics
Crypto Scam Support | Blockchain Forensic Investigation & Digital Asset Analysis en information-and-network-security robotsllmsaihumans emailphone none
aegissecurity.cloud 65 match
1 shared topics
Aegis Cyber | Shielding Your Digital Future en information-and-network-security robotsllmsaihumans emailphone none
gbnighthawk.com 65 match
1 shared topics
Goldbelt Nightawk - Cybersecurity, Digital Information Management, IT Systems Development en information-and-network-securityWordPress 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:

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.