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OWASP BLADE: Business Logic Abuse Definition Framework | The OWASP Business Logic Abuse Definition (BLADE) Framework, is an open-source knowledge-base created to help cybersecurity professionals fight cyber threats. — 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
absoluteaccess.biz 67 match
1 shared topics
CyberGuard360 | Advanced Cybersecurity Solutions for Businesses en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
felsuma.com 66 match
1 shared topics
SharpSec - Professional Penetration Testing Services en information-and-network-security robotsllmsaihumans emailphone none
impactwave.io 66 match
1 shared topics
ImpactWave Security - Professional Penetration Testing Services en information-and-network-security robotsllmsaihumans emailphone none
sandeeprajendiran.com 66 match
1 shared topics
Sandeep Rajendiran - Cybersecurity Professional en information-and-network-security robotsllmsaihumans emailphone none
onpointsystems.com 66 match
1 shared topics
Cybersecurity, AI & Business Protection for Commercial Trades | Onpoint Systems en information-and-network-security robotsllmsaihumans emailphone none
thinkcyberhealth.com 66 match
1 shared topics
Cybersecurity Solutions | CyberSec And I en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
3consult-ng.com 66 match
1 shared topics
3Consulting - Expert Data Protection & Cybersecurity Solutions en information-and-network-security robotsllmsaihumans emailphone none
1acyberinc.com 66 match
1 shared topics
Fortify Your Online Presence | Cybersecurity Solutions | 1A Cyber en information-and-network-security robotsllmsaihumans emailphone none
core6plus.com 66 match
1 shared topics
Core6 Plus – Systemized, Real-Time Business CyberSecurity en information-and-network-securityWordPress robotsllmsaihumans emailphone none
toreroriskadvisors.com 66 match
1 shared topics
Cybersecurity Risk Advisors | Torero Risk Advisors en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
2lecybersec.com 66 match
1 shared topics
Stay Updated on Cybersecurity & Data Protection | 2leCyberSecurity en information-and-network-security robotsllmsaihumans emailphone none
core7cybersecurity.com 66 match
1 shared topics
Comprehensive Cybersecurity for Small Business Networks en information-and-network-securityWordPress robotsllmsaihumans emailphone none
fenixcyber.com 66 match
1 shared topics
Fenix Cyber Solutions | Taking the guesswork out of Cybersecurity en information-and-network-securityHubSpot robotsllmsaihumans emailphone none
larss.net 66 match
1 shared topics
Leandro Santos - Leading IT Security Professional en information-and-network-security robotsllmsaihumans emailphone none
3wolf.io 66 match
1 shared topics
Cybersecurity for Small Business | 3Wolf Cybersecurity en information-and-network-security robotsllmsaihumans emailphone partial · 8
0nionresources.com 66 match
1 shared topics
Onion Resources: Connecting Cybersecurity Experts on Tor | Onion Resources en information-and-network-security robotsllmsaihumans emailphone none
onlinepitstop.com 66 match
1 shared topics
Online Pitstop - The best source for news on cybersecurity, cybercrime, privacy and more. en information-and-network-securityWordPressWooCommerce robotsllmsaihumans emailphone none
thevisionarybose.com 66 match
1 shared topics
Cybersecurity Awareness Workshops by Visionary Bose | The Visionary Bose 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:

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.