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Application Security Testing | Software Composition Analysis & Open Source Security | SAST/DAST/SCA | Black Duck — 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
sbomhq.com ↗	69 match 2 shared topics	SBOM-HQ \| Analyze SBOMs for Security and Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sbom-hq.com ↗	69 match 2 shared topics	SBOM-HQ \| Analyze SBOMs for Security and Compliance	en	information-and-network-security	robotsllmsaihumans	emailphone	none
scancros.com ↗	69 match 2 shared topics	ScanCros - Application Security Workspace	en	software-and-applications	robotsllmsaihumans	emailphone	none
gaetanocoppoletta.com ↗	69 match 2 shared topics	Gaetano Coppoletta - Software Developer focused on cybersecurity, building security automation and vulnerability intelligence tools.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
marqmercado.com ↗	68 match 2 shared topics	VectorTrace Labs — Security Engineering, Automation & Secure Software	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ahmyth.com ↗	68 match 2 shared topics	AhMyth RAT – Open Source Android Hacking & Security Tool	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	partial · 8
marinov-consulting.com ↗	68 match 2 shared topics	Marinov Consulting \| Software Development & Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
outreach-intellicene.com ↗	68 match 2 shared topics	Intelligent Security Solutions - Physical Security Software	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
sistana.ge ↗	68 match 2 shared topics	SISTANA — Enterprise Software & Infrastructure Security	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
ctrlcore.net ↗	68 match 2 shared topics	Software Security Consultancy & Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
owasp-oasis.com ↗	68 match 2 shared topics	OASIS \| Secure Open Source, Together	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
boesk.com ↗	67 match 2 shared topics	BoesK - Scalable Software for Education & Security	en	software-and-applications	robotsllmsaihumans	emailphone	none
myciso.co ↗	67 match 2 shared topics	MyCISO - The Ultimate Security Operating System	Colombia en	software-and-applications	robotsllmsaihumans	emailphone	none
jayed.me ↗	67 match 2 shared topics	Jayed Ahsan Saad \| Software Engineer & Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	none
boltsro.com ↗	67 match 2 shared topics	BOLT s.r.o. - Modern iOS Applications for Enhanced Security	en	software-and-applications	robotsllmsaihumans	emailphone	none
scanmysaas.com ↗	67 match 2 shared topics	Website Vulnerability Scanner — Free Security Scan for Web Apps \| SecureSaaS	en	information-and-network-security	robotsllmsaihumans	emailphone	none
veracrypt.ch ↗	67 match 2 shared topics	VeraCrypt - Free Open source disk encryption with strong security for the Paranoid	Switzerland en	information-and-network-security	robotsllmsaihumans	emailphone	none
csi4grc.com ↗	67 match 2 shared topics	Audit and Security Software Tools for SAP Environments	en	software-and-applications Joomla	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.