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Bugscale - Offensive Security & Application Security | Bugscale SA — 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
vlocksecurity.com ↗	75 match 1 shared topics	Vlock Security \| Offensive Security & Penetration Testing — Washington DC	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
vladligai.com ↗	75 match 1 shared topics	Vlad Ligai - Security Engineer \| Application Security Expert	en	information-and-network-security	robotsllmsaihumans	emailphone	full · 16
aniltadvi.com ↗	74 match 1 shared topics	Anil Tadvi \| Offensive Security Researcher	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cyberline.uk ↗	74 match 1 shared topics	Cyberline — Precision Offensive Security	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
ssbugs.com ↗	74 match 1 shared topics	ProteQon — Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anmasec.com ↗	73 match 1 shared topics	Cybersecurity Consultancy & Offensive Security – ANMASEC	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fernandoromo.net ↗	73 match 1 shared topics	Fernando Rodríguez - Offensive Security Analyst	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
omnia-sec.com ↗	73 match 1 shared topics	Omnia Security \| Offensive Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberhack.id ↗	73 match 1 shared topics	CyberHack.id — Offensive Security, Enterprise Readiness, Web3 & AI Security	Indonesia en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0xpolar.com ↗	73 match 1 shared topics	0xpolar - Cybersecurity Research & Offensive Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
danefortun.com ↗	73 match 1 shared topics	Dane Fortun \| Cybersecurity Student & Offensive Security Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mediahacks.org ↗	72 match 1 shared topics	RoseCross LLC \| Offensive Security Consulting	en	information-and-network-security	robotsllmsaihumans	email phone	none
onairsoft.com ↗	72 match 1 shared topics	RoseCross LLC \| Offensive Security Consulting	en	information-and-network-security	robotsllmsaihumans	email phone	none
0xprasanna.com ↗	72 match 1 shared topics	Prasanna \| Application Security Portfolio	en	information-and-network-security	robotsllmsaihumans	email phone	none
boostsecurity.io ↗	72 match 1 shared topics	Application Security Management & Supply Chain Protection \| BoostSecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
facsecurity.com ↗	72 match 1 shared topics	FacSecurity — Cybersecurity & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	email phone	none
stanchionsecurity.com ↗	72 match 1 shared topics	Stanchion Security \| Cybersecurity & AI Governance Advisory	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0block.org ↗	72 match 1 shared topics	0block — We break it before they do. \| Offensive Security & Penetration Testing	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.