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Sites similar to attackvector.tech

Attackvector alternatives & similar sites

Free AI-Powered Penetration Testing | Scan Your Website for Vulnerabilities — 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
sitescanai.app ↗	75 match 2 shared topics	SiteScan AI – AI-Powered Website Security & Vulnerability Scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
astvlive.com ↗	71 match 2 shared topics	Dark Asura - AI Security & Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ptass.com ↗	70 match 2 shared topics	PTasS - AI Penetration Testing as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dosonet.com ↗	69 match 2 shared topics	DosoNet \| AI-Powered Information Security Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
inuashield.com ↗	69 match 2 shared topics	Inua Shield — Autonomous AI Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
inuashield.ai ↗	69 match 2 shared topics	Inua Shield — Autonomous AI Penetration Testing	en	information-and-network-security	robotsllmsaihumans	emailphone	none
escape.tech ↗	67 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
attestd.io ↗	67 match 2 shared topics	attestd \| CVE API for Machine-Readable Vulnerability Risk Signals	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vortexzen.com ↗	67 match 2 shared topics	VortexZen — AI-Powered Cybersecurity for Real People	en	information-and-network-security Gumroad	robotsllmsaihumans	emailphone	none
intruex.com ↗	67 match 2 shared topics	Intruex \| AI-Powered Security Operations	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skionlabs.com ↗	67 match 2 shared topics	Skion - AI-Powered Web Deception & Honeypot Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sirveil.ai ↗	67 match 2 shared topics	Sirveil — AI-Powered Privacy Protection	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
360sec.com ↗	67 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
espectrosint.com ↗	66 match 2 shared topics	espectrosint — AI-Powered OSINT & Data Investigation	Brazil~ en	artificial-intelligence	robots llmsaihumans	emailphone	none
volerion.com ↗	66 match 2 shared topics	Vulnerability Intelligence API \| Volerion	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vorota.ai ↗	66 match 2 shared topics	Vorota AI \| Security Testing at Machine Speed	en	information-and-network-security	robots llmsaihumans	emailphone	none
astreoninnovations.com ↗	66 match 2 shared topics	Astreon Innovations \| AI-Powered Cybersecurity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
protectyr.com ↗	66 match 2 shared topics	Protectyr \| AI-Powered Cybersecurity for Small Business	en	information-and-network-security	robots llmsaihumans	emailphone	full · 13

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.