| What it does | Free security scanning for apps built with AI
| Browser fingerprint and automation detector that cross-checks JavaScript consistency against network layer signals
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| Stage | MVP
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| Founded | Not given
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| Based in | SG
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| Pricing model | Free
| Free
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| Pricing | Free during early access, 5 scans a day
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| Key features | - 55 security checks for common AI-built app mistakes
- Package dependency vulnerability checking
- GitHub integration and ZIP upload
- AI tool fix prompts for Cursor and Claude Code
- File and line number location for each finding
- Plain language security explanations
- Report persistence and code deletion
- Coverage for JavaScript, TypeScript and Python
| - JavaScript fingerprinting across canvas, WebGL, WebGPU, audio, fonts, navigator and screen
- Network layer analysis via Cloudflare request metadata
- Behavioral challenge to verify human interaction
- Open-source package for CI integration
- Passive automation detection via navigator properties and framework residue
- Cross-layer consistency checking between JavaScript and network signals
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| What makes it different | - Deterministic checks that give the same results every time, not variable AI answers
- No AI reads your code during scanning
- Reports designed for people who built the app, not security engineers
- Free with nothing hidden during early access
- Transparent about scan limitations in every report
| - Three independent detection axes that fail separately rather than as one system
- Combines JavaScript analysis with network-layer observations that JavaScript cannot fake
- Educational and defensive tool, not a service for evading detection
- Live read-only measurement with no data storage
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ▲ +1 (up) since last check | 6 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 2 |
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| Citation Flow (Majestic) | 25 | 27 |
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| Referring domains (Majestic) | 16 | 42 |
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Epherem
liarjs.dev