| What it does | Browser fingerprint and automation detector that cross-checks JavaScript consistency against network layer signals
| Engineering What's Next
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| Stage | Not given
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| Pricing model | Free
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| Key features | - 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
| - Software Engineering
- Artificial Intelligence
- Data Infrastructure
- IoT & Embedded Systems
- Technical & Delivery Advisory
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| What makes it different | - 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
| - Combines deep technical expertise across multiple disciplines to build integrated technology systems
- Proprietary technology products designed for African institutions and enterprises
- Advanced, adaptable, and practical to implement technology systems
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 6 ● no change since last check | 18 ● no change since last check |
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| Trust Flow (Majestic) | 2 | 0 |
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| Citation Flow (Majestic) | 27 | 0 |
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| Referring domains (Majestic) | 42 | 1 |
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liarjs.dev