Pixelscan is a browser fingerprint and bot detection tool designed for developers, security professionals, and fraud prevention teams. It provides real-time analysis of browser-level signals to detect automation, proxies, VPN usage, and anomalous behavior. By leveraging advanced techniques such as Canvas, WebGL, and Audio fingerprinting, along with network indicators, Pixelscan offers a comprehensive approach to browser security and fraud detection.
The tool is built on the Cloudflare edge network, allowing it to capture detailed network metadata, including IP, ASN, geolocation, and TLS fingerprints. It also collects browser-side data such as canvas hashes, WebGL renderers, audio contexts, and hardware signals. This dual-layer analysis helps identify inconsistencies that may indicate malicious activity or spoofing.
Pixelscan operates through three main steps:
This process ensures a robust and accurate assessment of browser behavior, helping users identify potential threats or fraudulent activities.
| Use Case | Description |
|---|---|
| Bot Detection | Identifies automated browser scripts like Puppeteer, Selenium, and Playwright |
| Fraud Prevention | Detects suspicious behavior and spoofed identities |
| Network Security | Analyzes IP, ASN, and geolocation for anomaly detection |
| Browser Security | Provides unique browser identification and leak testing |
| User Trust Score | Offers cross-validation of signals to assess reliability |
By integrating these features, Pixelscan serves as a powerful tool for improving online security and reducing fraud risks.
