Pixelscan

Introduction to Pixelscan

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 assess device uniqueness, detect automated traffic, and identify network anomalies such as VPN or proxy usage. The service operates entirely client-side for fingerprinting components, while leveraging Cloudflare edge telemetry for network-level metadata—enabling immediate, zero-configuration assessment without requiring account registration or data submission.

The tool serves as a diagnostic resource for evaluating browser entropy, signal consistency, and potential privacy leaks. It supports technical validation across development, security testing, and anti-fraud workflows by exposing low-level browser and network behaviors that are often opaque to end users and difficult to audit without specialized tooling.

Key Takeaways

• Real-time browser fingerprint analysis using Canvas, WebGL, and AudioContext hashing
• Detection of automation frameworks including Puppeteer, Selenium, and Playwright
• Network-level analysis of IP address, ASN, geolocation, and TLS fingerprints
• WebRTC and DNS leak detection with resolver enumeration and DoH usage identification
• Cross-signal consistency validation to identify timezone mismatches, spoofing, or environmental anomalies
• No registration required; fully functional without user accounts or data persistence
• Free access to all core analysis modules including Network Intel, Browser Fingerprinting, Bot Detection, Consistency Scoring, and Leak Testing

How Pixelscan Works

Pixelscan executes analysis in three coordinated phases. First, during Network Analysis, Cloudflare’s edge infrastructure captures server-side telemetry—including the requesting IP address, autonomous system number (ASN), geographic location, and TLS fingerprint—without requiring client-side interaction. Second, Fingerprint Collection runs client-side JavaScript to extract hardware and software attributes: Canvas and WebGL rendering hashes, audio context fingerprints, screen dimensions, CPU concurrency, device memory, installed fonts, plugins, and MIME types. Third, the Consistency Check layer compares network-derived signals (e.g., geolocation and timezone offset) against browser-reported values (e.g., Intl.DateTimeFormat().resolvedOptions().timeZone and new Date().getTimezoneOffset()) to flag inconsistencies indicative of virtualization, spoofing, or misconfigured environments.

All processing occurs locally in the browser unless explicitly shared via API endpoints. The interface displays discrete metrics per category—such as "Multiple DNS resolvers found" or "Edge metadata unavailable"—to help users interpret signal reliability and environmental constraints. Diagnostic errors (e.g., "Internal Server Error") reflect transient issues in telemetry acquisition rather than user configuration problems.

Core Benefits and Applications

Pixelscan supports practical applications across multiple domains. Developers use it to validate browser compatibility and detect unintended fingerprint surface exposure during front-end testing. Security teams integrate its outputs into threat-hunting playbooks to triage suspicious sessions exhibiting mismatched network/browser signals or known bot framework artifacts. Fraud analysts apply its consistency scoring and IP reputation indicators to augment rule-based transaction risk models—particularly for e-commerce platforms where bot-driven account creation and credential stuffing represent significant vectors. Additionally, privacy researchers leverage its leak tests to audit DNS resolution behavior and WebRTC configuration across network configurations, including corporate proxies and residential VPNs.