Full Answer

Apple's approach to fingerprinting prevention is systematic rather than selective. Instead of maintaining a blocklist of known fingerprinting scripts, Safari reduces the uniqueness of the information every website can access about the browser and device. This makes all fingerprinting techniques less effective simultaneously.

Canvas fingerprinting draws invisible graphics and reads the pixel output, which varies slightly between devices due to GPU and driver differences. Safari adds noise to canvas readback operations, producing slightly different results each time and preventing a stable fingerprint. Font enumeration reveals which fonts are installed on a system — a surprisingly unique identifier. Safari restricts JavaScript access to system fonts, exposing only a standardized set regardless of what the user has installed.

WebGL fingerprinting extracts GPU model and driver information through rendering capabilities. Safari masks the WebGL renderer and vendor strings, returning generic values instead of specific hardware identifiers. Audio context fingerprinting uses the Web Audio API to generate audio signals that vary by hardware — Safari limits the precision of audio processing output to prevent this.

For WooCommerce store owners, these protections mean that any tracking strategy relying on browser fingerprinting for user identification is fundamentally unreliable on Safari — which represents 25–35% of traffic for most consumer ecommerce stores. The architectural alternative is server-side identity resolution using first-party data. When a customer creates an account or completes a purchase, their identity is stored in your database and associated with future sessions through authenticated login rather than browser characteristics.