> Canvas Fingerprinting. They draw an image in the background using vector graphic commands. Afterwards they save the image to a rasterized PNG. This data is quite unique among different devices depending on settings and hardware. > They also use audio fingerprinting to identify visitors. This doesn’t mean they actually use your microphone or speaker. Instead they generate a sound internally and record the bitstream,…
AFAIK browser fingerprinting (eg: Fingerprintjs2[0]) at least is nothing like fingerprints at all. It's not accurate and cannot identify a specific person. For websites like TikTok, the same fingerprint might points to 10k different people, instead of an individual. A most common use case is like 'Remember me' option when logging in if they haven't switched their device, but they actually can find other devices that have the same fingerprint.
For example, the most widely used library Fingerprintjs2 uses all the factors that can be grab from the browser (Browser agent, CPU, OS, resolution, etc), and generate a hash from those factors. Even their 'pro' version can only claim 99.5% accuracy, though I doubt the number is actually even lower. For 1M people userbase, it's 5000 people for 0.5% of the population.