Technology

So from what I understand, theres 2 common ways that browsers combat this. Someone add to or correct me if I'm wrong.

1. Browsers such as Mull combat this by looking the same as every other browser. If you all look the same, it's hard to tell you apart. I believe this is why people recommend using default window size when using Tor.

Ex: Everyone wearing black pants and hoodies with the facemasks. Extremely hard to tell who is who.

2. Browsers such as Brave randomize metadata that fingerprinting collects so that it's more difficult to piece it all together and build a trend/profile on someone.

Ex: look like a dog in one place, a cat in another place. They get data for a dog but that doesn't help build anything if the rest of the data is a cat, hamster, whatever. No way to piece it together to be useful.

In both my examples, there are caveats. Just because everyone dressed the same doesn't mean someone isn't taller or shorter, or skinnier or fatter. There can still be tells to help narrow down. Or a cat that barks like a dog suddenly is more linkable to a dog if that makes sense lol.

In other words it still depends user behavior that can contribute to the effectiveness of these tools.

EDIT: got distracted. To answer your question I don't think so. I think it's more about user behavior blending in or being randomized. I think the only thing an extension would be able to do is possibly randomize the data but I'm unsure of such an extension yet. These aren't the only options, these are just ones I've read about recently. Online behavior, browswr window size, and I'm sure so much more also goes into it. But every little bit helps and is better than nothing.

EDIT2: Added examples for each for clarity.