I was going to make a snarky comment to match yours, but perhaps you
dont know what terms to use to make a good search.
There has been a lot of research for many years focussing on Tor traffic.
Some on identifying Tor and obfuscated Tor, within normal streams. Some
on identifying the type of traffic within Tor streams. There’s already
significant work on identifying content within encrypted schemes.
There’s an interesting paper from 2022 that suggests approaches to
traffic analysis that allow for accurate identification of malware
communication in Tor. Not only were they able to identify the malware,
they were able to identify the class of malware from within the Tor
traffic.
Priyanka Dodia, Mashael AlSabah, Omar Alrawi, and Tao Wang. 2022. Ex-
posing the Rat in the Tunnel: Using Traffic Analysis for Tor-based Malware
Detection. In Proceedings of the 2022 ACM SIGSAC Conference on Computer
and Communications Security.
For a good overview of the field, there’s a literature review from 2024:
J. Saleem, R. Islam and M. Z. Islam, “Darknet Traffic Analysis: A Systematic Literature Review,” in IEEE Access, vol. 12, pp. 42423-42452, 2024, doi: 10.1109/ACCESS.2024.3373769.
This contains excellent summaries of different approaches taken, as well
as (naturally) references to other papers in the field. Definitely a
good place from which to start.
Once you dig in to this you will see that there is considerable work
being done on identifying traffic patterns of specific web sites, and
complex behaviors. In this thread there has been reference to specific
behavior of Qubes and Whonix, and these could be used to fingerprint
Qubes and Whonix users even if they have configured their systems
to run entirely across Tor.
The Tor project line on this seems to be that it’s all academic, and overstated.
Whenever I read this sort of criticism, I always think of Clifford Cocks.
I never presume to speak for the Qubes team.
When I comment in the Forum I speak for myself.