April 2024 - anti-censorship-team - lists.torproject.org

Mac app / Safari extension for Snowflake
by David Fifield 02 Oct '25

02 Oct '25

Browsing through some search results, I found: https://apps.apple.com/us/app/torproject-snowflake/id1597501940 (https://web.archive.org/web/20220222083316/https://apps.apple.com/us/app/to…) https://github.com/jayluxferro/snowflake It looks like a repackaging of the Snowflake JavaScript proxy code for Mac and Safari environments. Maybe we could get in touch with the developer and find a way to adopt it into the main repository?

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Microsoft announces shutting down domain fronting attempts in Azure
by Cecylia Bocovich 18 Nov '24

18 Nov '24

It looks like Azure is going to shutdown domain fronting: https://www.microsoft.com/security/blog/2021/03/26/securing-our-approach-to… There isn't a time frame listed in the article, and I haven't gotten any notifications through my Azure account yet. Cecylia

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Is there any way to bypass Tor block on OpenWRT
by Eli Eli 24 Apr '24

24 Apr '24

Hi!I have issue to add moats to my OpenWRT Tor.Can anyone help me with this?Here is my main post on GL-Inet forum:forum[.]gl-inet[.]com/t/how-to-bypass-tor-block-on-mudi/41336

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Ansible for Tor Network Webtunnel Bridges
by Jacobo Nájera 19 Apr '24

19 Apr '24

Hi, Share this Ansible role for Webtunnel, with which you can install, configure, and operate Tor network Webtunnel bridges. Currently, it supports installing bridges on Debian, with support for other operating systems coming soon. Repository with the Ansible role for Webtunnel https://github.com/nvjacobo/webtunnel In the Ansible Galaxy repository https://galaxy.ansible.com/nvjacobo/webtunnel A small guide to use the role https://acuare.la/en/ansible-webtunnel-bridges-tor-network/ Feedback are welcome! Thanks, Jacobo

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"Snowflake Anonymous Network Traffic Identification", November 2023
by David Fifield 19 Apr '24

19 Apr '24

Snowflake Anonymous Network Traffic Identification Yuying Wang, Guilong Yang, Dawei Xu, Cheng Dai, Tianxin Chen, Yunfan Yang https://link.springer.com/chapter/10.1007/978-981-99-9247-8_40 This paper tries to detect Snowflake by focusing on the DTLS transfer. Unlike the F-ACCUMUL paper (https://www.mdpi.com/2076-3417/13/1/622) however, it doesn't use DTLS handshake features, but rather traffic analysis features such as packet lengths and interarrival times. Their classifier is a multilayer perceptron, though they also try SVM, random forest, and naive Bayes. The experiment is a closed world consisting of Snowflake, Facebook Messenger, Google Hangouts, and Discord. They don't evaluate realistic base rates: the most imbalanced evaluation they try is 40:1 (Figure 5). In short, it doesn't look like there is much to learn from this paper. > Traffic identification is a dynamic process, and as we identify > traffic features, Snowflake developers may modify these features to > render our model ineffective. This could lead to an ongoing > cat-and-mouse situation. It is necessary to continually collect > traffic data to maintain a high level of accuracy. In the future, we > hope to automate this process to adapt to updates and changes in > Snowflake versions. Unusually, the authors have publised the Docker image they used to generate training and test data: https://hub.docker.com/layers/xinbigworld/ubuntu/1.2/images/sha256-3213fded…

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