Posts tagged “WeChat”

Should We Chat? Privacy in the WeChat Ecosystem

We conducted the first analysis of WeChat’s tracking ecosystem. Using reverse engineering methods to intercept WeChat’s network requests, we identified exactly what types of data the WeChat app is sending to its servers, and when. This report is part one of a two-part series on a privacy and security analysis of the WeChat ecosystem.

Privacy in the WeChat Ecosystem Explained

This FAQ accompanies the full report on privacy in the WeChat ecosystem. We analyzes privacy issues with popular app WeChat by reviewing the data collected by the app and sent to WeChat servers during the regular operation of its various features. We find that they collect more usage data than is disclosed in the WeChat privacy policy.





Citizen Lab at FOCI ’19

This year, Citizen Lab researchers will present on issues ranging from WeChat image filtering to the methodologies used for identifying commercial spyware abuses.

“未阅先焚” 2: 微信如何实现实时审查用户对话中的敏感图片


(Can’t) Picture This 2: An Analysis of WeChat’s Realtime Image Filtering in Chats

In this work, we study how Tencent implements image filtering on WeChat. We found that Tencent implements realtime, automatic censorship of chat images on WeChat based on what text is in an image and based on an image’s visual similarity to those on a blacklist. Tencent facilitates this realtime filtering by maintaining a hash index of MD5 hashes of sensitive image files.