微信是一個具有許多功能的應用程式。之前我們研究過圍繞小程式的隱私問題，以及微信對文字和圖片訊息的監視及審查。在這項研究中，我們主要關注微信的網路加密協定及其安全性。

我们分析了腾讯的搜狗输入法，该输入法的月活跃用户超过 4.5 亿，是中国最受欢迎的中文输入法。

我們分析了騰訊的搜狗拼音輸入法，該輸入法每月活躍使用者超過 4.5 億，是中國最受歡迎的中文輸入法。

In this report, we analyze the Windows, Android, and iOS versions of Tencent’s Sogou Input Method, the most popular Chinese-language input method in China. Our analysis found serious vulnerabilities in the app’s custom encryption system and how it encrypts sensitive data. These vulnerabilities could allow a network eavesdropper to decrypt sensitive communications sent by the app, including revealing all keystrokes being typed by the user. Following our disclosure of these vulnerabilities, Sogou released updated versions of the app that identified all of the issues we disclosed.

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.

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.

These comments are meant to identify areas of data governance that need improvement with regards to the Government of Canada’s use of mobility data, and personal and anonymized information more generally, as well as the management of such information by private organisations.

On September 28, the Citizen Lab published an analysis of COVID-19 data collection practices. In this post, we discuss the significance of the findings with report authors.

In this report, we undertake a preliminary comparative analysis of how different information technologies were mobilized in response to COVID-19 to collect data, the extent to which Canadian laws impeded the response to COVID-19, and the potential consequences of reforming data protection or privacy laws to enable more expansive data collection, use, or disclosure of personal information in future health emergencies.

In this explainer, we discuss the findings of our comparative analysis of security, privacy, and censorship issues in TikTok and Douyin.