解读 WeChat 生态系统中的隐私问题
该报告通过审查 WeChat 应用程序在其各种功能正常运行期间收集并发送到 WeChat 服务器的数据,对流行应用程序 WeChat 的隐私问题进行了分析。我们发现,他们收集的使用数据多于 WeChat 隐私政策中披露的程度。
该报告通过审查 WeChat 应用程序在其各种功能正常运行期间收集并发送到 WeChat 服务器的数据,对流行应用程序 WeChat 的隐私问题进行了分析。我们发现,他们收集的使用数据多于 WeChat 隐私政策中披露的程度。
這份報告檢視熱門應用程式 WeChat 在其各種功能的正常運作過程中所蒐集並傳送至 WeChat 伺服器的資料,以此分析該應用程式存在的隱私問題。我們發現,WeChat 蒐集的使用資料比在隱私權政策中公布的還要多。
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.
In order to build up its censorship algorithm, WeChat surveils international accounts to decide what gets through to China-registered users. A Citizen Lab study finds that the messaging app blacklisted more than 500 keyword combinations relating to the COVID-19 pandemic.
On May 7 2020, the Citizen Lab published a report that documents how WeChat (the most popular social app in China) conducts surveillance of images and files shared on the platform and uses the monitored content to train censorship algorithms. This document provides a summary of the research findings and questions and answers from the research team.
WeChat communications conducted entirely among non-China-registered accounts are subject to pervasive content surveillance that was previously thought to be exclusively reserved for China-registered accounts.
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.
Citizen Lab research showed that, at the time, WeChat seemed to use a relatively crude comparison between banned images and content uploaded to the site in order to decide what to block.
New Citizen Lab research reveals how China’s most popular app filters sensitive images and suggests techniques for evasion.