A Black-Box Privacy Analysis of Messaging Service Providers' Chat Message Processing

Robin Kirchner, Simon Koch, Noah Kamangar, David Klein, Martin Johns
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Abstract

Online messaging has rapidly emerged as today's primary communication platform, extending from personal, to business and even to government channels. But can these services be trusted to maintain the privacy of your communication? This paper addresses this question by evaluating 105 different online messaging platforms. Utilizing “honey” messages and active HTTP(S) , WebSocket, and WebRTC traffic monitoring, along with continuous observation of honey token access, we determine which messaging services process user messages beyond mere transmission. We conduct a large-scale honey token-based study on 69 popular web and 36 mobile messaging applications. Our findings reveal that 34 % of messaging services show capabilities of server-side message analysis. Seven of these messengers evidently conduct an extended analysis of the messages, reusing the results hours to an observed maximum of a month after the chat concluded. This shows that one cannot automatically expect the same confidentiality when chatting via messengers compared to in-person communication.
信息服务提供商聊天信息处理的黑盒隐私分析
在线信息已迅速成为当今的主要通信平台,从个人到企业,甚至延伸到政府渠道。但是,这些服务在维护通信隐私方面值得信赖吗?本文通过对 105 个不同的在线信息平台进行评估来解决这个问题。利用 "蜜糖 "信息和主动 HTTP(S)、WebSocket 和 WebRTC 流量监控,以及对蜜糖令牌访问的持续观察,我们确定了哪些信息服务会在单纯传输之外处理用户信息。我们对 69 个流行的网络和 36 个移动消息应用程序进行了大规模的基于蜂蜜令牌的研究。我们的研究结果表明,34% 的信息服务具备服务器端信息分析能力。其中 7 款信息服务显然对信息进行了长时间的分析,在聊天结束后的数小时内重复使用分析结果,最长时间达一个月。这表明,与面对面交流相比,人们不能自动期望通过聊天工具聊天时具有相同的保密性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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