Ka Fun Tang (The Chinese University of Hong Kong), Che Wei Tu (The Chinese University of Hong Kong), Sui Ling Angela Mak (The Chinese University of Hong Kong), Sze Yiu Chau (The Chinese University of Hong Kong)

Various email protocols, including IMAP, POP3, and SMTP, were originally designed as “plaintext” protocols without inbuilt confidentiality and integrity guarantees. To protect the communication traffic, TLS can either be used implicitly before the start of those email protocols, or introduced as an opportunistic upgrade in a post-hoc fashion. In order to improve user experience, many email clients nowadays provide a so-called “auto-detect” feature to automatically determine a functional set of configuration parameters for the users. In this paper, we present a multifaceted study on the security of the use of TLS and auto-detect in email clients. First, to evaluate the design and implementation of client-side TLS and auto-detect, we tested 49 email clients and uncovered various flaws that can lead to covert security downgrade and exposure of user credentials to attackers. Second, to understand whether current deployment practices adequately avoid the security traps introduced by opportunistic TLS and auto-detect, we collected and analyzed 1102 email setup guides from academic institutes across the world, and observed problems that can drive users to adopt insecure email settings. Finally, with the server addresses obtained from the setup guides, we evaluate the sever-side support for implicit and opportunistic TLS, as well as the characteristics of their certificates. Our results suggest that many users suffer from an inadvertent loss of security due to careless handling of TLS and auto-detect, and organizations in general are better off prescribing concrete and detailed manual configuration to their users.

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Yuan Li (Zhongguancun Laboratory & Tsinghua University), Chao Zhang (Tsinghua University & JCSS & Zhongguancun Laboratory), Jinhao Zhu (UC Berkeley), Penghui Li (Zhongguancun Laboratory), Chenyang Li (Peking University), Songtao Yang (Zhongguancun Laboratory), Wende Tan (Tsinghua University)

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Ashley Sheil (Munster Technological University), Jacob Camilleri (Munster Technological University), Michelle O Keeffe (Munster Technological University), Melanie Gruben (Munster Technological University), Moya Cronin (Munster Technological University) and Hazel Murray (Munster Technological University)

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Privacy Preserved Integrated Big Data Analytics Framework Using Federated...

Sarah Kaleem (Prince Sultan University, PSU) Awais Ahmad (Imam Mohammad Ibn Saud Islamic University, IMSIU), Muhammad Babar (Prince Sultan University, PSU), Goutham Reddy Alavalapati (University of Illinois, Springfield)

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Towards LLM-Assisted Vulnerability Detection and Repair for Open-Source 5G...

Rupam Patir (University at Buffalo), Qiqing Huang (University at Buffalo), Keyan Guo (University at Buffalo), Wanda Guo (Texas A&M University), Guofei Gu (Texas A&M University), Haipeng Cai (University at Buffalo), Hongxin Hu (University at Buffalo)

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