Shushang Wen (School of Cyber Science and Technology, University of Science and Technology of China), Yiming Zhang (Tsinghua University), Yuxiang Shen (School of Cyber Science and Technology, University of Science and Technology of China), Bingyu Li (School of Cyber Science and Technology, Beihang University), Haixin Duan (Tsinghua University; Zhongguancun Laboratory), Jingqiang Lin (School of Cyber Science and Technology, University of Science and Technology of China)

Email clients that support auto-configuration mechanisms automatically retrieve server configuration information, such as the hostname, port number, and connection type, allowing users to log in by simply entering email addresses and passwords. Auto-configuration mechanisms are being increasingly adopted. However, the security implications of these mechanisms, both in terms of implementation and deployment, have not yet been thoroughly studied. In this paper, we present the first systematic analysis of security threats associated with email auto-configuration and evaluate their impacts. We summarize 10 attack scenarios, covering 17 defects (including 8 newly identified ones), along with 4 inadequate client UI notifications. These attack scenarios can either cause a victim to connect to an attacker-controlled server or establish an insecure connection, putting the victim’s credentials at risk. Moreover, our large-scale measurements and in-depth analysis revealed serious insecurity of auto-configuration applications in the wild. On the server-side, we discovered 49,013 domains, including 19 of the Top-1K popular domains, were misconfigured. On the client-side, 22 out of 29 clients were vulnerable to those threats. Moreover, 27 out of 29 clients exhibited at least one UI-notification defect that facilitates silent attacks. These defects arise from misconfiguration, mismanagement, flawed implementation and compatibility. We hope this paper raises attention to email auto-configuration security.

View More Papers

Rediscovering Method Confusion in Proposed Security Fixes for Bluetooth

Maximilian von Tschirschnitz (Technical University of Munich), Ludwig Peuckert (Technical University of Munich), Moritz Buhl (Technical University of Munich), Jens Grossklags (Technical University of Munich)

Read More

Repurposing Neural Networks for Efficient Cryptographic Computation

Xin Jin (The Ohio State University), Shiqing Ma (University of Massachusetts Amherst), Zhiqiang Lin (The Ohio State University)

Read More

On the Realism of LiDAR Spoofing Attacks against Autonomous...

Takami Sato (University of California, Irvine), Ryo Suzuki (Keio University), Yuki Hayakawa (Keio University), Kazuma Ikeda (Keio University), Ozora Sako (Keio University), Rokuto Nagata (Keio University), Ryo Yoshida (Keio University), Qi Alfred Chen (University of California, Irvine), Kentaro Yoshioka (Keio University)

Read More

AegisSat: A Satellite Cybersecurity Testbed

Roee Idan, Roy Peled, Aviel Ben Siman Tov, Eli Markus, Boris Zadov, Ofir Chodeda, Yohai Fadida (Ben Gurion University of the Negev), Oliver Holschke, Jan Plachy (T-Labs (Research & Innovation)), Yuval Elovici, Asaf Shabtai (Ben Gurion University of the Negev)

Read More