Mengying Wu (Fudan University), Geng Hong (Fudan University), Jiatao Chen (Fudan University), Baojun Liu (Tsinghua University), Mingxuan Liu (Zhongguancun Laboratory), Min Yang (Fudan University)

Email addresses serve as a universal identifier for online account management, however, their aliasing mechanisms introduce significant identity confusion between email providers and external platforms. This paper presents the first systematic analysis of the inconsistencies arising from email aliasing, where providers view alias addresses (e.g., [email protected], [email protected]) as additional entrances of the base email ([email protected]), while platforms often treat them as distinct identities.

Through empirical evaluations the alias mechanisms of 28 email providers and 18 online platforms, we reveal critical gaps: (1) Only Gmail fully documents its aliasing rules, while 11 providers silently support undocumented alias behaviors; (2) Due to lack of standardization documentation and de facto implementation, platforms either failed to distinguish alias addresses or over aggressive excluded all emails containing specific symbol. Real-world abuse cases demonstrate attackers exploiting aliases to create up to 139 accounts from a single base email in npm for spam campaigns. Our user study further highlights security risks, showing 31.65% of participants with alias knowledge mistake phishing emails as legitimate emails alias due to inconsistent provider implementations. Users who believe they understand email aliasing, especially those highly educated, male, and technical participants, are more susceptible to being phished.
Our findings underscore the urgent need for standardization and transparency in email aliasing. We contribute the OriginMail tool to help platforms resolve alias confusion and disclose vulnerabilities to affected stakeholders.

View More Papers

MinBucket MPSI: Breaking the Max-Size Bottleneck in Multi-Party Private...

Binbin Tu (School of Cyber Science and Technology, Shandong University; State Key Laboratory of Cryptography and Digital Economy Security, Shandong University), Boyudong Zhu (School of Cyber Science and Technology, Shandong University; State Key Laboratory of Cryptography and Digital Economy Security, Shandong University), Yang Cao (School of Cyber Science and Technology, Shandong University; State Key Laboratory…

Read More

VICTOR: Dataset Copyright Auditing in Video Recognition Systems

Quan Yuan (Zhejiang University), Zhikun Zhang (Zhejiang University), Linkang Du (Xi'an Jiaotong University), Min Chen (Vrije Universiteit Amsterdam), Mingyang Sun (Peking University), Yunjun Gao (Zhejiang University), Shibo He (Zhejiang University), Jiming Chen (Zhejiang University)

Read More

Action Required: A Mixed-Methods Study of Security Practices in...

Yusuke Kubo (NTT DOCOMO BUSINESS, Inc. / Waseda University), Fumihiro Kanei (NTT DOCOMO BUSINESS, Inc.), Mitsuaki Akiyama (NTT, Inc.), Takuro Wakai (Waseda University), Tatsuya Mori (Waseda University / NICT / RIKEN AIP)

Read More