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., ALICE@example.com, alice+work@example.com) as additional entrances of the base email (alice@example.com), 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

The Things That Count: Coverage Evaluation Under the Microscope...

Tobias Holl (Ruhr University Bochum), Leon Weiß (Ruhr University Bochum), Kevin Borgolte (Ruhr University Bochum)

Read More

SysArmor: The Practice of Integrating Provenance Analysis into Endpoint...

Shaofei Li (Peking University), Jiandong Jin (Peking University), Hanlin Jiang (Peking University), Yi Huang (Peking University), Yifei Bao (Jilin University), Yuhan Meng (Peking University), Fengwei Hong (Peking University), Zheng Huang (Peking University), Peng Jiang (Southeast University), Ding Li (Peking University)

Read More

Icarus: Achieving Performant Asynchronous BFT with Only Optimistic Paths

Xiaohai Dai (Huazhong University of Science and Technology), Yiming Yu (Huazhong University of Science and Technology), Sisi Duan (Tsinghua University), Rui Hao (Wuhan University of Technology), Jiang Xiao (Huazhong University of Science and Technology), Hai Jin (Huazhong University of Science and Technology)

Read More