Lune

USENIX Security2026顶会

Designing Wallet-Based User Intervention for Approval Phishing Mitigation

Maggie Yongqi Guan, Yuqi Xu, Yunlong Mao, Wei Tong, Xiaobo Zhou, Kanye Ye Wang

出版方
2026年份

摘要

Approval phishing is a form of Web3 phishing that exploits token approval mechanisms to trick users into granting attackers spending authority over their tokens. As attackers increasingly hijack legitimate websites, URL-based detection alone becomes insufficient, leaving crypto wallets as the last line of defense. Based on the characteristics of approval mechanisms, we propose four wallet-based interventions for mitigating approval phishing: Spending Cap Suggestion, Active Spender Warning, Passive Spender Warning, and Delayed Confirmation. We evaluate the interventions through a between-subjects experiment (n = 364) and semistructured interviews (n = 23). Compared with the control group, the Spending Cap Suggestion condition significantly increases the likelihood that users set spending caps. The Active Spender Warning, Passive Spender Warning, and Delayed Confirmation conditions all increase cancellation rates of phishing tasks, although the increases are statistically significant only for Active Spender Warning and Delayed Confirmation conditions. The effectiveness of the interventions varies across users, as users may struggle to interpret suspicious cues and focus on transaction outcomes while overlooking approval details. Our findings highlight the need to strengthen defenses against such attacks by increasing users' awareness of post-approval consequences and supporting approvalparameter verification at the moment of authorization.

1 Another delivery approach resembles traditional phishing: attackers create a spoofed DApp site that imitates a legitimate service and distribute its URL through social channels to lure users. Once users land on the spoofed site, the workflow aligns with the steps described above: they connect their wallets and sign an approval transaction that is presented as legitimate but authorizes an attacker-controlled spender.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

它引用的顶会 Paper13

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖