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WalletProbe: A Testing Framework for Browser-based Cryptocurrency Wallet Extensions

1 Pith paper cite this work. Polarity classification is still indexing.

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abstract

Serving as the first touch point for users to the cryptocurrency world, cryptocurrency wallets allow users to manage, receive, and transmit digital assets on blockchain networks and interact with emerging decentralized finance (DeFi) applications. Unfortunately, cryptocurrency wallets have always been the prime targets for attackers, and incidents of wallet breaches have been reported from time to time. Although some recent studies have characterized the vulnerabilities and scams related to wallets, they have generally been characterized in coarse granularity, overlooking potential risks inherent in detailed designs of cryptocurrency wallets, especially from perspectives including user interaction and advanced features. To fill the void, in this paper, we present a fine-grained security analysis on browser-based cryptocurrency wallets. To pinpoint security issues of components in wallets, we design WalletProbe, a mutation-based testing framework based on visual-level oracles. We have identified 13 attack vectors that can be abused by attackers to exploit cryptocurrency wallets and exposed 21 concrete attack strategies. By applying WalletProbe on 39 widely-adopted browser-based wallet extensions, we astonishingly figure out all of them can be abused to steal crypto assets from innocent users. Identified potential attack vectors were reported to wallet developers timely and 26 issues have been patched already. It is, hence, urgent for our community to take action to mitigate threats related to cryptocurrency wallets. We promise to release all code and data to promote the development of the community.

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cs.AI 1

years

2026 1

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CONDITIONAL 1

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representative citing papers

ChainClaw: A Layered Agent Framework for Reliable On-Chain Execution

cs.AI · 2026-08-06 · conditional · novelty 5.0

ChainClaw is a blockchain-native LLM agent framework that closes reactivity, irreversibility, and observability gaps with an event-driven orchestration layer, a simulation-based safety pipeline, and on-chain monitoring, and reports superior scores on a purpose-built benchmark.

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Showing 1 of 1 citing paper.

  • ChainClaw: A Layered Agent Framework for Reliable On-Chain Execution cs.AI · 2026-08-06 · conditional · none · ref 12 · internal anchor

    ChainClaw is a blockchain-native LLM agent framework that closes reactivity, irreversibility, and observability gaps with an event-driven orchestration layer, a simulation-based safety pipeline, and on-chain monitoring, and reports superior scores on a purpose-built benchmark.