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EIP-7702 Phishing Attack

Published: December 13, 2025 | arXiv ID: 2512.12174v1

By: Minfeng Qi , Qin Wang , Ruiqiang Li and more

Potential Business Impact:

Lets hackers steal all your digital money.

Business Areas:
Ethereum Blockchain and Cryptocurrency

EIP-7702 introduces a delegation-based authorization mechanism that allows an externally owned account (EOA) to authenticate a single authorization tuple, after which all subsequent calls are routed to arbitrary delegate code. We show that this design enables a qualitatively new class of phishing attacks: instead of deceiving users into signing individual transactions, an attacker can induce a victim to sign a single authorization tuple that grants unconditional and persistent execution control over the account. Through controlled experiments, we identify three reliable trigger pathways: user-driven, attacker-driven, and protocol-triggered. Each can lead to full account takeover and complete asset drainage. We further propose two extended attack surfaces. First, ERC-4337's EntryPoint pipeline enables remote and repeated activation of the delegated code without further victim involvement. Second, the chain-agnostic authorization mode permits replay-like compromises across independent networks. We also present the first empirical measurement of EIP-7702 usage across major EVM chains. Analyzing over 150k authorization and execution events involving 26k addresses and hundreds of delegator contracts, we assess the protocol's real-world footprint. Our findings show that EIP-7702 authorizations are highly centralized, dominated by a small number of contract families linked to criminal activity and repeatedly reused across incidents. Corresponding loss data reveals substantial theft of ETH, ERC-20 tokens, and NFTs. These results provide practical evidence that the attack surface we identify is not merely theoretical, but is already being exploited at scale. We conclude by proposing protocol-level defenses to mitigate the delegation-based phishing vector introduced by EIP-7702.

Page Count
16 pages

Category
Computer Science:
Cryptography and Security