When Specifications Meet Reality: Uncovering API Inconsistencies in Ethereum Infrastructure

TL;DR

APIDiffer is a novel specification-guided differential testing framework that automatically detects API inconsistencies in Ethereum clients, uncovering numerous bugs and improving testing coverage.

Contribution

It introduces a new automated testing approach leveraging specifications and large language models to identify API bugs across Ethereum's diverse client ecosystem.

Findings

Uncovered 72 API bugs in Ethereum clients, with most confirmed or fixed.

Achieved up to 89.67% higher code coverage than existing tools.

Reduced false positives by 37.38%, improving testing reliability.

Abstract

The Ethereum ecosystem, which secures over $381 billion in assets, fundamentally relies on client APIs as the sole interface between users and the blockchain. However, these critical APIs suffer from widespread implementation inconsistencies, which can lead to financial discrepancies, degraded user experiences, and threats to network reliability. Despite this criticality, existing testing approaches remain manual and incomplete: they require extensive domain expertise, struggle to keep pace with Ethereum's rapid evolution, and fail to distinguish genuine bugs from acceptable implementation variations. We present APIDiffer, the first specification-guided differential testing framework designed to automatically detect API inconsistencies across Ethereum's diverse client ecosystem. APIDiffer transforms API specifications into comprehensive test suites through two key innovations: (1) specification-guided test input generation that creates both syntactically valid and invalid requests enriched with real-time blockchain data, and (2) specification-aware false positive filtering that leverages large language models to distinguish genuine bugs from acceptable variations. Our evaluation across all 11 major Ethereum clients reveals the pervasiveness of API bugs in production systems. APIDiffer uncovered 72 bugs, with 90.28% already confirmed or fixed by developers. Beyond these raw numbers, APIDiffer achieves up to 89.67% higher code coverage than existing tools and reduces false positive rates by 37.38%. The Ethereum community's response validates our impact: developers have integrated our test cases, expressed interest in adopting our methodology, and escalated one bug to the official Ethereum Project Management meeting.