Contract Fuzzing Corpus Minimizer

WHAT IT DOES

Contract Fuzzing Corpus Minimizer reduces fuzzing test corpora to their minimal essential form for smart contract security testing. It analyzes on-chain contract bytecode retrieved via eth_getCode for target contract addresses, cross-references verified source code and ABIs from block explorer APIs to understand function signatures and coverage mapping, and processes historical transaction calldata and traces from past fuzzing campaigns. The tool identifies which test cases actually exercise distinct code paths and discards redundant inputs that merely repeat the same coverage. It accepts current wallet address and chain ID from BGWallet for context, and optionally integrates GitHub repository data to align with existing fuzzing configurations and coverage reports. The output is a minimized corpus that maintains the same coverage surface as the original but with dramatically fewer test cases, enabling faster subsequent fuzzing runs and more efficient regression testing.

HOW TO USE

Connect your BGWallet to the target EVM chain. Provide the contract address you wish to analyze and the fuzzing campaign ID or path to your existing corpus files. The tool fetches bytecode, verification data, and ABI automatically. It then requests historical transaction traces and calldata from your fuzzing campaign via RPC and block explorer APIs. After analyzing coverage data, it produces a minimized corpus file containing only the essential test cases. You can optionally supply a GitHub repository URL to pull existing coverage reports and fuzzing configurations for more precise minimization. The output corpus is ready to be used with your fuzzing framework.

ADAPTIVE CHUNKING AND BACKOFF LOGIC

The real mechanism that makes this tool robust is its adaptive chunking and backoff system for log and trace retrieval. Public RPC endpoints and block explorers enforce varying rate limits and block range caps, often failing entire requests when a single range is too wide. This minimizer automatically detects the maximum safe block range for each RPC provider by probing and dynamically adjusting chunk sizes. When a request fails with a rate limit error, it applies exponential backoff and retries with smaller chunks rather than aborting the entire scan. For block explorers, it parallelizes verification data requests while respecting per-second quotas, and if a particular endpoint returns incomplete data, it automatically fails over to alternative explorer APIs. This ensures that even with restrictive public infrastructure, the tool can gather the necessary coverage and trace data without manual intervention or constant rate-limit frustration.

WHAT IT CANNOT SEE

This tool cannot minimize corpora without access to coverage data or fuzzing campaign results. It is limited by your RPC provider's rate limits and block range availability for historical log queries, which may prevent complete trace retrieval on congested or highly archival networks. It cannot analyze coverage for contracts that are not verified or have opaque implementation details such as proxy patterns where the implementation address is not discoverable. The accuracy of minimization depends entirely on the completeness of contract verification, coverage data, and transaction trace information provided by external APIs. It cannot guarantee that the minimized corpus retains all interesting edge cases without manual review; some subtle state-dependent bugs may require manual inspection to ensure they are not discarded. The tool is also limited to the specific contract instances and fuzzing campaign data that are accessible via your configured RPC endpoints and API keys.

PLEASE NOTE

This tool works exclusively with EVM-compatible chains. It requires active internet connectivity to access block explorer APIs and RPC endpoints. Some block explorers may require API keys for high-volume usage. The minimizer does not execute contracts or run fuzzing campaigns itself; it only processes existing coverage data and transaction traces. Always review minimized corpora manually before relying on them for security-critical testing.