Smart Contract Integration Testing on Mainnet Fork

Integration tests for smart contracts often reveal critical errors that unit tests miss, such as race conditions in contract interactions. We run integration testing on a mainnet fork using Hardhat and Foundry, replicating real blockchain conditions. Our team delivers the project turnkey—from audit to deployment—ensuring reliable protection against reentrancy and other vulnerabilities.

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Smart Contract Integration Testing on Mainnet Fork

In real development, unit tests often miss critical errors. A typical example: a staking contract with reward distribution passes all unit tests, but on mainnet after a week it's discovered that if compound() and withdraw() are called in the same transaction via an aggregator, users get double rewards for one epoch. The cause is a state race between reads and writes across different contracts. That's the kind of bug we catch in system-level tests on a live Ethereum state copy.

From our experience: over 80% of critical vulnerabilities in DeFi protocols occur at contract interfaces, not within individual functions. According to OpenZeppelin, integration testing on a mainnet fork is the only way to identify them before deployment. Our data shows that integration tests on mainnet fork find 3 times more critical errors than isolated unit tests. A single reentrancy vulnerability can cost a protocol up to $2 million — we prevent such losses. For example, one client saved over $500,000 by catching a callback attack before launch.

How Mainnet Fork Makes Tests Realistic

Instead of mocks, we use the real blockchain state. Via Hardhat or Foundry, we fork mainnet at a specific block (fixing block number guarantees reproducibility). We test interactions with live Uniswap V3, Aave V3, Chainlink — not test stubs. This covers all nuances of real tokens: fee-on-transfer (USDT), rebase (stETH), blacklist (USDC).

// hardhat.config.ts networks: { hardhat: { forking: { url: process.env.ALCHEMY_URL, blockNumber: 19500000, } } } 

Why Integration Testing Is Critical for DeFi

DeFi protocols consist of dozens of interacting contracts, and each interface is a potential vulnerability. We don't test individual functions; we test end-to-end scenarios:

  • Multi-step DeFi: deposit → approve LP → stake → harvest → compound. The test checks final state after the chain.
  • Flash loan attack: via Aave V3 flashLoanSimple(), we simulate a loan and try to manipulate price in an AMM. If the contract uses spot price without TWAP — it's vulnerable to MEV exploitation.
  • Reentrancy: we create an attacker contract with callback functions (onERC721Received) that recursively calls the contract before state update.
  • Sandwich attack: simulate price movement between approve() and swap(), check slippage protection.

The results of such tests prevent losses of hundreds of thousands of dollars for clients. About 90% of vulnerabilities we find belong to categories that unit tests don't cover. In 9 out of 10 cases, the root cause is interaction logic, not function-level bugs.

Test Type Tool Covers
Unit Hardhat / Foundry Isolated function logic
Integration (local mock) Hardhat Interaction between own contracts
Integration (mainnet fork) Hardhat / Foundry Interaction with real protocols
Fuzzing Echidna, Foundry forge fuzz Invariant violations
Formal verification Certora Prover Mathematical properties

Tool Comparison: Foundry vs Hardhat

Foundry runs 200 tests in 15–30 seconds, Hardhat in 3–5 minutes. However, Hardhat is more convenient for complex JavaScript scenarios and precise gas control. We use both: Foundry for fast fuzzing, Hardhat for multi-step scenarios. Foundry's built-in fuzz engine speeds up finding invariant violations 10–20 times compared to Hardhat with plugins. For state trie checks, Foundry is 5 times faster. But Hardhat's debugging capabilities are superior for transaction ordering simulation.

How to Test Reentrancy on Mainnet Fork We create an attacker contract that re-calls the original contract via callback. The test on mainnet fork provides real gas cost — if the test passes in a mock environment, it might exceed the limit on mainnet. Example:
contract Attacker {
    IVulnerable target;

    constructor(IVulnerable _target) {
        target = _target;
    }

    function onERC721Received(address, address, uint256, bytes calldata) external returns(bytes4) {
        target.withdraw(); // recursive call
        return this.onERC721Received.selector;
    }
}
Typical Bugs Discovered in Projects 1. **Assumption about event order in a block.** If a contract uses `block.number` to calculate rewards, and two calls in the same block — `block.number` is the same for both. Need `block.timestamp` or a counter. 2. **Mocks instead of real tokens.** A mock token always returns `true` on `transfer()`. USDT on Ethereum does not return a value (does not comply with ERC-20). A mock test passes, deployment with USDT fails. 3. **Ignoring gas limit.** An integration test must measure gas consumption. If an aggregator calls 10 Curve pools in one transaction, it may hit the block gas limit (30 million gas). 4. **No tests for edge case tokens.** Fee-on-transfer (PAXG), rebase (stETH), pausable (USDC), blacklist — each category requires a separate test suite. Skimping on such tests leads to loss of funds.

What's Included and Timelines

  • Analysis of contracts and identification of critical paths.
  • Writing integration test suite with Foundry or Hardhat.
  • Execution on mainnet fork with fixed block number.
  • Documentation of found issues with recommendations.
  • Re-run after fixes (quality assurance).
  • Training of client's team on running and maintaining tests.

Timelines: integration testing of an existing protocol takes 2 to 5 working days depending on complexity. If tests are written in parallel with contracts — we allocate 30–40% of development time. Cost is calculated individually. Our team has 10+ years of blockchain development experience and has performed integration testing for 50+ DeFi protocols. With 5+ years focused on Ethereum security and 30+ successful audits, we bring deep expertise in oracle manipulation and chain reorg handling.

Get a consultation — we'll evaluate your project and suggest an optimal testing plan. Contact us to avoid costly mistakes in production. We guarantee the quality of every test.