The Standard

The Standard
DeFiHardhat
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Submission Details
Severity: low
Valid

Precision loss when calculating ```LiquidationPool::distributeAssets```

Summary

The calculation of _portion and costInEuros in the LiquidationPool.distributeAssets suffers from a rounding down issue, resulting in a precision loss that can be improved. This can lead to a wrong portion of distributed assets to the holders.

Vulnerability Details

Division before multiplication can lead to rounding down issue since Solidity has no fixed-point numbers. Consider the calculation of the:

  • _portion in the LiquidationPool.distributeAssets, the function does the division (by uint256(priceEurUsd) before the multiplication (_hundredPC). Hence, the computed result can suffer from the rounding down issue, resulting in a small precision loss.
    https://github.com/Cyfrin/2023-12-the-standard/blob/91132936cb09ef9bf82f38ab1106346e2ad60f91/contracts/LiquidationPool.sol#L220C11-L220C11

  • costInEuros in the LiquidationPool.distributeAssets, the function does the division (by stakeTotal) before the multiplication (_position.EUROs ). Hence, the computed result can suffer from the rounding down issue, resulting in a small precision loss.
    https://github.com/Cyfrin/2023-12-the-standard/blob/91132936cb09ef9bf82f38ab1106346e2ad60f91/contracts/LiquidationPool.sol#L219
    https://github.com/Cyfrin/2023-12-the-standard/blob/91132936cb09ef9bf82f38ab1106346e2ad60f91/contracts/LiquidationPool.sol#L223

function distributeAssets(ILiquidationPoolManager.Asset[] memory _assets, uint256 _collateralRate, uint256 _hundredPC) external payable {
consolidatePendingStakes();
(,int256 priceEurUsd,,,) = Chainlink.AggregatorV3Interface(eurUsd).latestRoundData();
uint256 stakeTotal = getStakeTotal();
uint256 burnEuros;
uint256 nativePurchased;
for (uint256 j = 0; j < holders.length; j++) {
Position memory _position = positions[holders[j]];
uint256 _positionStake = stake(_position);
if (_positionStake > 0) {
for (uint256 i = 0; i < _assets.length; i++) {
ILiquidationPoolManager.Asset memory asset = _assets[i];
if (asset.amount > 0) {
(,int256 assetPriceUsd,,,) = Chainlink.AggregatorV3Interface(asset.token.clAddr).latestRoundData();
@> uint256 _portion = asset.amount * _positionStake / stakeTotal;
@> uint256 costInEuros = _portion * 10 ** (18 - asset.token.dec) * uint256(assetPriceUsd) / uint256(priceEurUsd)
* _hundredPC / _collateralRate;
if (costInEuros > _position.EUROs) {
@> _portion = _portion * _position.EUROs / costInEuros;
costInEuros = _position.EUROs;
}
_position.EUROs -= costInEuros;
rewards[abi.encodePacked(_position.holder, asset.token.symbol)] += _portion;
burnEuros += costInEuros;
if (asset.token.addr == address(0)) {
nativePurchased += _portion;
} else {
IERC20(asset.token.addr).safeTransferFrom(manager, address(this), _portion);
}
}
}
}
positions[holders[j]] = _position;
}
if (burnEuros > 0) IEUROs(EUROs).burn(address(this), burnEuros);
returnUnpurchasedNative(_assets, nativePurchased);
}

Impact

The outcome derived from the LiquidationPool.distributeAssets computation may be susceptible to rounding down issues. This issue carries a medium impact, given that two instances of precision loss occur within the same function. Additionally, the denominators are variable rather than constant, compromising the accuracy of the calculated asset. Nonetheless, there is a potential avenue for enhancing the calculation to mitigate precision loss, as outlined in the Recommendations section.

Tools Used

Slither - static analysis framework.

Recommendations

function distributeAssets(ILiquidationPoolManager.Asset[] memory _assets, uint256 _collateralRate, uint256 _hundredPC) external payable {
...
ILiquidationPoolManager.Asset memory asset = _assets[i];
if (asset.amount > 0) {
(,int256 assetPriceUsd,,,) = Chainlink.AggregatorV3Interface(asset.token.clAddr).latestRoundData();
uint256 _portion = asset.amount * _positionStake / stakeTotal;
- uint256 costInEuros = _portion * 10 ** (18 - asset.token.dec) * uint256(assetPriceUsd) / uint256(priceEurUsd)
* _hundredPC / _collateralRate;
+ uint256 costInEuros = _portion * 10 ** (18 - asset.token.dec) * uint256(assetPriceUsd) * _hundredPC
/ (uint256(priceEurUsd) * _collateralRate);
if (costInEuros > _position.EUROs) {
- _portion = _portion * _position.EUROs / costInEuros;
+ _portion = (asset.amount * _positionStake * _position.EUROs) / stakeTotal / costInEuros;
costInEuros = _position.EUROs;
}
_position.EUROs -= costInEuros;
rewards[abi.encodePacked(_position.holder, asset.token.symbol)] += _portion;
burnEuros += costInEuros;
if (asset.token.addr == address(0)) {
nativePurchased += _portion;
} else {
IERC20(asset.token.addr).safeTransferFrom(manager, address(this), _portion);
}
}
}
}
positions[holders[j]] = _position;
}
if (burnEuros > 0) IEUROs(EUROs).burn(address(this), burnEuros);
returnUnpurchasedNative(_assets, nativePurchased);
}
}
Updates

Lead Judging Commences

hrishibhat Lead Judge over 1 year ago
Submission Judgement Published
Validated
Assigned finding tags:

precision

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