The FundFlowController.sol contract contains a sorting function _sortIndexesDescending implemented with nested loops, leading to high gas consumption for large input arrays. This inefficiency can result in failed transactions, causing a Denial of Service (DoS) on critical contract functionalities such as deposits and withdrawals.
Explanation:
The _sortIndexesDescending function employs a Bubble Sort algorithm to sort an array of values in descending order. This method uses nested loops, resulting in a quadratic time complexity of O(n²). As the size of the input array _values increases, the gas consumption grows exponentially, making the function highly inefficient for large datasets.
Explanation:
The _sortIndexesDescending function is called within the _getVaultDepositOrder method, which is a critical function responsible for determining the order of vault deposits based on available deposit capacity. When the number of vaults increases, the size of the depositRoom array passed to the sorting function also increases, leading to significant gas consumption due to the nested loop structure.
Explanation:
In this example, an array of size 1,000 is initialized and passed to the _sortIndexesDescending function. Due to the O(n²) complexity of the Bubble Sort algorithm, this operation consumes a substantial amount of gas. Increasing the arraySize further exacerbates the gas consumption, potentially leading to transaction failures when the gas limit is exceeded.
The inefficient sorting algorithm can severely impact the contract's functionality by making essential operations like deposits and withdrawals unfeasible for large input sizes. Attackers could exploit this vulnerability to intentionally cause transactions to fail, resulting in a Denial of Service (DoS) that affects all users relying on these critical functions. This not only disrupts user experience but also undermines the platform's reliability and trustworthiness.
Manual Code Review
Foundry
Action:
Replace the Bubble Sort algorithm with a more gas-efficient sorting algorithm, such as Heap Sort or Insertion Sort, which offer better time complexities (e.g., O(n log n)).
Code Fix Example:
Action:
Introduce a maximum limit on the size of arrays that can be processed by the sorting function to prevent excessive gas consumption.
Code Fix Example:
Action:
Perform sorting operations off-chain and submit the sorted indices to the contract. The contract should include mechanisms to verify the correctness of the sorted data to prevent manipulation.
Code Fix Example:
Action:
Instead of sorting large arrays in a single transaction, process them in smaller batches across multiple transactions to stay within gas limits.
Code Fix Example:
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