Closed sherlock-admin closed 11 months ago
4 comment(s) were left on this issue during the judging contest.
panprog commented:
invalid because this is generic advice not applicable to that code
n33k commented:
invalid, ai generated groundless report
darkart commented:
The same as 14 you should read solidity docs if you wanna do bug hunting safemath is included from ^0.8.0
polarzero commented:
Invalid. The contract uses Solidity ^0.8.13, which has built-in integer overflow/underflow checks.
0xVinylDavyl
medium
With uint256 and int256 data types, Integer overflow and underflow occur when the result of an arithmetic operation exceeds the maximum or minimum representable value for a given data type.
Summary
The code contains arithmetic operations involving
uint256
andint256
data types, which may lead to integer overflow or underflow vulnerabilities if not carefully handled.Vulnerability Detail
Integer overflow and underflow occur when the result of an arithmetic operation exceeds the maximum or minimum representable value for a given data type. In Solidity, these vulnerabilities can have severe consequences, including loss of funds or contract failure.
Impact
If integer overflow or underflow occurs, it can lead to incorrect contract behavior, unexpected state changes, or even financial losses for users interacting with the contract. In extreme cases, it can potentially lead to vulnerabilities that malicious actors could exploit.
Code Snippet
https://github.com/sherlock-audit/2023-09-perennial/blob/main/perennial-v2/packages/perennial/contracts/types/Position.sol#L98
Tool used
Manual Review
Recommendation
To prevent integer overflow and underflow vulnerabilities, follow these recommendations:
Use SafeMath Library
Replace standard arithmetic operations with SafeMath library functions, such as
SafeMath.add
,SafeMath.sub
,SafeMath.mul
, andSafeMath.div
. This library performs checks to ensure that no overflow or underflow occurs during calculations.Check for Valid Input
Implement input validation to ensure that input values do not result in arithmetic operations that could lead to overflow or underflow. For example, when dealing with user-supplied values, validate that they are within acceptable ranges.
Use Data Types with Larger Ranges
Consider using data types with larger ranges, such as
uint256
, to reduce the likelihood of overflow or underflow. Choose data types that match the expected range of values for specific variables.By following these recommendations and using SafeMath or similar libraries, you can significantly reduce the risk of integer overflow and underflow vulnerabilities in your Solidity smart contracts.