Lucene search

K
code423n4Code4renaCODE423N4:2023-12-REVOLUTIONPROTOCOL-FINDINGS-ISSUES-701
HistoryDec 21, 2023 - 12:00 a.m.

Incorrect Termination Condition

2023-12-2100:00:00
Code4rena
github.com
3
vulnerability
incorrect termination
maxheapify
optimization
binary heap
leaf node
max heap property
child comparison
algorithm

7.2 High

AI Score

Confidence

Low

Lines of code

Vulnerability details

The provided termination condition if (pos >= (size / 2) && pos <= size) is incorrect.
This condition is not suitable for terminating the maxHeapify function.
It should instead be based on comparing values in the heap to ensure the max heap property.

The condition if (pos >= (size / 2) && pos <= size) return; in the code is meant to optimize the maxHeapify function. However, it’s not the correct condition for controlling the termination of the function. This condition is attempting to check if pos is a leaf node in the heap and, if so, return early because leaf nodes in a heap are already considered to be max heaps by definition.

I am assuming that the idea behind this optimization is that in a binary heap, elements starting from size / 2 (where size is the number of elements in the heap) are leaf nodes, and leaf nodes can be considered as already satisfying the max heap property because they have no children.

However, the condition itself is not entirely correct. The termination condition for maxHeapify in a correct max-heapify algorithm should be based on the comparison of the values of the current node with its children. It should continue recursively calling maxHeapify as long as there are children that violate the max heap property (i.e., if the current node is smaller than either of its children).

So, in summary, you should replace the condition if (pos >= (size / 2) && pos <= size) with the standard termination condition that checks the values of the current node and its children to maintain the max heap property.

Assessed type

Error


The text was updated successfully, but these errors were encountered:

All reactions

7.2 High

AI Score

Confidence

Low