Jun 18, 2024

What are the most common vulnerabilities found in Smart Contracts?

Sub7 Security

Sales Representative

Jun 18, 2024

What are the most common vulnerabilities found in Smart Contracts?

Sub7 Security

Sales Representative

Jun 18, 2024

What are the most common vulnerabilities found in Smart Contracts?

Sub7 Security

Sales Representative

Depending on the ecosystem, technology and language in which Smart Contracts are written, the risks and vulnerabilities present in the code vary dramatically.

The most common issues are still logical errors, and at the same time they are the most difficult to detect. Disruption of business logic in a certain edge-case scenario has repeatedly led to the possibility of compromising the entire protocol or contract or preventing its normal and proper operation.


The next type are issues related to incorrect mathematical operations, type casting and rounding. Due to the use of very different types of data, with different sizes and structures, as well as the use of integers and floating-point numbers, the programmer has a lot of room for mistakes.


Very often there are also vulnerabilities related to misunderstanding of some concepts related to DeFi elements, such as decimals, vesting, or the differences between stable and concentrated pools. This inevitably leads to incorrect assumptions being transferred to the code by the programmer, consequently exposing contracts to incorrect operation and issues.



Depending on the ecosystem, technology and language in which Smart Contracts are written, the risks and vulnerabilities present in the code vary dramatically.

The most common issues are still logical errors, and at the same time they are the most difficult to detect. Disruption of business logic in a certain edge-case scenario has repeatedly led to the possibility of compromising the entire protocol or contract or preventing its normal and proper operation.


The next type are issues related to incorrect mathematical operations, type casting and rounding. Due to the use of very different types of data, with different sizes and structures, as well as the use of integers and floating-point numbers, the programmer has a lot of room for mistakes.


Very often there are also vulnerabilities related to misunderstanding of some concepts related to DeFi elements, such as decimals, vesting, or the differences between stable and concentrated pools. This inevitably leads to incorrect assumptions being transferred to the code by the programmer, consequently exposing contracts to incorrect operation and issues.



Depending on the ecosystem, technology and language in which Smart Contracts are written, the risks and vulnerabilities present in the code vary dramatically.

The most common issues are still logical errors, and at the same time they are the most difficult to detect. Disruption of business logic in a certain edge-case scenario has repeatedly led to the possibility of compromising the entire protocol or contract or preventing its normal and proper operation.


The next type are issues related to incorrect mathematical operations, type casting and rounding. Due to the use of very different types of data, with different sizes and structures, as well as the use of integers and floating-point numbers, the programmer has a lot of room for mistakes.


Very often there are also vulnerabilities related to misunderstanding of some concepts related to DeFi elements, such as decimals, vesting, or the differences between stable and concentrated pools. This inevitably leads to incorrect assumptions being transferred to the code by the programmer, consequently exposing contracts to incorrect operation and issues.