Gene ALPHA Info

A genetic algorithm is a computational search technique for finding approximate solutions to optimize models and search problems. A genetic algorithm is a special type of evolutionary algorithm that uses evolutionary biology techniques such as heredity, mutation biology, and Darwin’s principles of choice to find the optimal formula for predicting or matching the pattern.

Gene ALPHA Logo

TrustNet Score

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80.00
Poor Excellent

Real-Time Threat Detection

Real-time threat detection, powered by Cyvers.io, is currently not activated for this project.

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Security Assessments

"Static Analysis Dynamic Analysis Symbolic Execution SWC Check Manual Review"
Contract address
0x5E6D...F1Ae
Network
Ethereum - Mainnet
License N/A
Compiler N/A
Type N/A
Language Solidity
Onboard date 2025/07/11
Revision date 2025/07/11

Summary and Final Words

No crucial issues found

The contract does not contain issues of high or medium criticality. This means that no known vulnerabilities were found in the source code.

Contract owner cannot mint

It is not possible to mint new tokens.

Contract owner cannot blacklist addresses.

It is not possible to lock user funds by blacklisting addresses.

Contract owner cannot set high fees

The fees, if applicable, can be a maximum of 25% or lower. The contract can therefore not be locked. Please take a look in the comment section for more details.

Contract cannot be locked

Owner cannot lock any user funds.

Token cannot be burned

There is no burning within the contract without any allowances

Ownership is not renounced

The owner retains significant control, which could potentially be used to modify key contract parameters.

Contract is not upgradeable

The contract does not use proxy patterns or other mechanisms to allow future upgrades. Its behavior is locked in its current state.

Scope of Work

This audit encompasses the evaluation of the files listed below, each verified with a SHA-1 Hash. The team referenced above has provided the necessary files for assessment.

The auditing process consists of the following systematic steps:

  1. Specification Review: Analyze the provided specifications, source code, and instructions to fully understand the smart contract's size, scope, and functionality.
  2. Manual Code Examination: Conduct a thorough line-by-line review of the source code to identify potential vulnerabilities and areas for improvement.
  3. Specification Alignment: Ensure that the code accurately implements the provided specifications and intended functionalities.
  4. Test Coverage Assessment: Evaluate the extent and effectiveness of test cases in covering the codebase, identifying any gaps in testing.
  5. Symbolic Execution: Analyze the smart contract to determine how various inputs affect execution paths, identifying potential edge cases and vulnerabilities.
  6. Best Practices Evaluation: Assess the smart contracts against established industry and academic best practices to enhance efficiency, maintainability, and security.
  7. Actionable Recommendations: Provide detailed, specific, and actionable steps to secure and optimize the smart contracts.

A file with a different Hash has been intentionally or otherwise modified after the security review. A different Hash may indicate a changed condition or potential vulnerability that was not within the scope of this review.

Final Words

The following provides a concise summary of the audit report, accompanied by insightful comments from the auditor. This overview captures the key findings and observations, offering valuable context and clarity.


Ownership Privileges
  • The owner can withdraw stuck tokens and ETH from the contract.
  • The owner can withdraw the collected fees.
  • The owner can exempt wallets from fees.
  • The owner can exclude wallets from limits.
  • The owner can update the feeReceiver address.
  • The owner can toggle the swap setting.
  • The owner can reduce the trading fees.
  • The owner can set the wallet limit not less than 70k tokens.
  • The owner can set the max swap threshold value to any arbitrary value.

Note - This Audit report consists of a security analysis of the Gene ALPHA smart contract. This analysis did not include functional testing (or unit testing) of the contract’s logic. Moreover, we only audited one token contract for the Gene ALPHA team. Other contracts associated with the project were not audited by our team. We recommend investors do their own research before investing.

Files and details

Functions
public

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State variables
public

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Total lines
of code

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Capabilities
Hover on items

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Findings and Audit result

medium Issues | 2 findings

Resolved

#1 medium Issue
Excessive Initial Trade Fee and Lack of Upper Bound
PlaceholderToken.sol
L75
Description

The PlaceholderToken.sol smart contract is initialized with a totalTradeFee of 90, representing an unusually high 90% fee on token trades, which could be a significant deterrent for users. The contract also contains a lowerTradeFees function that, in its original form, did not enforce any maximum limit, allowing the owner to set a new fee that, while lower than the previous one, could still be excessively high.

Resolved

#2 medium Issue
Missing 'require' check. (Potential honeypot)
PlaceholderToken.sol
L155-171
Description

The owner can set any arbitrary amount to the feeReceiverAlpha, feeReceiverBeta, excluding zero address as this can lead to a potential honeypot if the owner has set the address to a contract address that cannot receive ETH. It is recommended that the address cannot be set to a contract address that cannot receive ETH to avoid these circumstances.

low Issues | 1 findings

Resolved

#1 low Issue
Unvalidated Swap Threshold in setMaxSwapThreshold
PlaceholderToken.sol
L285-288
Description

The setMaxSwapThreshold function in the PlaceholderToken.sol contract lacks essential input validation, creating a potential vulnerability. This function allows the contract owner to set the maxTokensToSwap value, which determines the token balance required to trigger a swap and distribution of collected fees. Without validation, the owner could inadvertently or maliciously set this threshold to zero, which would prevent the automated fee-swapping mechanism from functioning correctly, or to an excessively large value, which could indefinitely delay the fee distribution process.