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Bug Bounty rewards are grouped by severity and the impact of the vulnerability. Examples and descriptions of the type of vulnerabilities that correspond to each severity level can be found below. The payout amount has a 5 tier structure with separate scalesfor website/apps and smart contracts.

Description of vulnerability and your proof of concept or validation steps

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Short description of the vulnerability and the affected asset.

The core team is situated in country(ies) that received low aggregated ratings in terms of international judicial cooperation, criminal justice system, anti-money laundering, and corruption. This contextual data suggests an increased difficulty and complexity in preventing and mitigating fraud.

The core team is situated in country(ies) that received medium aggregated ratings in terms of international judicial cooperation, criminal justice system, anti-money laundering, and corruption. This contextual data suggests a medium level of geographic accountability, thus reducing and mitigating the risk of fraud.

The core team is situated in country(ies) that received the best aggregated ratings in terms of international judicial cooperation, criminal justice system, anti-money laundering, and corruption. This contextual data suggests the highest level of geographic accountability, thus maximizing the risk reduction and mitigation.

Vulnerability Title

Initial Token Distribution

Centralization Risks in NFAi.sol

Spenders With Infinite Allowance Handled Incorrectly

Potential Loss of Precision

Third Party Dependency

Miscalculation of Max Holding

Unused Return Value

Pull-Over-Push Pattern In `transferOwnership()` Function 

ERC20 Approval Race Condition

Potential Sandwich Attacks

Variables That Could Be Declared as Immutable

Usage of `tx.origin`

Unused Event

Incorrect Error Message

Useless Variable `sellingEnabled`

Missing Emit Events

NFAi

NFAi.sol

Top 10% Governance Score

NFAi is a decentralized Hedge Fund experiment that aims to use the power of neural net technology to make leverage trading decisions on decentralized leverage trading platforms. Profits from this experiement will be used to fund further development and reward holders via buybacks, burns, and an upcoming staking module.

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