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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

Name

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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

This report has been prepared for Dimitra to discover issues and vulnerabilities in the source code of the DMTR Token project as well as any contract dependencies that were not part of an officially recognized library. A comprehensive examination has been performed, utilizing Static Analysis and Manual Review techniques.

Unlocked Compiler Version

User-Defined Getters

Incorrect implementation of `approve` function

Same release time can be added multiple times

Inefficient function implementation

Ineffectual restriction of `view` function

Explicitly returning local variable

DMTR Token

Top 10% Security Score

Top 10% Code Security Score

Top 10% Governance Score

Top 10% Market Score

Top 10% Operation Score

Top 10% Fundamental Score

Data driven farming. Increase yield. Reduce cost. Mitigate risk.

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