We have conducted a comprehensive examination of the fee payment process within the Dash CoinJoin implementation. We have discovered that the fee payment process leaks privacy information. This privacy leakage leads to the potential linking of addresses that the CoinJoin transaction design attempts to maintain private. We demonstrate that the transactions involved in the mixing process are identifiable and provide classification rules to build a transaction data set with appropriate classifications. Using this dataset, we highlight how the fee payment mechanism reveals sensitive information about users’ mixing activities. We achieve this by linking the fee-payment transactions and analyzing their timestamps. Finally, our analysis reveals a significant occurrence of address reuse within the fee payment process and we provide a summary of the statistics obtained.