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0x2e97bab47dfb1fd1395be6d86fcd48c19374b79b
All interact with each other, some similar patterns in terms of usage time + what they are doing, all funded via FTX.
0x5bb96c35a68cba037d0f261c67477416db137f03 interacts with 4.
0xbbaaf7095e5f4e74b11534532c5d43a3c364bad4 interacts with 6.
0xa9d89a5caf6480496acc8f4096fe254f24329ef0 similar style to first 5 plus interacts with 6.
0x000000000a38444e0a6e37d3b630d7e855a7cb13 connected to 8. and also shown as part of disperse call
@defienjoyer We have observed cases of apps sending funds through Disperse to help their users pay for gas on L2s. We have also seen altruistic people and faucets do the same. Because of this, we will need additional evidence. Some potential compelling evidence may be:
Identical transactions on the exact same day/time by most or all of the addresses
A trace of the ERC20 token between addresses (as opposed to native tokens)
A similar time/date that all the addresses started transacting on a chain
Please note that there will need to be much more data provided for this submission. Per the rules, the data will also have to be easily verifiable. The additional data you provided does not show how the all the addresses are related to each other, which is another rule. The data in that comment is not extremely conclusive.
Please let us know if you can provide this data. Thank you for your work.
Reasoning
All addresses are related via one disperse transaction
Methodology
I created a script to link disperse address with eligible addresses document.
Rewards Address
0xCBd39631F4fb359cA966424B622aee0A5c1DaAa1
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