Safe Airdrop Farmers by @0xNetrunner

[0xnetrunner]

Related Safe Addresses

We believe the following list of Safe addresses fall within the 'airdrop farming' category that would receive a SAFE user allocation. airdrop_farmers.csv

Reasoning

In this report we analyze the addresses of Safe users to identify potential airdrop farmers.

Building on 0xKARTOD's ranking system, we used the Red Score Data to create a filter selecting addresses created after GIP-29 and had 2 or less transactions within a given period. We believe this has the highest probability of identifying airdrop farmers, without penalising legitimate users and testers.

Methodology

Addresses selected from the: Safe provided file: safe_user_allocations_reworked.csv. 0xKARTOD analytics (Red Score Data), is used to populate a data table. Using the parameters below, a filter was used to identify airdrop farmers, whilst erring on the side of caution, so as not to penalise legitimate users (relayers, scripts, power users, exchanges) and testers.

Filter:

• 2 or less transactions within a given period.
• Created after GIP-29

Safe Address

If this report is used to filter airdrop farmers, then I would like to split the SAFE proceeds 50/50 with @0xKARTOD: 0xnetrunner Safe: 0x8b548302239366cb73475fFaEde9687cC2D31371 0xKARTOD Safe:0x1B491d59846cb605A24a4690Df631946E52a2D0e

[tschubotz]

Thank a lot for the report. Checking the list of Safes there seem to be quite some that rather look like legitimate usage. Just to name 3:

https://gnosis-safe.io/app/eth:0x14ab82062dc2622c4f1467042652fb7110b92d53/transactions/history https://gnosis-safe.io/app/eth:0x5bffbb1278db2f5a5d53aefdd9656c574b599f5e/transactions/history https://gnosis-safe.io/app/eth:0x02308b53273ab3494d482d5fb3d1f0710acb0890/transactions/history

Since you reasoning is just based on the Dune query, I'm unable to see how you can be sure this would not eliminate legitimate use.