0x6fbedb190d42a8bafc9b8176eb3cf95df748ae16

Every wallet CredScore has a public verdict on, ranked by shared characteristics with this one. Strong signal comes from shared sanctioned counterparties (co-investigation candidates), medium from overlapping entity labels (shared tooling), weak from behavioral fingerprint match.

Medium signal — overlapping entity labels 30

These wallets use overlapping sets of protocols and tools. Weaker than co-sanction but useful for tooling-cluster analysis.

ethereumMedium

0x00cdc1…f28ba3

62review

3 shared labelsfingerprint match

ethereumLow

0xe59cd2…64595a

75review

3 shared labels

ethereumHigh

0x1b670f…fedd6f

0escalate

3 shared labels

ethereumHigh

0x55dee9…1635aa

12escalate

3 shared labels

ethereumMedium

0x1aafe5…d26bc0

62review

2 shared labelsfingerprint match

EthereumLow

0x96d047…62aeff

91review

2 shared labels

EthereumLow

0x8a651e…80fed6

99review

2 shared labels

EthereumHigh

0xd04e9f…591796

13escalate

2 shared labels

EthereumHigh

0x4a5965…a4dcd3

12escalate

2 shared labels

EthereumHigh

0xec8580…ead6a1

12escalate

2 shared labels

EthereumHigh

0xdbaef7…e3b973

12escalate

2 shared labels

ethereumLow

0x876eab…950cfa

75review

2 shared labels

Coverage. This related-wallets search runs over the public shared_analyses corpus (verdicts anyone in the CredScore user base has published). Chainalysis-style chain-wide clustering would run over every wallet on the chain, not just verdicts — that scale requires infrastructure investment documented on the engine roadmap. Every hit here is a real verdict.