0x48c04ed5691981c42154c6167398f95e8f38a7ff

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.

ethereumLow

0x446b2a…c02cd0

75review

6 shared labelsfingerprint match

EthereumLow

0x96d047…62aeff

91review

5 shared labelsfingerprint match

EthereumMedium

0x1aafe5…d26bc0

67review

5 shared labels

EthereumMedium

0x00cdc1…f28ba3

67review

5 shared labels

EthereumHigh

0xbf9cd2…e44629

39escalate

5 shared labels

ethereumMedium

0x00cdc1…f28ba3

62review

5 shared labels

ethereumHigh

0x19aa5f…0b4dff

12escalate

5 shared labels

ethereumHigh

0xbf9cd2…e44629

37escalate

5 shared labels

ethereumHigh

0x809ed0…af8834

12escalate

5 shared labels

EthereumLow

0x8a651e…80fed6

99review

4 shared labelsfingerprint match

EthereumLow

0xbd67c3…37b9a1

71review

4 shared labelsfingerprint match

EthereumLow

0xf88d68…50a69b

94proceed

4 shared labelsfingerprint match

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.