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

5 shared labelsfingerprint match

ethereumMedium

0x00cdc1…f28ba3

62review

5 shared labels

ethereumHigh

0xbf9cd2…e44629

37escalate

5 shared labels

ethereumLow

0xc88f76…10e7b1

83review

4 shared labelsfingerprint match

ethereumLow

0xe59cd2…64595a

75review

4 shared labelsfingerprint match

ethereumLow

0xa205fd…b3e825

78review

4 shared labelsfingerprint match

ethereumLow

0x8a651e…80fed6

90review

4 shared labelsfingerprint match

EthereumLow

0xbd67c3…37b9a1

71review

4 shared labelsfingerprint match

ethereumHigh

0x55dee9…1635aa

12escalate

4 shared labels

ethereumHigh

0xdbaef7…e3b973

12escalate

4 shared labels

ethereumHigh

0xec8580…ead6a1

12escalate

4 shared labels

ethereumHigh

0xd8500c…25e10e

12escalate

4 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.