0xa9615dfa74c79b38ee144169b5e87dfba43ed066

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

ethereumMedium

0x2eee95…16716f

65review

3 shared labelsfingerprint match

ethereumLow

0x446b2a…c02cd0

75review

3 shared labels

ethereumLow

0xc88f76…10e7b1

83review

3 shared labels

ethereumLow

0xe59cd2…64595a

75review

3 shared labels

ethereumLow

0x48c04e…38a7ff

69review

3 shared labels

ethereumLow

0x292f04…a478c8

79review

3 shared labels

ethereumLow

0xa205fd…b3e825

78review

3 shared labels

ethereumLow

0x6871ea…2dc5a0

80review

3 shared labels

ethereumLow

0x876eab…950cfa

75review

3 shared labels

ethereumLow

0x8a651e…80fed6

90review

3 shared labels

ethereumLow

0x71191c…929a5b

76review

3 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.