0x837f6bf7c30607cdfb81c02f102ce0ea9eb2e90c

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

0xa0d52f…9a250e

54review

3 shared labelsfingerprint match

EthereumLow

0xbd67c3…37b9a1

71review

3 shared labels

ethereumLow

0x446b2a…c02cd0

75review

3 shared labels

ethereumLow

0x1a57e6…41fdcc

82review

3 shared labels

ethereumLow

0x21a31e…285549

72proceed

3 shared labels

ethereumLow

0xdfd529…43963d

73proceed

3 shared labels

ethereumHigh

0x8c2669…dc4ec3

12escalate

3 shared labels

EthereumMedium

0x5b94fd…b1408c

58review

2 shared labelsfingerprint match

EthereumMedium

0xea9fcc…6010c7

55review

2 shared labelsfingerprint match

ethereumMedium

0x00cdc1…f28ba3

62review

2 shared labelsfingerprint match

ethereumMedium

0xa299bc…632594

62review

2 shared labelsfingerprint match

ethereumMedium

0xea710f…22adfa

49review

2 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.