0x1111111254fb6c44bac0bed2854e76f90643097d

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

0x267be1…4ffdc0

87proceed

3 shared labelsfingerprint match

EthereumLow

0xd8da6b…a96045

96proceed

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumLow

0xd55123…2192ff

74review

3 shared labelsfingerprint match

ethereumLow

0x564286…3aaced

75review

3 shared labelsfingerprint match

ethereumHigh

0xe278b5…750d6a

12escalate

3 shared labels

ethereumMedium

0x1b1877…c6f477

46review

3 shared labels

ethereumHigh

0x624550…6b4305

12escalate

3 shared labels

ethereumHigh

0x8c2669…dc4ec3

12escalate

3 shared labels

ethereumHigh

0x998a7f…b27137

30escalate

3 shared labels

ethereumHigh

0xed6e0a…bad921

0escalate

3 shared labels

ethereumLow

0xc36442…11fe88

85proceed

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.