0x4a14347083b80e5216ca31350a2d21702ac3650d

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

0x5a5444…3891ca

40review

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labels

ethereumLow

0xe81d6f…af92c7

80review

3 shared labels

ethereumLow

0xfd6c2d…fab54f

81review

3 shared labels

ethereumLow

0x2faf48…776ad2

76review

3 shared labels

ethereumLow

0xe81d6f…af92c7

80review

3 shared labels

ethereumHigh

0xe278b5…750d6a

12escalate

3 shared labels

ethereumLow

0xc36442…11fe88

86proceed

3 shared labels

ethereumHigh

0x6a1544…0e41ed

0escalate

3 shared labels

ethereumHigh

0xe278b5…750d6a

12escalate

3 shared labels

EthereumHigh

0x9edde7…f60121

0escalate

3 shared labels

ethereumMedium

0x217b57…5310dc

64review

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.