0xe6c9adf066484ee303deacdd0493bc8da1371c8b

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

0x1aafe5…d26bc0

62review

4 shared labelsfingerprint match

ethereumMedium

0xf89d69…5eaa40

60review

3 shared labelsfingerprint match

ethereumLow

0x8a651e…80fed6

90review

3 shared labels

ethereumLow

0xbb7218…f0290c

69review

3 shared labels

ethereumLow

0x96d047…62aeff

82review

3 shared labels

ethereumHigh

0x797d7a…df102b

3escalate

3 shared labels

ethereumHigh

0xd8500c…25e10e

12escalate

3 shared labels

ethereumHigh

0x57ec89…761259

12escalate

3 shared labels

ethereumHigh

0x8dce2a…8e4995

12escalate

3 shared labels

ethereumHigh

0x19aa5f…0b4dff

12escalate

3 shared labels

ethereumHigh

0x761edd…4a3510

12escalate

3 shared labels

ethereumHigh

0x12ea80…6f4e8d

7escalate

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.