0x9ba7f2820e9a88e5fd3b8863c56fcfe2db28bcf6

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

0xcad621…fc8fdd

78review

3 shared labelsfingerprint match

ethereumLow

0xe81d6f…af92c7

80review

3 shared labelsfingerprint match

ethereumLow

0xc1056a…f9ed78

81review

3 shared labelsfingerprint match

ethereumLow

0x876eab…950cfa

75review

3 shared labelsfingerprint match

ethereumLow

0x7db436…a795b1

95proceed

3 shared labelsfingerprint match

ethereumHigh

0x37a1c1…850114

12escalate

3 shared labels

ethereumHigh

0xe278b5…750d6a

12escalate

3 shared labels

ethereumHigh

0x54ace9…f696ec

12escalate

3 shared labels

ethereumHigh

0x78da54…da9192

12escalate

3 shared labels

ethereumHigh

0x9570e0…abfb2c

12escalate

3 shared labels

ethereumHigh

0x6a1544…0e41ed

0escalate

3 shared labels

ethereumHigh

0x9be599…a15573

12escalate

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.