0xc8103e6180e59b09c501676a756c742b8ae086fc

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.

ethereumHigh

0x51c9a7…8ad849

31escalate

4 shared labelsfingerprint match

ethereumHigh

0x08a0a7…ca07b6

0escalate

4 shared labelsfingerprint match

ethereumHigh

0xc93113…535691

39escalate

4 shared labelsfingerprint match

ethereumMedium

0x698e50…f4da27

42review

4 shared labels

ethereumHigh

0x32da24…f81e3e

12escalate

3 shared labelsfingerprint match

ethereumHigh

0xef85a6…29ce2a

12escalate

3 shared labelsfingerprint match

ethereumHigh

0x8c2669…dc4ec3

12escalate

3 shared labelsfingerprint match

ethereumHigh

0xae2fab…85ba65

27escalate

3 shared labelsfingerprint match

ethereumLow

0x97a5a0…0905af

89review

3 shared labels

ethereumLow

0x111111…4faa26

72proceed

3 shared labels

ethereumLow

0xd55123…2192ff

74review

3 shared labels

EthereumMedium

0x5b94fd…b1408c

58review

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.