0xc36442b4a4522e871399cd717abdd847ab11fe88

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

0x8c2669…dc4ec3

12escalate

4 shared labels

ethereumLow

0x111111…4faa26

72proceed

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumLow

0xd55123…2192ff

74review

3 shared labelsfingerprint match

ethereumLow

0x446b2a…c02cd0

75review

3 shared labelsfingerprint match

ethereumLow

0xc88f76…10e7b1

83review

3 shared labelsfingerprint match

ethereumHigh

0x998a7f…b27137

30escalate

3 shared labels

ethereumHigh

0xae2fab…85ba65

27escalate

3 shared labels

EthereumHigh

0xae2fab…85ba65

25escalate

3 shared labels

EthereumHigh

0x6be0ae…a0b46e

12escalate

3 shared labels

EthereumMedium

0x837f6b…b2e90c

45review

3 shared labels

ethereumLow

0xef1c6e…54bf6b

78proceed

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.