0xf88d683b0126891eb1f8366fc42d70145550a69b

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

0x446b2a…c02cd0

75review

3 shared labelsfingerprint match

ethereumLow

0xc88f76…10e7b1

83review

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumLow

0x48c04e…38a7ff

69review

3 shared labelsfingerprint match

EthereumLow

0xbd67c3…37b9a1

71review

3 shared labelsfingerprint match

ethereumLow

0xc36442…11fe88

85proceed

3 shared labelsfingerprint match

ethereumMedium

0x00cdc1…f28ba3

62review

3 shared labels

ethereumMedium

0xea710f…22adfa

49review

3 shared labels

ethereumMedium

0xa0d52f…9a250e

54review

3 shared labels

ethereumHigh

0xbf9cd2…e44629

37escalate

3 shared labels

ethereumHigh

0x8c2669…dc4ec3

12escalate

3 shared labels

ethereumHigh

0x32da24…f81e3e

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.