0x95a9bd206ae52c4ba8eecfc93d18eacdd41c88cc

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

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumHigh

0x30481d…68c0d7

21escalate

3 shared labels

ethereumHigh

0x88272f…0521e0

16escalate

3 shared labels

ethereumHigh

0x998a7f…b27137

30escalate

3 shared labels

ethereumLow

0xc88f76…10e7b1

83review

2 shared labelsfingerprint match

ethereumLow

0x0681d8…0edbbf

69review

2 shared labelsfingerprint match

ethereumLow

0xcad621…fc8fdd

78review

2 shared labelsfingerprint match

ethereumLow

0x1a57e6…41fdcc

82review

2 shared labelsfingerprint match

ethereumLow

0x292f04…a478c8

79review

2 shared labelsfingerprint match

ethereumLow

0x3af478…51b84e

79review

2 shared labelsfingerprint match

ethereumLow

0xfd6c2d…fab54f

81review

2 shared labelsfingerprint match

ethereumLow

0xd55123…2192ff

74review

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.