0x6871eacd33fbcfe585009ab64f0795d7152dc5a0

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

0xe05f52…b54a2a

12escalate

4 shared labels

ethereumHigh

0x19aa5f…0b4dff

12escalate

4 shared labels

ethereumHigh

0xe05f52…b54a2a

12escalate

4 shared labels

EthereumHigh

0x858942…1fda16

0escalate

4 shared labels

EthereumHigh

0x858942…1fda16

0escalate

4 shared labels

ethereumLow

0xe59cd2…64595a

75review

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumLow

0x9ba7f2…28bcf6

83review

3 shared labelsfingerprint match

ethereumLow

0x8a651e…80fed6

90review

3 shared labelsfingerprint match

ethereumLow

0x71191c…929a5b

76review

3 shared labelsfingerprint match

ethereumLow

0xe59cd2…64595a

75review

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 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.