0xc9f5296eb3ac266c94568d790b6e91eba7d76a11

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

0x6871ea…2dc5a0

80review

4 shared labels

ethereumLow

0x29d552…a0274b

88review

3 shared labels

ethereumLow

0x9ba7f2…28bcf6

83review

3 shared labels

ethereumLow

0xe98a0d…fea8fe

76review

3 shared labels

EthereumLow

0x48c04e…38a7ff

76review

3 shared labels

EthereumLow

0x96d047…62aeff

91review

3 shared labels

ethereumLow

0xddfabc…2a0740

85proceed

3 shared labels

ethereumLow

0xfbb1b7…0fbb98

72proceed

3 shared labels

ethereumHigh

0x19aa5f…0b4dff

12escalate

3 shared labels

ethereumHigh

0x809ed0…af8834

12escalate

3 shared labels

EthereumLow

0xfd6c2d…fab54f

91proceed

3 shared labels

EthereumLow

0xf88d68…50a69b

94proceed

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.