0x96d0471a061593e20f0ebc8c5b8b2d056862aeff

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

0x48c04e…38a7ff

69review

5 shared labelsfingerprint match

ethereumHigh

0x19aa5f…0b4dff

12escalate

5 shared labels

ethereumLow

0x29d552…a0274b

88review

4 shared labelsfingerprint match

ethereumLow

0xe59cd2…64595a

79review

4 shared labelsfingerprint match

ethereumLow

0xbfe129…64fb13

74review

4 shared labelsfingerprint match

ethereumLow

0x464845…e25980

84review

4 shared labelsfingerprint match

ethereumLow

0x8a651e…80fed6

90review

4 shared labelsfingerprint match

ethereumLow

0xbb7218…f0290c

69review

4 shared labelsfingerprint match

ethereumMedium

0x1aafe5…d26bc0

62review

4 shared labels

ethereumMedium

0xf89d69…5eaa40

60review

4 shared labels

ethereumHigh

0xe05f52…b54a2a

12escalate

4 shared labels

ethereumHigh

0xd8500c…25e10e

12escalate

4 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.