0x264bd8291fae1d75db2c5f573b07faa6715997b5

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

0x8c2669…dc4ec3

12escalate

4 shared labels

ethereumLow

0x446b2a…c02cd0

75review

3 shared labelsfingerprint match

ethereumLow

0xc88f76…10e7b1

83review

3 shared labelsfingerprint match

EthereumLow

0x9642b2…2f5d4e

86review

3 shared labelsfingerprint match

ethereumMedium

0x00cdc1…f28ba3

62review

3 shared labels

EthereumMedium

0x00cdc1…f28ba3

67review

3 shared labels

EthereumMedium

0x8c8a3e…a017cf

59review

3 shared labels

EthereumHigh

0xdd4c48…1d3384

4escalate

3 shared labels

EthereumHigh

0x9be599…a15573

12escalate

3 shared labels

ethereumLow

0x58b704…925023

89review

2 shared labelsfingerprint match

ethereumLow

0xf4440a…7902cc

77review

2 shared labelsfingerprint match

ethereumLow

0x1ab497…8f8f23

80review

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.