0xa0d52fb2d611360a5331b49857ad5c35db9a250e

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

3 shared labels

ethereumHigh

0x32da24…f81e3e

12escalate

3 shared labels

ethereumHigh

0x9be599…a15573

12escalate

3 shared labels

ethereumHigh

0x95584c…84eae3

12escalate

3 shared labels

ethereumHigh

0x32da24…f81e3e

12escalate

3 shared labels

ethereumHigh

0x9be599…a15573

12escalate

3 shared labels

EthereumLow

0x11e485…518dda

77review

3 shared labels

EthereumLow

0x11e485…518dda

77review

3 shared labels

EthereumHigh

0x5a5444…3891ca

0escalate

3 shared labels

EthereumHigh

0xd1ea82…2678ea

36escalate

3 shared labels

ethereumMedium

0x69236e…9d067a

56review

2 shared labelsfingerprint match

ethereumMedium

0x6fd8a7…0e9579

60review

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.