0x11111112542d85b3ef69ae05771c2dccff4faa26

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

0x931546…c8c568

12escalate

4 shared labels

ethereumLow

0x111111…43097d

72proceed

3 shared labelsfingerprint match

ethereumLow

0xc36442…11fe88

86proceed

3 shared labelsfingerprint match

ethereumLow

0x2faf48…776ad2

76review

3 shared labelsfingerprint match

ethereumLow

0x97a5a0…0905af

72review

3 shared labelsfingerprint match

ethereumHigh

0x998a7f…b27137

30escalate

3 shared labels

ethereumHigh

0xae2fab…85ba65

27escalate

3 shared labels

EthereumHigh

0xae2fab…85ba65

25escalate

3 shared labels

EthereumHigh

0x8c2669…dc4ec3

12escalate

3 shared labels

ethereumLow

0xef1c6e…54bf6b

78proceed

2 shared labelsfingerprint match

EthereumLow

0x115131…9fe30f

72proceed

2 shared labelsfingerprint match

EthereumLow

0x1a57e6…41fdcc

87proceed

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.