CredScore verdict
0x03cf…95e2eth-mainnetScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:80%
Escalate for deeper review
CredScore sees a 4.6-year-old wallet with at least 400 transfers. Sanctions-sensitive exposure context and High-confidence sanctions attribution are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
4.6 years
Transfers observed
400
Native balance
0.0063 ETH
Last activity
1.3 years ago
Counterparties
48
Primary risk drivers
Sanctions-sensitive exposure context
Sanctioned counterparty interactions observed: 1 · Observed labels: USDC Token, DAI Token, circle
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 1
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
History capped by fetch limit
Transfers observed: At least 400 · History cap: observed count may be a lower bound (cap 500)
Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
Sanctioned counterparty interactions
Lazarus Group (DPRK)
0x098b716b8aaf21512996dc57eb0615e2383e2f96 ↗OFAC_SDN · Axie Infinity Ronin Bridge hack proceeds
Observed entity context
Labels
USDC TokenDAI TokencirclemakerENS Registrar Controller
Protocols
circlemakerENS Registrar Controller1inch Router
Offsetting factors
Established history
Wallet age: 4.6y (observed)
Moderately distributed counterparties
Unique counterparties observed: 48
Material attribution coverage
Attributed interaction share: 100% (27% high-confidence)
Analyst briefing
Executive Risk Verdict
This address presents elevated counterparty risk. Sanctions-sensitive exposure context and High-confidence sanctions attribution compose adverse signal severe enough to justify escalation under current coverage.
Decision Posture
Escalate for deeper review. A specific high-risk signal combination was detected (sanctions self). This pattern is materially more concerning than any individual flag in isolation and requires human context to resolve correctly.
Primary Risk Drivers
Sanctions-sensitive exposure context Sanctioned counterparty interactions observed: 1 Observed labels: USDC Token, DAI Token, circle Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 1
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
History capped by fetch limit
Transfers observed: At least 400
History cap: observed count may be a lower bound (cap 500)
Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
Offsetting Factors
Established history Wallet age: 4.6y (observed)
Moderately distributed counterparties
Unique counterparties observed: 48
Material attribution coverage
Attributed interaction share: 100% (27% high-confidence)
Structural Pattern Observations
Fan-out distribution (medium confidence) The observed flow pattern is consistent with fan-out distribution behavior and also carries additional review pressure from thin visibility, limited history, or sensitive exposure. This is not a misconduct finding, but it is not a routine pattern under current coverage.
Behavior Distribution
DEX-related interactions: 0% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 27% of observed activity.
Observed Entity / Protocol Context
USDC Token DAI Token circle maker ENS Registrar Controller
Observed Protocol Attribution
circle maker ENS Registrar Controller 1inch Router
Confidence Statement
Overall assessment confidence is high (80%), reflecting stronger sample depth, better coverage, and more stable observable behavior.
Sensitivity notes
Improved transaction coverage could materially change activity-based interpretation and increase confidence.
Fresh activity could change this classification because the current signal is not recent.
Off-chain context would be particularly valuable here, the detected structural patterns raise interpretive ambiguity that on-chain data alone cannot resolve.
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Shared Jul 11, 2026