CredScore verdict
0x1dfc…e1d4ethereumScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:52%
Escalate for deeper review
CredScore sees a 8-month-old wallet with 249 transfers. Sanctions-sensitive exposure context and High-confidence sanctions attribution are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
8 months
Transfers observed
249
Last activity
8 months ago
Counterparties
15
Primary risk drivers
Sanctions-sensitive exposure context
Sanctioned counterparty interactions observed: 1 · Observed labels: circle, USDC Token
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.
Funding dependency concentration
Repeated amount-band recirculation: 1 · Funding dependency concentration: 100% · Multi-hop pressure: 22/100
A large share of inbound activity appears to depend on one upstream source, which increases dependence risk and can be a precursor to distribution or circular funding patterns.
Sanctioned counterparty interactions
Observed entity context
Labels
circleUSDC Token
Protocols
circle
Offsetting factors
Observable activity present
Transfers observed: 249
Moderately distributed counterparties
Unique counterparties observed: 15
Recognizable exchange or protocol context
Observed label: circle · Observed label: USDC Token
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: circle, USDC Token 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.
Funding dependency concentration
Repeated amount-band recirculation: 1
Funding dependency concentration: 100%
Multi-hop pressure: 22/100
A large share of inbound activity appears to depend on one upstream source, which increases dependence risk and can be a precursor to distribution or circular funding patterns.
Offsetting Factors
Observable activity present Transfers observed: 249
Moderately distributed counterparties
Unique counterparties observed: 15
Recognizable exchange or protocol context
Observed label: circle
Observed label: USDC Token
Structural Pattern Observations
Fan-out distribution (high 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.
Hub-and-spoke structure (high confidence)
The observed hub-and-spoke structure is further amplified by sensitive context, which materially increases review priority even though the structural shape itself is not inherently adverse.
Behavior Distribution
Attributed interactions: 100% of observed activity, but only 0% resolved with high confidence, the remainder are unlabeled contract interactions, which is opacity rather than meaningful attribution coverage. High-confidence attributed interactions: 0% of observed activity.
Observed Entity / Protocol Context
circle USDC Token
Observed Protocol Attribution
circle
Confidence Statement
Overall assessment confidence is moderate (52%), reflecting partial coverage with usable but still incomplete behavioral signal.
Sensitivity notes
Fresh activity could change this classification because the current signal is not recent.
Improved data coverage for missing core metrics would likely improve confidence and may affect the trust score.
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 Aug 24, 2026