CredScore verdict
0xf291…80afethereumScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:44%
Escalate for deeper review
CredScore sees a 9-month-old wallet with 17 transfers. Sanctions-sensitive exposure context and High-confidence sanctions attribution are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
9 months
Transfers observed
17
Last activity
7 months ago
Counterparties
13
Primary risk drivers
Sanctions-sensitive exposure context
Sanctioned counterparty interactions observed: 2 · Observed labels: USDT Token, tether, USDT contract
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 2
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
Review-sensitive fan-out distribution pattern
Transfers observed: 17 · Unique counterparties: 13 · Top counterparty share: 12%
A review-sensitive fan-out distribution pattern was detected. The structural heuristics indicate this wallet distributes funds to multiple distinct recipients in a compressed fashion that raises review priority when combined with other signals.
Sanctioned counterparty interactions
Observed entity context
Labels
USDT TokentetherUSDT contract
Protocols
tetherUSDT contract
Offsetting factors
Observable activity present
Transfers observed: 17
Moderately distributed counterparties
Unique counterparties observed: 13
Material attribution coverage
Attributed interaction share: 100% (12% 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: 2 Observed labels: USDT Token, tether, USDT contract Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 2
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
Review-sensitive fan-out distribution pattern
Transfers observed: 17
Unique counterparties: 13
Top counterparty share: 12%
A review-sensitive fan-out distribution pattern was detected. The structural heuristics indicate this wallet distributes funds to multiple distinct recipients in a compressed fashion that raises review priority when combined with other signals.
Offsetting Factors
Observable activity present Transfers observed: 17
Moderately distributed counterparties
Unique counterparties observed: 13
Material attribution coverage
Attributed interaction share: 100% (12% 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
Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 12% of observed activity.
Observed Entity / Protocol Context
USDT Token tether USDT contract
Observed Protocol Attribution
tether USDT contract
Confidence Statement
Overall assessment confidence is low (44%), constrained by limited coverage, short history, or sparse 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 Jul 13, 2026