CredScore verdict
0x4f47…270cethereum
Score
12
0 = max risk · 100 = clean
High riskEscalateConfidence:62%
Escalate for deeper review
CredScore sees a 4.9-year-old wallet with at least 501 transfers. High-confidence sanctions attribution and History capped by fetch limit are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
4.9 years
Transfers observed
501
Last activity
7 months ago
Counterparties
93
Primary risk drivers
High-confidence sanctions attribution
This wallet itself is on a sanctions watchlist (per the curated registry or OFAC SDN sync).
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
History capped by fetch limit
Transfers observed: At least 501 · History cap: observed count may be a lower bound (cap 500)
Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
High inbound value concentration
Single source supplied >99% of inbound ETH value · Distinct inbound counterparties (all assets): 70
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
Sanctioned counterparty interactions
Observed entity context
Labels
OFAC Sanctioned: Genesis MarketUSDT TokenUSDC Tokencircletether
Protocols
tetherUSDT contractcircle1inch V4 RouterEthereum Foundation
Offsetting factors
Established history
Wallet age: 4.9y (observed)
Moderately distributed counterparties
Unique counterparties observed: 93
Material attribution coverage
Attributed interaction share: 100% (31% high-confidence)
Analyst briefing
Executive Risk Verdict
This address presents elevated counterparty risk. High-confidence sanctions attribution and History capped by fetch limit 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
High-confidence sanctions attribution This wallet itself is on a sanctions watchlist (per the curated registry or OFAC SDN sync). Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
History capped by fetch limit
Transfers observed: At least 501
History cap: observed count may be a lower bound (cap 500)
Incomplete transfer coverage reduces confidence because observed totals may be lower bounds.
High inbound value concentration
Single source supplied >99% of inbound ETH value
Distinct inbound counterparties (all assets): 70
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
Offsetting Factors
Established history Wallet age: 4.9y (observed)
Moderately distributed counterparties
Unique counterparties observed: 93
Material attribution coverage
Attributed interaction share: 100% (31% high-confidence)
Behavior Distribution
Exchange-related interactions: 10% of observed activity. DEX-related interactions: 1% of observed activity. Bridge-related interactions: 1% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 31% of observed activity.
Normalization Context
Observed bridge activity is being treated primarily as cross-chain operational context, not as a standalone adverse signal.
DEX and router usage further support a normal DeFi execution interpretation unless paired with sensitive exposure or suspicious concentration.
Observed Entity / Protocol Context
OFAC Sanctioned: Genesis Market USDT Token USDC Token circle tether
Observed Protocol Attribution
tether USDT contract circle 1inch V4 Router Ethereum Foundation
Confidence Statement
Overall assessment confidence is moderate (62%), reflecting partial coverage with usable but still incomplete behavioral signal.
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.
Improved data coverage for missing core metrics would likely improve confidence and may affect the trust score.
The dormancy-reactivation pattern warrants direct inquiry, understanding what triggered resumed activity would substantially clarify the current behavioral picture.
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Shared Jul 11, 2026