CredScore verdict
0xd5ed…d510ethereumScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:62%
Escalate for deeper review
CredScore sees a 3.7-year-old wallet with at least 468 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
3.7 years
Transfers observed
468
Last activity
3 months ago
Counterparties
83
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 468 · 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): 59
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
Sanctioned counterparty interactions
FUNNULL TECHNOLOGY INC
0xd5ed34b52ac4ab84d8fa8a231a3218bbf01ed510 ↗OFAC_SDN · Synced from OFAC SDN CSV
Observed entity context
Labels
USDT TokencircletetherUSDC Token
Protocols
tetherUSDT contractcircle
Offsetting factors
Established history
Wallet age: 3.7y (observed)
Moderately distributed counterparties
Unique counterparties observed: 83
Material attribution coverage
Attributed interaction share: 100% (32% 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 468
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): 59
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: 3.7y (observed)
Moderately distributed counterparties
Unique counterparties observed: 83
Material attribution coverage
Attributed interaction share: 100% (32% 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
Exchange-related interactions: 0% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 32% of observed activity.
Observed Entity / Protocol Context
USDT Token circle tether USDC Token
Observed Protocol Attribution
tether USDT contract circle
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.
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 11, 2026