CredScore verdict
0x5d5b…d0efethereumScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:54%
Escalate for deeper review
CredScore sees a 4.8-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
4.8 years
Transfers observed
501
Last activity
9 months ago
Counterparties
41
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 92% of inbound ETH value · Distinct inbound counterparties (all assets): 27
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
USDT Tokentethertransfer
Protocols
USDT contracttether
Offsetting factors
Established history
Wallet age: 4.8y (observed)
Moderately distributed counterparties
Unique counterparties observed: 41
Recognizable exchange or protocol context
Observed label: USDT Token · Observed label: tether · Observed label: transfer
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 92% of inbound ETH value
Distinct inbound counterparties (all assets): 27
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: 4.8y (observed)
Moderately distributed counterparties
Unique counterparties observed: 41
Recognizable exchange or protocol context
Observed label: USDT Token
Observed label: tether
Observed label: transfer
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, but only 5% resolved with high confidence, the remainder are unlabeled contract interactions, which is opacity rather than meaningful attribution coverage. High-confidence attributed interactions: 5% of observed activity.
Observed Entity / Protocol Context
USDT Token tether transfer
Observed Protocol Attribution
USDT contract tether
Confidence Statement
Overall assessment confidence is moderate (54%), 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.
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