CredScore verdict
0x3065…342fethereumScore
16
0 = max risk · 100 = clean
High riskEscalateConfidence:50%
Escalate for deeper review
CredScore sees a 6.6-year-old wallet with at least 501 transfers. Sanctions-sensitive exposure context and History capped by fetch limit are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
6.6 years
Transfers observed
501
Last activity
1.3 years ago
Counterparties
294
Primary risk drivers
Sanctions-sensitive exposure context
Sanctioned counterparty interactions observed: 4
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.
Review-sensitive fan-out distribution pattern
Transfers observed: At least 501 · Unique counterparties: 294 · Top counterparty share: 5%
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
OFAC SDN-listed address
0x5512d943ed1f7c8a43f3435c85f7ab68b30121b0 ↗OFAC_SDN · OFAC SDN ETH list (maintained mirror); not present in truncated CSV
OFAC SDN-listed address
0x67d40ee1a85bf4a4bb7ffae16de985e8427b6b45 ↗OFAC_SDN · OFAC SDN ETH list (maintained mirror); not present in truncated CSV
OFAC SDN-listed address
0x48549a34ae37b12f6a30566245176994e17c6b4a ↗OFAC_SDN · OFAC SDN ETH list (maintained mirror); not present in truncated CSV
OFAC SDN-listed address
0xc455f7fd3e0e12afd51fba5c106909934d8a0e4a ↗OFAC_SDN · OFAC SDN ETH list (maintained mirror); not present in truncated CSV
Offsetting factors
Established history
Wallet age: 6.6y (observed)
Analyst briefing
Executive Risk Verdict
This address presents elevated counterparty risk. Sanctions-sensitive exposure context 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 exposure). 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: 4 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.
Review-sensitive fan-out distribution pattern
Transfers observed: At least 501
Unique counterparties: 294
Top counterparty share: 5%
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
Established history Wallet age: 6.6y (observed)
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 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.
Confidence Statement
Overall assessment confidence is moderate (50%), 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 12, 2026