CredScore verdict
Compared to last analysis
Sep 6, 2026 →Score
-44
riskier
Tier
Medium → High
Posture
Review → Escalate
New drivers: Sanctions-sensitive exposure context, High-confidence sanctions attribution
Cleared drivers: Review-sensitive fan-out distribution pattern, Balance unavailable
0x96ca…cd7eethereumScore
12
0 = max risk · 100 = clean
High riskEscalateConfidence:44%
Escalate for deeper review
CredScore sees a 5.4-year-old wallet with at least 501 transfers. Sanctions-sensitive exposure context and High-confidence sanctions attribution are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
5.4 years
Transfers observed
501
Last activity
4.2 years ago
Counterparties
8
Primary risk drivers
Sanctions-sensitive exposure context
Sanctioned counterparty interactions observed: 96 · Observed labels: OFAC Sanctioned: Lazarus Group
Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 96
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.
Sanctioned counterparty interactions
Observed entity context
Labels
OFAC Sanctioned: Lazarus Group
Offsetting factors
Established history
Wallet age: 5.4y (observed)
Moderately distributed counterparties
Unique counterparties observed: 8
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: 96 Observed labels: OFAC Sanctioned: Lazarus Group Sanctions-sensitive attribution materially increases review urgency because legal and compliance context becomes critical.
High-confidence sanctions attribution
Sanctioned counterparty interactions observed: 96
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.
Offsetting Factors
Established history Wallet age: 5.4y (observed)
Moderately distributed counterparties
Unique counterparties observed: 8
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: 19% of observed activity. High-confidence attributed interactions: 19% of observed activity.
Observed Entity / Protocol Context
OFAC Sanctioned: Lazarus Group
Confidence Statement
Overall assessment confidence is low (44%), constrained by limited coverage, short history, or sparse 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.
Stronger counterparty attribution coverage could materially improve interpretability and sharpen the current 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 Sep 11, 2026