CredScore verdict
0x6fbe…ae16eth-mainnetScore
64
0 = max risk · 100 = clean
Medium riskReviewConfidence:76%
Review before proceeding
CredScore sees a 1.0-year-old wallet with 100 transfers. Source return flow detected and Repeated amount-band recirculation warrant manual review before this case is treated as routine. Observed entity context: DAI Token, transfer.
Wallet snapshot
Wallet age
1.0 years
Transfers observed
100
Native balance
0.0001 ETH
Last activity
11 months ago
Counterparties
42
Primary risk drivers
Source return flow detected
Circular loop count: 1 · Source return count: 3 · Repeated amount-band recirculation: 7 · Funding dependency concentration: 29%
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Repeated amount-band recirculation
Circular loop count: 1 · Source return count: 3 · Repeated amount-band recirculation: 7 · Funding dependency concentration: 29%
Repeated reuse of the same transfer size bands across a narrow routing set can indicate mechanical flow or recirculation rather than broad organic usage.
Review-sensitive fan-out distribution pattern
Transfers observed: 100 · Unique counterparties: 42 · Top counterparty share: 15%
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.
Observed entity context
Labels
DAI Tokentransfermaker
Protocols
maker
Offsetting factors
Established history
Wallet age: 1.0y (observed)
Observable activity present
Transfers observed: 100
Moderately distributed counterparties
Unique counterparties observed: 42
Analyst briefing
Executive Risk Verdict
This 1.0-year-old address presents moderate counterparty risk. The leading concerns are Source return flow detected and Repeated amount-band recirculation, which warrant manual review before this case is treated as routine.
Decision Posture
Review before proceeding. This case is not an automatic stop, but the current signal mix or confidence level is not strong enough to treat it as routine without human review.
Primary Risk Drivers
Source return flow detected Circular loop count: 1 Source return count: 3 Repeated amount-band recirculation: 7 Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Repeated amount-band recirculation
Circular loop count: 1
Source return count: 3
Repeated amount-band recirculation: 7
Repeated reuse of the same transfer size bands across a narrow routing set can indicate mechanical flow or recirculation rather than broad organic usage.
Review-sensitive fan-out distribution pattern
Transfers observed: 100
Unique counterparties: 42
Top counterparty share: 15%
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: 1.0y (observed)
Observable activity present
Transfers observed: 100
Moderately distributed counterparties
Unique counterparties observed: 42
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. High-confidence attributed interactions: 15% of observed activity.
Observed Entity / Protocol Context
DAI Token transfer maker
Observed Protocol Attribution
maker
Confidence Statement
Overall assessment confidence is high (76%), reflecting stronger sample depth, better coverage, and more stable observable behavior.
Sensitivity notes
Fresh activity could change this classification because the current signal is not recent.
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 Aug 25, 2026