CredScore Defensible Verdict Report
Verdict on 0xc9f5…6a11 ethereum
0xc9f5296eb3ac266c94568d790b6e91eba7d76a11
Verdict
Score
47/100
0 = maximum risk · 100 = clean
Tier
Medium
Decision posture
Review
Confidence
50%
Low — thin signal, verify with your other tools
Review before proceeding
Executive summary
CredScore sees a 7.7-year-old wallet with at least 501 transfers. History capped by fetch limit and High inbound value concentration warrant manual review before this case is treated as routine. Observed entity context: USDC Token, USDT Token.
Wallet snapshot at analysis time
Transfers observed: 501
Wallet age: 7.7 years (2801 days)
Last activity: 0 days ago
Unique counterparties: 131
Sanctions exposure count: 0
Mixer-like interactions: 0
Bridge-like interactions: 0
Primary risk drivers
- History capped by fetch limitmedium
- 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 concentrationmedium
- Single source supplied 86% of inbound ETH value
- Distinct inbound counterparties (all assets): 26
A large share of inbound value is concentrated in a few transfers, which can indicate a single large unexplained windfall.
- Source return flow detectedmedium
- Circular loop count: 1
- Source return count: 3
- Linked recirculating counterparties: 1
- Paired mirroring count: 1
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Offsetting factors considered
- Established history. Wallet age: 7.7y (observed)
- Material attribution coverage. Attributed interaction share: 100% (55% high-confidence)
- High-confidence label coverage. High-confidence attributed share: 55%
Sensitivity — what would change this verdict
- 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.
Observed entity / protocol context
USDC TokenUSDT TokentransferFromcircletether
Analyst notes
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Analyst notes
[no analyst notes added]