CredScore verdict
0xae2f…ba65ethereumScore
27
0 = max risk · 100 = clean
High riskEscalateConfidence:54%
Escalate for deeper review
CredScore sees a 5.4-year-old wallet with at least 501 transfers. History capped by fetch limit and Source return flow detected are severe enough to require escalation before any further interaction.
Wallet snapshot
Wallet age
5.4 years
Transfers observed
501
Last activity
11 months ago
Counterparties
91
Primary risk drivers
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.
Source return flow detected
Source return count: 13 · Linked recirculating counterparties: 5 · Paired mirroring count: 5 · Repeated amount-band recirculation: 5
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Linked counterparty recirculation
Source return count: 13 · Linked recirculating counterparties: 5 · Paired mirroring count: 5 · Repeated amount-band recirculation: 5
A small connected set of counterparties appears repeatedly on both sides of flow, which is consistent with recirculation rather than broad organic usage.
Observed entity context
Labels
USDT TokenuniswapUniswap V3 Routertether
Protocols
tetheruniswapShiba Inu (SHIB)1inch V3 Routerwrapped-eth
Offsetting factors
Established history
Wallet age: 5.4y (observed)
Moderately distributed counterparties
Unique counterparties observed: 91
Material attribution coverage
Attributed interaction share: 100% (11% high-confidence)
Analyst briefing
Executive Risk Verdict
This address presents elevated counterparty risk. History capped by fetch limit and Source return flow detected compose adverse signal severe enough to justify escalation under current coverage.
Decision Posture
Escalate for deeper review. This case should not be treated as routine. Sensitive exposure or materially adverse signal composition is strong enough to justify deeper investigation before proceeding.
Primary Risk Drivers
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.
Source return flow detected
Source return count: 13
Linked recirculating counterparties: 5
Paired mirroring count: 5
Observed sources later reappear as return destinations, which reduces legibility and suggests recirculating flow rather than clean one-direction settlement.
Linked counterparty recirculation
Source return count: 13
Linked recirculating counterparties: 5
Paired mirroring count: 5
A small connected set of counterparties appears repeatedly on both sides of flow, which is consistent with recirculation rather than broad organic usage.
Offsetting Factors
Established history Wallet age: 5.4y (observed)
Moderately distributed counterparties
Unique counterparties observed: 91
Material attribution coverage
Attributed interaction share: 100% (11% high-confidence)
Behavior Distribution
Exchange-related interactions: 0% of observed activity. DEX-related interactions: 6% of observed activity. Bridge-related interactions: 0% of observed activity. Router / aggregator interactions: 2% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 11% of observed activity.
Normalization Context
Observed bridge activity is being treated primarily as cross-chain operational context, not as a standalone adverse signal.
DEX and router usage further support a normal DeFi execution interpretation unless paired with sensitive exposure or suspicious concentration.
Observed Entity / Protocol Context
USDT Token uniswap Uniswap V3 Router tether
Observed Protocol Attribution
tether uniswap Shiba Inu (SHIB) 1inch V3 Router wrapped-eth
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.
The dormancy-reactivation pattern warrants direct inquiry, understanding what triggered resumed activity would substantially clarify the current behavioral picture.
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Shared Aug 16, 2026