CredScore verdict
0xdfd5…963dethereum
Score
73
0 = max risk · 100 = clean
Low riskProceedConfidence:46%
Proceed with normal caution
CredScore sees a 5.1-year-old wallet with at least 501 transfers with observed context including Binance Hot Wallet 3, USDT Token. No dominant adverse drivers under current coverage; this case can proceed with normal caution.
Wallet snapshot
Wallet age
5.1 years
Transfers observed
501
Last activity
today
Counterparties
130
Observed entity context
Labels
Binance Hot Wallet 3USDT TokentransfertetherLINK token contractUniswap UNI Token
Protocols
tetherUniswap UNI TokenWBTC contractAave AAVE TokenLINK token contract
Offsetting factors
Established history
Wallet age: 5.1y (observed)
Material attribution coverage
Attributed interaction share: 100% (23% high-confidence)
High-confidence label coverage
High-confidence attributed share: 23%
Observed activity context
Signals worth knowing about, but not strong enough to change the low-risk verdict above.
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.
Funding dependency concentration
Repeated amount-band recirculation: 29 · Funding dependency concentration: 93%
A large share of inbound activity appears to depend on one upstream source, which increases dependence risk and can be a precursor to distribution or circular funding patterns.
Balance unavailable
Native balance: Unknown
Missing core metrics reduce confidence and increase the chance of misclassification.
Analyst briefing
Executive Risk Verdict
This 5.1-year-old address presents lower relative counterparty risk. The observable behavior is consistent with stable usage and no dominant adverse drivers were detected, though it should still be contextualized with broader exposure intelligence when available.
Decision Posture
Proceed with normal caution. No dominant adverse drivers were identified under the current coverage, and the signal quality is strong enough to support a lower-risk routine posture.
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.
Funding dependency concentration
Repeated amount-band recirculation: 29
Funding dependency concentration: 93%
A large share of inbound activity appears to depend on one upstream source, which increases dependence risk and can be a precursor to distribution or circular funding patterns.
Balance unavailable
Native balance: Unknown
Missing core metrics reduce confidence and increase the chance of misclassification.
Offsetting Factors
Established history Wallet age: 5.1y (observed)
Material attribution coverage
Attributed interaction share: 100% (23% high-confidence)
High-confidence label coverage
High-confidence attributed share: 23%
Structural Pattern Observations
Fan-out distribution (medium confidence) The observed flow pattern is consistent with fan-out distribution behavior, where funds move outward across a broad recipient set in a compressed fashion. This can be consistent with legitimate treasury, payroll, or airdrop-style operations, but it deserves review when visibility is thin, the wallet is very new, or sensitive exposure is also present.
Behavior Distribution
Exchange-related interactions: 0% of observed activity. DEX-related interactions: 1% of observed activity. Attributed interactions: 100% of observed activity. High-confidence attributed interactions: 23% of observed activity.
Observed Entity / Protocol Context
Binance Hot Wallet 3 USDT Token transfer tether LINK token contract
Observed Protocol Attribution
tether Uniswap UNI Token WBTC contract Aave AAVE Token LINK token contract
Confidence Statement
Overall assessment confidence is moderate (46%), reflecting partial coverage with usable but still incomplete behavioral signal.
Sensitivity notes
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.
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Shared Jul 12, 2026