CredScore verdict
0x52bc…e3b5eth-mainnet
Score
73
0 = max risk · 100 = clean
Low riskReviewConfidence:76%
Review before proceeding
CredScore sees a 11.0-year-old wallet with at least 501 transfers. History capped by fetch limit and High transfer activity warrant manual review before this case is treated as routine. Observed entity context: tether, USDT Token.
Wallet snapshot
Wallet age
11.0 years
Transfers observed
501
Native balance
0.1745 ETH
Last activity
6 months ago
Counterparties
496
Observed entity context
Labels
tetherUSDT Token
Protocols
USDT contracttether
Offsetting factors
Established history
Wallet age: 11.0y (observed)
Recognizable exchange or protocol context
Observed label: tether · Observed label: USDT Token
Recognizable protocol attribution
Observed protocol: USDT contract · Observed protocol: tether
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.
High transfer activity
Transfers observed: At least 501 · History cap: observed count may be a lower bound (cap 500)
Higher activity increases interpretive complexity, but should not be treated as adverse on its own unless paired with suspicious concentration, rapid routing, or sensitive exposure.
Stale recent activity
Days since last observed activity: 187
A long gap since last activity reduces the freshness of the observable signal.
Analyst briefing
Executive Risk Verdict
This 11.0-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
Review before proceeding. One or more review-sensitive structural patterns were detected (Fan-out distribution), which elevates the review requirement beyond what the base risk tier alone would indicate. Human context is needed to interpret these findings correctly.
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.
High transfer activity
Transfers observed: At least 501
History cap: observed count may be a lower bound (cap 500)
Higher activity increases interpretive complexity, but should not be treated as adverse on its own unless paired with suspicious concentration, rapid routing, or sensitive exposure.
Stale recent activity
Days since last observed activity: 187
A long gap since last activity reduces the freshness of the observable signal.
Offsetting Factors
Established history Wallet age: 11.0y (observed)
Recognizable exchange or protocol context
Observed label: tether
Observed label: USDT Token
Recognizable protocol attribution
Observed protocol: USDT contract
Observed protocol: tether
Structural Pattern Observations
Fan-out distribution (high 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, but only 0% resolved with high confidence, the remainder are unlabeled contract interactions, which is opacity rather than meaningful attribution coverage. High-confidence attributed interactions: 0% of observed activity.
Observed Entity / Protocol Context
tether USDT Token
Observed Protocol Attribution
USDT contract tether
Confidence Statement
Overall assessment confidence is high (76%), reflecting stronger sample depth, better coverage, and more stable observable behavior.
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.
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 28, 2026