ethereum
Behavioral watermarkMOONSHOT · v10x08a0a73de696bdc6824f68e221b3fcf96bca07b6
The wallet’s 20-dimensional behavioral fingerprint, and the wallets in CredScore’s corpus with the most similar operational shape. High similarity across wallets with different addresses, chains, or attribution suggests the same actor, service, or laundering ring — even when no labels overlap.
Fingerprint for this wallet · 100% coverage
Wallet age
73
Transfer volume
73
Activity rate
11
Counterparty breadth
57
Counterparty concentration
41
Counterparty entropy
77
Inbound share
28
Rapid-inflow burstiness
18
Rapid-outflow burstiness
60
Mixer exposure
0
Bridge exposure
0
Exchange exposure
0
DEX exposure
2
Aggregator exposure
0
Protocol exposure
23
Attribution coverage
100
Zero-value transfer ratio
0
Recency (dormancy)
34
Self-transfer ratio
0
Top inbound source share
0
Closest matches in the CredScore corpus (10)
95%
similarity
ethereumlowscore 85
0xddfabc…2a0740
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Counterparty concentration, Recency (dormancy), Counterparty breadth
Diverges on: Counterparty concentration, Recency (dormancy), Counterparty breadth
94%
similarity
ethereummediumscore 66
0xc5a934…b52396
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Counterparty concentration, Rapid-outflow burstiness, Inbound share
Diverges on: Counterparty concentration, Rapid-outflow burstiness, Inbound share
94%
similarity
ethereumlowscore 69
0x52bc44…7be3b5
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Counterparty concentration, Top inbound source share, Rapid-outflow burstiness
Diverges on: Counterparty concentration, Top inbound source share, Rapid-outflow burstiness
93%
similarity
ethereumlowscore 83
0x2354cf…dd664e
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Rapid-outflow burstiness, Inbound share, Counterparty concentration
Diverges on: Rapid-outflow burstiness, Inbound share, Counterparty concentration
93%
similarity
ethereummediumscore 59
0x89e51f…aa7c40
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Zero-value transfer ratio, Protocol exposure, Recency (dormancy)
Diverges on: Zero-value transfer ratio, Protocol exposure, Recency (dormancy)
93%
similarity
ethereumhighscore 12
0xf4377e…d602d4
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Recency (dormancy), Zero-value transfer ratio, Counterparty entropy
Diverges on: Recency (dormancy), Zero-value transfer ratio, Counterparty entropy
92%
similarity
ethereummediumscore 57
0x40225b…ef0568
Most alike: Mixer exposure, Exchange exposure, Attribution coverage
Diverges on: Rapid-outflow burstiness, Top inbound source share, Counterparty concentration
Diverges on: Rapid-outflow burstiness, Top inbound source share, Counterparty concentration
92%
similarity
ethereummediumscore 56
0x69236e…9d067a
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Recency (dormancy), Zero-value transfer ratio, Rapid-outflow burstiness
Diverges on: Recency (dormancy), Zero-value transfer ratio, Rapid-outflow burstiness
92%
similarity
ethereumhighscore 12
0xdb2720…ada8fe
Most alike: Transfer volume, Mixer exposure, Bridge exposure
Diverges on: Recency (dormancy), Rapid-outflow burstiness, Zero-value transfer ratio
Diverges on: Recency (dormancy), Rapid-outflow burstiness, Zero-value transfer ratio
92%
similarity
ethereumhighscore 23
0x9e40b3…9eb8dc
Most alike: Bridge exposure, Exchange exposure, Attribution coverage
Diverges on: Zero-value transfer ratio, Top inbound source share, Counterparty entropy
Diverges on: Zero-value transfer ratio, Top inbound source share, Counterparty entropy
How the fingerprint works. Twenty behavioral dimensions (wallet age, transfer volume, activity rate, counterparty breadth, timing patterns, protocol mix, dormancy, self-ratio, etc.) are normalized to 0-1 and stored as a vector per wallet. Similarity is cosine distance in that space. Dimensions are pattern metrics only — score, tier, and sanctions counts are excluded to keep the fingerprint from becoming circular. Read the technical primitive at /whitepaper.