Ethereum
Behavioral watermarkMOONSHOT · v10xe14c03622d369e2196d881762e6523fcb6f12af7
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
94
Transfer volume
71
Activity rate
2
Counterparty breadth
62
Counterparty concentration
15
Counterparty entropy
100
Inbound share
17
Rapid-inflow burstiness
0
Rapid-outflow burstiness
36
Mixer exposure
1
Bridge exposure
0
Exchange exposure
2
DEX exposure
14
Aggregator exposure
10
Protocol exposure
23
Attribution coverage
100
Zero-value transfer ratio
60
Recency (dormancy)
100
Self-transfer ratio
0
Top inbound source share
27
Closest matches in the CredScore corpus (10)
99%
similarity
Ethereummediumscore 58
0x5b94fd…b1408c
Most alike: Attribution coverage, Recency (dormancy), Rapid-inflow burstiness
Diverges on: Counterparty concentration, Rapid-outflow burstiness, Transfer volume
Diverges on: Counterparty concentration, Rapid-outflow burstiness, Transfer volume
99%
similarity
ethereummediumscore 53
0xa9615d…3ed066
Most alike: Counterparty breadth, Bridge exposure, Attribution coverage
Diverges on: Top inbound source share, Protocol exposure, DEX exposure
Diverges on: Top inbound source share, Protocol exposure, DEX exposure
98%
similarity
Ethereumhighscore 11
0xe6ec0d…61c961
Most alike: Bridge exposure, Attribution coverage, Recency (dormancy)
Diverges on: Top inbound source share, Counterparty concentration, DEX exposure
Diverges on: Top inbound source share, Counterparty concentration, DEX exposure
98%
similarity
ethereumhighscore 12
0xd8500c…25e10e
Most alike: Counterparty entropy, Bridge exposure, Attribution coverage
Diverges on: Top inbound source share, Zero-value transfer ratio, Protocol exposure
Diverges on: Top inbound source share, Zero-value transfer ratio, Protocol exposure
98%
similarity
ethereumlowscore 82
0x346e95…33bfe5
Most alike: Counterparty entropy, Bridge exposure, Attribution coverage
Diverges on: Zero-value transfer ratio, Protocol exposure, Top inbound source share
Diverges on: Zero-value transfer ratio, Protocol exposure, Top inbound source share
98%
similarity
ethereummediumscore 56
0x69236e…9d067a
Most alike: Bridge exposure, Attribution coverage, Recency (dormancy)
Diverges on: Top inbound source share, Inbound share, Zero-value transfer ratio
Diverges on: Top inbound source share, Inbound share, Zero-value transfer ratio
98%
similarity
ethereumhighscore 12
0xf4377e…d602d4
Most alike: Counterparty entropy, Bridge exposure, Attribution coverage
Diverges on: Top inbound source share, Inbound share, Zero-value transfer ratio
Diverges on: Top inbound source share, Inbound share, Zero-value transfer ratio
97%
similarity
ethereumhighscore 12
0xdb2720…ada8fe
Most alike: Bridge exposure, Attribution coverage, Activity rate
Diverges on: Zero-value transfer ratio, Top inbound source share, Rapid-outflow burstiness
Diverges on: Zero-value transfer ratio, Top inbound source share, Rapid-outflow burstiness
97%
similarity
ethereumlowscore 75
0x915d79…8ea7df
Most alike: Counterparty entropy, Bridge exposure, Attribution coverage
Diverges on: Inbound share, Top inbound source share, Counterparty breadth
Diverges on: Inbound share, Top inbound source share, Counterparty breadth
97%
similarity
ethereumlowscore 80
0xc2608b…407d83
Most alike: Counterparty entropy, Bridge exposure, Attribution coverage
Diverges on: Recency (dormancy), Top inbound source share, Inbound share
Diverges on: Recency (dormancy), Top inbound source share, Inbound share
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.