Ethereum
Behavioral watermarkMOONSHOT · v10xdd4c48c0b24039969fc16d1cdf626eab821d3384
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
98
Transfer volume
73
Activity rate
1
Counterparty breadth
71
Counterparty concentration
26
Counterparty entropy
100
Inbound share
98
Rapid-inflow burstiness
10
Rapid-outflow burstiness
0
Mixer exposure
1
Bridge exposure
1
Exchange exposure
0
DEX exposure
0
Aggregator exposure
0
Protocol exposure
10
Attribution coverage
100
Zero-value transfer ratio
1
Recency (dormancy)
5
Self-transfer ratio
0
Top inbound source share
89
Closest matches in the CredScore corpus (10)
99%
similarity
ethereumlowscore 75
0x3f5ce5…36f0be
Most alike: Transfer volume, Counterparty entropy, Aggregator exposure
Diverges on: Counterparty concentration, Top inbound source share, Rapid-inflow burstiness
Diverges on: Counterparty concentration, Top inbound source share, Rapid-inflow burstiness
99%
similarity
ethereumlowscore 69
0x0681d8…0edbbf
Most alike: Transfer volume, Counterparty entropy, Aggregator exposure
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
99%
similarity
ethereumlowscore 75
0x564286…3aaced
Most alike: Transfer volume, Counterparty entropy, Attribution coverage
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
99%
similarity
ethereumlowscore 74
0xd55123…2192ff
Most alike: Counterparty entropy, Aggregator exposure, Attribution coverage
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
Diverges on: Counterparty concentration, Top inbound source share, Counterparty breadth
99%
similarity
ethereumlowscore 80
0xe81d6f…af92c7
Most alike: Transfer volume, Counterparty entropy, Exchange exposure
Diverges on: Rapid-inflow burstiness, Counterparty concentration, Protocol exposure
Diverges on: Rapid-inflow burstiness, Counterparty concentration, Protocol exposure
98%
similarity
Ethereumlowscore 98
0x267be1…4ffdc0
Most alike: Transfer volume, Counterparty entropy, Aggregator exposure
Diverges on: Inbound share, Rapid-outflow burstiness, Activity rate
Diverges on: Inbound share, Rapid-outflow burstiness, Activity rate
98%
similarity
Ethereumhighscore 12Lazarus Group (Ronin Bridge Hack)
0x098b71…3e2f96
Most alike: Transfer volume, Exchange exposure, Aggregator exposure
Diverges on: Inbound share, Zero-value transfer ratio, Rapid-outflow burstiness
Diverges on: Inbound share, Zero-value transfer ratio, Rapid-outflow burstiness
97%
similarity
ethereumhighscore 21
0x30481d…68c0d7
Most alike: Exchange exposure, Aggregator exposure, Attribution coverage
Diverges on: Protocol exposure, Transfer volume, Counterparty breadth
Diverges on: Protocol exposure, Transfer volume, Counterparty breadth
97%
similarity
ethereumhighscore 12
0xe05f52…b54a2a
Most alike: Transfer volume, Exchange exposure, Aggregator exposure
Diverges on: Inbound share, Wallet age, Zero-value transfer ratio
Diverges on: Inbound share, Wallet age, Zero-value transfer ratio
97%
similarity
Ethereumhighscore 12
0x2c7dcd…d179dc
Most alike: Aggregator exposure, Attribution coverage, Self-transfer ratio
Diverges on: Inbound share, Counterparty breadth, Protocol exposure
Diverges on: Inbound share, Counterparty breadth, Protocol exposure
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.