ethereum
Behavioral watermarkMOONSHOT · v10x11111112542d85b3ef69ae05771c2dccff4faa26
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
95
Transfer volume
72
Activity rate
3
Counterparty breadth
61
Counterparty concentration
49
Counterparty entropy
71
Inbound share
29
Rapid-inflow burstiness
18
Rapid-outflow burstiness
44
Mixer exposure
0
Bridge exposure
0
Exchange exposure
0
DEX exposure
0
Aggregator exposure
0
Protocol exposure
54
Attribution coverage
100
Zero-value transfer ratio
1
Recency (dormancy)
6
Self-transfer ratio
0
Top inbound source share
28
Closest matches in the CredScore corpus (10)
97%
similarity
ethereumhighscore 12
0x1a2a1c…d454f2
Most alike: Mixer exposure, Aggregator exposure, Attribution coverage
Diverges on: Counterparty entropy, Counterparty concentration, Inbound share
Diverges on: Counterparty entropy, Counterparty concentration, Inbound share
96%
similarity
ethereumlowscore 72
0xef1c6e…54bf6b
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Rapid-outflow burstiness, Counterparty entropy, Protocol exposure
Diverges on: Rapid-outflow burstiness, Counterparty entropy, Protocol exposure
96%
similarity
ethereumhighscore 12
0xed6e0a…bad921
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Zero-value transfer ratio, Top inbound source share, Counterparty concentration
Diverges on: Zero-value transfer ratio, Top inbound source share, Counterparty concentration
95%
similarity
ethereumhighscore 1
0x6a1544…0e41ed
Most alike: Mixer exposure, Aggregator 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
95%
similarity
Ethereumhighscore 0
0x4736dc…cfba9d
Most alike: Bridge exposure, Exchange exposure, Aggregator exposure
Diverges on: Mixer exposure, Top inbound source share, Inbound share
Diverges on: Mixer exposure, Top inbound source share, Inbound share
95%
similarity
ethereummediumscore 59
0x89e51f…aa7c40
Most alike: Mixer exposure, Bridge exposure, Aggregator exposure
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
95%
similarity
Ethereummediumscore 53
0x837f6b…b2e90c
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Counterparty concentration, Counterparty entropy, Zero-value transfer ratio
Diverges on: Counterparty concentration, Counterparty entropy, Zero-value transfer ratio
95%
similarity
ethereummediumscore 47
0xa205fd…b3e825
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Rapid-outflow burstiness, Counterparty entropy, Zero-value transfer ratio
Diverges on: Rapid-outflow burstiness, Counterparty entropy, Zero-value transfer ratio
95%
similarity
ethereumlowscore 84
0x464845…e25980
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Inbound share, Zero-value transfer ratio, Counterparty entropy
Diverges on: Inbound share, Zero-value transfer ratio, Counterparty entropy
95%
similarity
ethereumhighscore 12
0x8ac538…4b4bc6
Most alike: Mixer exposure, Bridge exposure, Exchange exposure
Diverges on: Counterparty concentration, Top inbound source share, Counterparty entropy
Diverges on: Counterparty concentration, 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.