Very High Risk Wallet 0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C Analysis Report
Published
22 Mar 2026
3 views
Wallet Name
0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C
Overview
Project Scope
This report assesses the risk profile of Ethereum wallet address 0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C. The primary objective is to identify and evaluate potential AML and fraud risks associated with this wallet. The analysis revealed a 'Very High' risk level, with a final risk score of 100 and a total of 51 issues detected.
Suspicious Wallet Hash
0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
The analysis employed a multi-faceted approach, incorporating network analysis, user behavior profiling, trend analysis, time-series analysis, outlier detection using Local Outlier Factor (LOF), community detection, and layering pattern analysis. The methodology leverages transaction history and behavioral patterns to identify anomalies and potential illicit activities. The analysis summaries provide detailed insights into each area, including network connections, user behavior deviations, transaction trends, temporal patterns, outlier transactions, community affiliations, and layering patterns.
Data Collection
Transaction data for the specified wallet was sourced from a blockchain analytics platform. This platform aggregates and indexes blockchain data from multiple sources, ensuring comprehensive coverage. Data integrity was verified through cryptographic hash verification and cross-referencing with multiple blockchain explorers.
Data Preprocessing
The raw transaction data underwent a preprocessing phase to prepare it for analysis. This included data cleaning to remove inconsistencies and errors, feature engineering to create relevant risk indicators, and data transformation to ensure compatibility with the analytical models. Specific features included transaction frequency, transaction amounts, time intervals between transactions, and network connections.
Design Pattern
No design pattern information is available for this report.
Analysis
The analysis of wallet address 0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C indicates a 'Very High' risk profile, with a final risk score of 100. The standardized risk score is 94, with an additional risk boost of 19. Key risk drivers include frequent transactions occurring within very short time frames, anomalous transaction amounts, and participation in a suspicious wallet community. The Local Outlier Factor (LOF) algorithm also identified several transactions as statistical outliers.
No network-based suspicious activities detected. The wallet's network connections appear normal.
The analysis identified very short time between transactions in 12 instance(s) (0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907 and 9 others). This deviation from standard user behavior could indicate compromised keys or automated activity.
No concerning trends identified. Transaction volumes and patterns are within expected ranges.
Temporal analysis revealed high frequency activity at 10 specific time point(s) (0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907, 0x4a54bb7d2a744fc60c397312a28ca20260fc5b9998a3ba64b3ba60379ba17dc1 and 7 others). Irregular timing can be a sign of scripted bots or coordinated actions across time zones.
Summary
Total Suspicious Transactions
13
Average Risk Score
60.08
Top Tags
High Risk (9)
Mixing Service (8)
Anomalous Activity (2)
Structuring (2)
Unusual Pattern (2)
Rapid Movement (2)
Regulatory Evasion (2)
Suspicious Transactions
| Transaction Hash | Network | Risk Score | Risk Factors | Tags |
|---|---|---|---|---|
0xa9698d5…
|
ethereum |
56
Medium
|
Common spending heuristic triggered
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Related to multiple high-risk transactions
|
High Risk
Anomalous Activity
|
0x963016a…
|
ethereum |
59
Medium
|
Common spending heuristic triggered
Repetitive transaction amount
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Related to multiple high-risk transactions
|
No tags
|
0xb29968a…
|
ethereum |
59
Medium
|
Common spending heuristic triggered
Repetitive transaction amount
Transaction amount doubled compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Related to multiple high-risk transactions
|
No tags
|
0x725d86d…
|
ethereum |
60
Medium
|
Short time frame between transactions
Very short time between transactions
Transaction amount doubled compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Related to multiple high-risk transactions
|
No tags
|
0x709b775…
|
ethereum |
50
Medium
|
Low transaction fee
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Related to multiple high-risk transactions
|
No tags
|
0x879e3e9…
|
ethereum |
52
Medium
|
Common spending heuristic triggered
Short time frame between transactions
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than historical average
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0x05af21e…
|
ethereum |
75
High
|
Common spending heuristic triggered
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than historical average
High frequency activity
Equal amount mixing pattern
Timing correlation detected
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0x823c547…
|
ethereum |
60
Medium
|
Very short time between transactions
Transaction amount significantly lower than historical average
High frequency activity
Equal amount mixing pattern
Timing correlation detected
Related to multiple high-risk transactions
|
Structuring
High Risk
Unusual Pattern
Rapid Movement
Mixing Service
Regulatory Evasion
|
0xfb5848b…
|
ethereum |
56
Medium
|
Common spending heuristic triggered
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Related to multiple high-risk transactions
|
High Risk
Anomalous Activity
Mixing Service
|
0x3e4fdb7…
|
ethereum |
52
Medium
|
Common spending heuristic triggered
Short time frame between transactions
Low transaction fee
Very short time between transactions
Transaction amount doubled compared to previous
Transaction amount significantly higher than historical average
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0x4a54bb7…
|
ethereum |
72
High
|
Common spending heuristic triggered
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0xe2b0ba1…
|
ethereum |
70
High
|
Common spending heuristic triggered
Transaction amount halved compared to previous
Transaction amount significantly lower than historical average
Local Outlier Factor (LOF) detected as anomaly
Equal amount mixing pattern
Timing correlation detected
Related to multiple high-risk transactions
|
High Risk
Mixing Service
|
0x5dac1f1…
|
ethereum |
60
Medium
|
Very short time between transactions
Transaction amount significantly lower than historical average
High frequency activity
Equal amount mixing pattern
Timing correlation detected
Related to multiple high-risk transactions
|
Structuring
High Risk
Unusual Pattern
Rapid Movement
Mixing Service
Regulatory Evasion
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
Our Local Outlier Factor (LOF) algorithm flagged 3 transaction(s) as statistical outliers due to local outlier factor (lof) detected as anomaly (0x5dac1f15d01d4fc1dbb2608df257270c574a926179af4a69a8bef4fd21730668, 0xa9698d504e9b5507d0c41abfcc2ecccb0fc17f182516b45418fb14b7f4926860, 0x963016a7d9e028f68d29f8f5bd082366884630dd2157b35fa61e0ecf13e2290f). These transactions deviate significantly from the wallet's historical norm.
Community detection algorithms placed this wallet in a cluster exhibiting part of suspicious wallet community. This involves 13 related transaction(s) (0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938, 0x3e4fdb75661d76fa980b0d4d9c51b740e3f4e18c0b292a174412e1e0a102e907 and 10 others) and suggests participation in a coordinated group.
No rapid multi-hop layering patterns detected. Transactions follow expected paths.
No coordinated wallet clusters identified. The wallet appears to operate independently.
No connections to sanctioned addresses detected. No regulatory compliance concerns identified.
Suspicious Activities
Several suspicious activity patterns were identified. A notable pattern is the prevalence of 'Very short time between transactions,' observed in multiple transactions, including 0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938 and others. Many transactions also exhibit amounts significantly lower than the historical average. Furthermore, the wallet is associated with a suspicious wallet community, involving transactions such as 0xfb5848bab53f5761bdeb490e22622116ee665406e2d3464935eae74a8a7bdcc1, 0x879e3e915795adc0798106a55885fe92c803e2a248635b07c286cc35c9cca938 and others. Transactions 0x5dac1f15d01d4fc1dbb2608df257270c574a926179af4a69a8bef4fd21730668, 0xa9698d504e9b5507d0c41abfcc2ecccb0fc17f182516b45418fb14b7f4926860, and 0x963016a7d9e028f68d29f8f5bd082366884630dd2157b35fa61e0ecf13e2290f were flagged by the Local Outlier Factor (LOF) algorithm.
Conclusions & Recommendations
Conclusions
Based on the analysis, wallet address 0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C presents a 'Very High' risk for potential AML and fraud concerns. The high risk score (100), coupled with the identified suspicious activities, warrants further investigation and potential regulatory action.
Recommendations
It is recommended to conduct an enhanced due diligence review of wallet address 0x8ED8cF0C1c531C1b20848E78f1CB32fa5B99b81C. This should include tracing the flow of funds to and from the wallet, identifying the beneficial owner, and assessing the legitimacy of the wallet's activities. Consider implementing transaction monitoring rules to flag similar activity patterns in the future. Depending on the outcome of the enhanced due diligence, consider filing a Suspicious Activity Report (SAR) with the appropriate regulatory authorities.
Severity Assessment
100 (Very High)
Appendices & References
Appendices
Appendix A: Transaction Analysis Details
- Include detailed transaction logs
- Add blockchain explorer screenshots
- Attach any relevant wallet analysis reports
Appendix B: Supporting Documentation
- Include copies of any referenced regulations or guidelines
- Add relevant policy documents
- Attach any correspondence related to the investigation
Appendix C: Technical Analysis
- Include network graphs and visualizations
- Add statistical analysis results
- Attach raw data exports if relevant
Appendix D: Advanced Detection Results
- Include Local Outlier Factor (LOF) analysis outputs
- Add community detection visualizations
- Include layering pattern diagrams
- Attach address clustering results
- Include sanctioned address check reports
Note: Please organize appendices clearly with proper labeling and references. Include any additional materials that support your findings and recommendations.
References
Please include relevant references from the following categories:
1. Blockchain Analysis Tools & Resources
- Links to relevant blockchain explorers used
- API documentation references
- Analysis platform documentation
2. Regulatory & Compliance Documents
- Applicable regulatory guidelines
- AML/CFT frameworks
- Industry compliance standards
- Sanctioned address lists and sources
3. Technical Documentation
- Blockchain analysis methodology references
- Transaction tracing documentation
- Network analysis frameworks
- Anomaly detection algorithms and implementations
4. Internal Resources
- Previous related analysis reports
- Company policies and procedures
- Internal risk assessment guidelines
5. Supporting Materials
- Relevant case studies
- Industry reports and whitepapers
- Expert consultations
- Academic research on detection methods
Note: For each reference, include full citation with date accessed and version/publication info where applicable.
Report Information
Author
Batuhan Aydın
Published Date
March 22, 2026
Views
3
Likes
0