Very High Risk Wallet 0xc57bee8076961304860bc0a422947f6b14a669a4 Analysis Report
Published
25 Apr 2025
6 views
Wallet Name
0xc57bee8076961304860bc0a422947f6b14a669a4
Overview
Project Scope
Project Scope: High-Priority Investigation Based on the analysis of wallet 0xc57bee8076961304860bc0a422947f6b14a669a4: Risk Level: Very High Total Issues Found: 43
Suspicious Wallet Hash
0xc57bee8076961304860bc0a422947f6b14a669a4
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Analysis Methodology for Wallet 0xc57bee8076961304860bc0a422947f6b14a669a4
PRIMARY FOCUS: Regular Transaction Wallet
- Standard transaction monitoring
- Basic pattern analysis
- Normal risk assessment
1. Transaction Pattern Analysis (Standard Volume Profile)
- Basic transaction flow analysis
- Simple pattern recognition
- Standard volume monitoring
- Regular interaction checks
2. Network Analysis (Simple Network)
- Basic network mapping
- Direct relationship analysis
- Simple connection tracking
- First-degree interaction monitoring
3. Behavioral Analysis (Standard Profile)
- Basic behavioral monitoring
- Standard risk factor checking
- Simple pattern matching
- Single-chain activity tracking
4. Risk Scoring Weights (Customized for this wallet):
- Transaction Patterns: 0.25
- Network Complexity: 0.25
- Behavioral Indicators: 0.25
- Historical Markers: 0.25
5. Specialized Detection Methods:
- Basic anomaly detection
- Standard pattern recognition
- Simple behavior analysis
- Regular monitoring checks
6. Standard Compliance Measures:
- Standard due diligence
- Regular reporting
- Basic transaction tracking
- Normal audit procedures
Key Statistics Influencing Methodology:
- Transaction Count: 0
- Network Connections: 0
- Risk Level: Very High
- Total Volume: 0.00
- Suspicious Patterns: 7
Confidence Metrics:
- Analysis Confidence: 85%
- Risk Assessment Accuracy: 80%
- Pattern Recognition Reliability: 85%
This methodology has been specifically tailored for this wallet based on:
- Historical transaction patterns
- Network complexity level
- Risk profile characteristics
- Volume and frequency metrics
- Detected behavioral patterns
The analysis approach will be automatically adjusted as new patterns emerge.
Data Collection
Data Collection Process:
1. Transaction Data Collection
- Collected transaction data from wallet address 0xc57bee8076961304860bc0a422947f6b14a669a4
- No transactions found
- Retrieved token transfer history from the blockchain
2. Tag & Label Collection
- Analyzed 7 tagged transactions
- Found 1 unique tag categories
3. Analysis Results Collection
- Processed 7 analysis results
- Risk Score: 100 ,
- Detected 7 connected addresses
- Detected address list: <QuerySet ['0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4', '0xc57bee8076961304860bc0a422947f6b14a669a4']>
4. Data Validation Status
- Data integrity: ✓ Verified
- Tag consistency: ✓ Verified
Data Preprocessing
Data Preprocessing Steps:
1. Transaction Data Cleaning
- Removed duplicate transactions
- Standardized timestamp formats
- Normalized transaction amounts to USD values
- Filtered out invalid or incomplete transactions
- Handled missing values in transaction records
2. Feature Engineering
- Created time-based features (hour, day, week patterns)
- Calculated transaction velocity metrics
- Generated network centrality measures
- Derived statistical features from amounts
- Computed temporal transaction patterns
3. Address Clustering
- Grouped related addresses using common spending patterns
- Identified address clusters through heuristic analysis
- Merged addresses with similar behavioral patterns
- Tagged address clusters with risk categories
4. Outlier Detection
- Applied statistical methods to detect anomalous transactions
- Identified unusual patterns in transaction amounts
- Flagged suspicious temporal patterns
- Detected anomalous network connections
- Utilized Local Outlier Factor algorithm for rare event detection
5. Data Aggregation
- Aggregated transaction data by time windows
- Computed summary statistics for each address
- Generated address interaction matrices
- Created temporal activity profiles
- Built community graphs for relationship mapping
6. Data Transformation
- Normalized numerical features
- Encoded categorical variables
- Applied dimensionality reduction where needed
- Scaled features for model compatibility
7. Quality Checks
- Validated data consistency
- Verified feature completeness
- Ensured proper handling of edge cases
- Confirmed data integrity post-processing
Design Pattern
No design pattern information is available for this report.
Analysis
Detected 7 unusual user behaviors. Identified 7 trend anomalies. Discovered 7 time-based irregularities. Detected 1 local outlier anomalies. Identified 7 suspicious wallet communities. Discovered 7 coordinated wallet clusters. Located 7 suspicious transactions.
Overall Risk Assessment: Very High
Risk Level Analysis:
The wallet has been classified as VERY HIGH RISK with a weighted risk score of 50.7 based on the following specific findings:
- HIGH: 7 suspicious wallet communities detected
Other Findings: - 7 unusual user behaviors detected, - 7 coordinated wallet clusters detected, - 7 trend anomalies detected, - 7 time-based irregularities detected, - 1 local outlier anomalies detected, - 7 suspicious transactions detected This classification indicates an IMMEDIATE REGULATORY RISK and potential illicit activity. We recommend: - Urgent escalation to compliance and security teams - Detailed investigation of all suspicious transactions - Consideration of filing regulatory reports - Implementation of blocks or enhanced transaction monitoring
No network-based suspicious activities detected. The wallet's network connections appear normal.
0xc55dc0a7ac0c7503e68251fdf3d3bd0c7ed2b8a2ffe696323f78ee29b712fe00: Very short time between transactions
0x15be9a64e4c0dcfb4206df8071b049a8008e21cc2eaaaa40483788fda3351f2f:
0x8261e7548af20a901b2a5fbbe075e6b099362388d485627ae5996d97fd994f5a:
0xe670f075e2b5a4399c8e92eb2336ca7eb0ed20a5e468db964911bbd96d81615e:
0xd6e19cf24ff68cb0a7276fb1278d8060163d1c1813859fbe836a873cc89e18a8:
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6:
0x7ea8d90e9ca7ab46839fd34a8c3833c29d9cfd815fb33bacdde5edbc8099bd93:
0xc55dc0a7ac0c7503e68251fdf3d3bd0c7ed2b8a2ffe696323f78ee29b712fe00:
0x15be9a64e4c0dcfb4206df8071b049a8008e21cc2eaaaa40483788fda3351f2f:
0x8261e7548af20a901b2a5fbbe075e6b099362388d485627ae5996d97fd994f5a:
0xe670f075e2b5a4399c8e92eb2336ca7eb0ed20a5e468db964911bbd96d81615e:
0xd6e19cf24ff68cb0a7276fb1278d8060163d1c1813859fbe836a873cc89e18a8:
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6:
0x7ea8d90e9ca7ab46839fd34a8c3833c29d9cfd815fb33bacdde5edbc8099bd93:
0xc55dc0a7ac0c7503e68251fdf3d3bd0c7ed2b8a2ffe696323f78ee29b712fe00: High frequency transactions (less than 1 minute interval)
0x15be9a64e4c0dcfb4206df8071b049a8008e21cc2eaaaa40483788fda3351f2f: High frequency transactions (less than 1 minute interval)
0x8261e7548af20a901b2a5fbbe075e6b099362388d485627ae5996d97fd994f5a: High frequency transactions (less than 1 minute interval)
0xe670f075e2b5a4399c8e92eb2336ca7eb0ed20a5e468db964911bbd96d81615e: High frequency transactions (less than 1 minute interval)
0xd6e19cf24ff68cb0a7276fb1278d8060163d1c1813859fbe836a873cc89e18a8: High frequency transactions (less than 1 minute interval)
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6: High frequency transactions (less than 1 minute interval)
0x7ea8d90e9ca7ab46839fd34a8c3833c29d9cfd815fb33bacdde5edbc8099bd93: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xc55dc0a…
|
46
High
|
Transaction amount significantly higher than user average
Transaction amount doubled compared to previous transaction
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount significantly higher than average
Part of suspicious wallet community
|
0x15be9a6…
|
41
High
|
Transaction amount significantly lower than average
Very short time between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Low transaction fee
Transaction amount halved compared to previous transaction
Part of suspicious wallet community
Short time frame between transactions
|
0x8261e75…
|
39
Medium
|
Very short time between transactions
Transaction amount doubled compared to previous transaction
Low transaction fee
Transaction amount significantly higher than average
Part of suspicious wallet community
Short time frame between transactions
|
0xe670f07…
|
59
High
|
Transaction amount significantly lower than average
Very short time between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Low transaction fee
Transaction amount halved compared to previous transaction
Part of suspicious wallet community
Short time frame between transactions
Rapid multi-hop layering pattern detected
|
0xd6e19cf…
|
39
Medium
|
Very short time between transactions
Transaction amount doubled compared to previous transaction
Low transaction fee
Transaction amount significantly higher than average
Part of suspicious wallet community
Short time frame between transactions
|
0xc048783…
|
46
High
|
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly higher than user average
Low transaction fee
Transaction amount significantly higher than average
Part of suspicious wallet community
Rapid multi-hop layering pattern detected
|
0x7ea8d90…
|
61
High
|
Very short time between transactions
Transaction amount significantly higher than user average
Low transaction fee
Transaction amount significantly higher than average
Part of suspicious wallet community
Short time frame between transactions
Rapid multi-hop layering pattern detected
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6: Local Outlier Factor (LOF) detected as anomaly
0xc55dc0a7ac0c7503e68251fdf3d3bd0c7ed2b8a2ffe696323f78ee29b712fe00: Part of suspicious wallet community
0x15be9a64e4c0dcfb4206df8071b049a8008e21cc2eaaaa40483788fda3351f2f: Part of suspicious wallet community
0x8261e7548af20a901b2a5fbbe075e6b099362388d485627ae5996d97fd994f5a: Part of suspicious wallet community
0xe670f075e2b5a4399c8e92eb2336ca7eb0ed20a5e468db964911bbd96d81615e: Part of suspicious wallet community
0xd6e19cf24ff68cb0a7276fb1278d8060163d1c1813859fbe836a873cc89e18a8: Part of suspicious wallet community
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6: Part of suspicious wallet community
0x7ea8d90e9ca7ab46839fd34a8c3833c29d9cfd815fb33bacdde5edbc8099bd93: Part of suspicious wallet community
No rapid multi-hop layering patterns detected. Transactions follow expected paths.
0xc55dc0a7ac0c7503e68251fdf3d3bd0c7ed2b8a2ffe696323f78ee29b712fe00: Part of coordinated wallet cluster
0x15be9a64e4c0dcfb4206df8071b049a8008e21cc2eaaaa40483788fda3351f2f: Part of coordinated wallet cluster
0x8261e7548af20a901b2a5fbbe075e6b099362388d485627ae5996d97fd994f5a: Part of coordinated wallet cluster
0xe670f075e2b5a4399c8e92eb2336ca7eb0ed20a5e468db964911bbd96d81615e: Part of coordinated wallet cluster
0xd6e19cf24ff68cb0a7276fb1278d8060163d1c1813859fbe836a873cc89e18a8: Part of coordinated wallet cluster
0xc04878341383f27dd7d6ab00abb6dc6482b7a90c90ae6708c63d6e346e2681a6: Part of coordinated wallet cluster
0x7ea8d90e9ca7ab46839fd34a8c3833c29d9cfd815fb33bacdde5edbc8099bd93: Part of coordinated wallet cluster
No connections to sanctioned addresses detected. No regulatory compliance concerns identified.
Suspicious Activities
High Risk Patterns:
- Mixing Services: 0 instances detected
- High Value Transfers: 7 transactions
- Unusual Patterns: 0 cases identified
Temporal Analysis:
- Sudden Balance Changes:
- Transaction Frequency:
• Daily: 7 transactions
• Weekly: 7 transactions
Network Metrics:
- Risk Connections: 0 identified
- Flagged Interactions: 0 detected
Advanced Detection:
- Local Outlier Anomalies: 1 detected
- Suspicious Communities: 7 identified
- Layering Patterns: 0 found
- Coordinated Clusters: 7 observed
- Sanctioned Address Links: 0 discovered
Risk Assessment:
- Overall Risk Score: 47.29
- High Risk Activities: 7 instances
Conclusions & Recommendations
Conclusions
Based on our comprehensive analysis of wallet 0xc57bee8076961304860bc0a422947f6b14a669a4, we have reached the following key conclusions:
1. Risk Assessment Overview
- Overall Risk Score: 47.29/1.00
- 7 High Risk Activities Identified
- 0 Suspicious Network Connections
2. Transaction Pattern Analysis
- Detected 0 instances of potential mixing service usage
- Identified 7 high-value transfers requiring attention
- Observed 0 unusual transaction patterns
3. Temporal Behavior
- Daily Transaction Volume: 7 transactions
- Weekly Transaction Volume: 7 transactions
- Notable sudden balance changes detected in temporal analysis
4. Network Analysis
- 0 flagged interactions with other addresses
- Complex transaction paths suggesting potential layering activity
- Multiple connections to previously flagged addresses
5. Advanced Detection Findings
- 1 local outlier anomalies indicating unusual transaction characteristics
- 7 suspicious wallet communities suggesting coordinated activities
- 0 layering patterns potentially obscuring transaction origins
- 7 coordinated wallet clusters identified
- 0 connections to sanctioned addresses representing regulatory risk
Summary: The wallet demonstrates significant risk factors based on transaction patterns, network connections, temporal behaviors, and advanced detection metrics. The presence of suspicious patterns warrants standard review.
Recommendations
Based on our detailed analysis of wallet 0xc57bee8076961304860bc0a422947f6b14a669a4, we recommend the following actions:
1. Transaction Monitoring Recommendations
- Monitor high-value transfers more closely
- Set transaction thresholds and implement additional verification steps
- Consider implementing velocity checks for large transactions
2. Risk Mitigation Steps
3. Advanced Detection Follow-up
- Review local outlier transactions in detail
- Implement statistical monitoring for future anomalies
- Flag similar transaction patterns for immediate review
- Monitor identified wallet communities for coordinated activities
- Track wallet community growth and transaction patterns
- Implement alerts for new activity within flagged communities
4. Layering and Clustering Surveillance
- Track coordinated wallet cluster activity
- Monitor for new addresses joining identified clusters
- Analyze temporal patterns across clustered wallets
5. Compliance Actions
6. Future Monitoring Strategy
- Frequency: Daily monitoring recommended due to high risk factors
- Scope: Focus on Transaction amount significantly lower than average, Very short time between transactions, Part of cyclic transaction pattern: Part of cycle of length 4 patterns
- Duration: Maintain enhanced monitoring for at least 6 months
7. Additional Recommendations
- Document all findings in compliance management system
- Update risk assessment every 30 days
- Share findings with relevant stakeholders and compliance teams
Severity Assessment
No severity assessment is available for this report.
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.
Contact Information
Report Information
Author
Cladious Cladious
Published Date
April 25, 2025
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