Very Low Risk Wallet 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b Analysis Report
Published
03 Nov 2025
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Wallet Name
0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b
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Overview
Project Scope
Project Scope: Quick Review Based on the analysis of wallet 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b: Risk Level: Very Low Total Issues Found: 19
Suspicious Wallet Hash
0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Analysis Methodology for Wallet 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b
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 Low
- Total Volume: 0.00
- Suspicious Patterns: 4
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 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b
- No transactions found
- Retrieved token transfer history from the blockchain
2. Tag & Label Collection
- Analyzed 4 tagged transactions
- Found 1 unique tag categories
3. Analysis Results Collection
- Processed 4 analysis results
- Risk Score: 11/100 (Standardized: 1, Additional: +10),
- Detected 2 connected addresses
- Detected address list: <QuerySet ['0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b', '0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b']>
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 4 unusual user behaviors. Identified 4 trend anomalies. Discovered 3 time-based irregularities. Found 2 rapid multi-hop layering patterns. Discovered 2 coordinated wallet clusters. Located 4 suspicious transactions.
Overall Risk Assessment: Very Low
Risk Level Analysis:
The wallet has been classified as VERY LOW RISK with a risk score of 11/100 (Base: 1, Additional: +10).
No significant suspicious patterns or behaviors were detected. The wallet demonstrates typical transaction patterns and network connections consistent with legitimate activity.
This classification indicates NO CURRENT CONCERNS. Standard monitoring procedures are sufficient.
No network-based suspicious activities detected. The wallet's network connections appear normal.
0x077e78e38cee1bcecb079025c52457667dcf31801756a5a9764b5c1778093720: Very short time between transactions
0x6caf02fe6632d121a5c1b380e2f48e451189472779f509a56c2c1c6c0f8535aa: Very short time between transactions
0x6caf02fe6632d121a:
0x077e78e38cee1bcec: Very short time between transactions
0x077e78e38cee1bcecb079025c52457667dcf31801756a5a9764b5c1778093720:
0x6caf02fe6632d121a5c1b380e2f48e451189472779f509a56c2c1c6c0f8535aa: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0x6caf02fe6632d121a: Transaction amount significantly lower than average
0x077e78e38cee1bcec: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x077e78e38cee1bcecb079025c52457667dcf31801756a5a9764b5c1778093720: High frequency transactions (less than 1 minute interval)
0x6caf02fe6632d121a5c1b380e2f48e451189472779f509a56c2c1c6c0f8535aa: High frequency transactions (less than 1 minute interval)
0x077e78e38cee1bcec: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
4
Average Risk Score
31.75
Top Tags
Layering (4)
Lazarus Group (2)
High Risk (2)
Money Laundering (2)
Suspicious (1)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x6caf02f…
|
0
Low
|
|
Lazarus Group
|
0x077e78e…
|
0
Low
|
|
Lazarus Group
|
0x077e78e…
|
62
High
|
High frequency transactions (less than 1 minute interval)
Part of suspicious wallet community
Potential stealth address usage detected
Rapid multi-hop layering pattern detected
Very short time between transactions
Low transaction fee
|
Layering
Layering
High Risk
Money Laundering
Suspicious
|
0x6caf02f…
|
65
High
|
Standard mixer amount detected
Part of suspicious wallet community
Rapid multi-hop layering pattern detected
Round amount consistent with mixer
Short time frame between transactions
Low transaction fee
|
Layering
Layering
High Risk
Money Laundering
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
No local outlier anomalies detected. All transactions appear statistically normal.
No suspicious wallet communities detected. The wallet does not appear to be part of a coordinated network.
0x077e78e38cee1bcecb079025c52457667dcf31801756a5a9764b5c1778093720: Rapid multi-hop layering pattern detected
0x6caf02fe6632d121a5c1b380e2f48e451189472779f509a56c2c1c6c0f8535aa: Rapid multi-hop layering pattern detected
0x077e78e38cee1bcecb079025c52457667dcf31801756a5a9764b5c1778093720: Part of coordinated wallet cluster
0x6caf02fe6632d121a5c1b380e2f48e451189472779f509a56c2c1c6c0f8535aa: 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: 2 transactions
- Unusual Patterns: 0 cases identified
Temporal Analysis:
- Sudden Balance Changes:
- Transaction Frequency:
• Daily: 4 transactions
• Weekly: 4 transactions
Network Metrics:
- Risk Connections: 0 identified
- Flagged Interactions: 0 detected
Advanced Detection:
- Local Outlier Anomalies: 0 detected
- Suspicious Communities: 0 identified
- Layering Patterns: 2 found
- Coordinated Clusters: 2 observed
- Sanctioned Address Links: 0 discovered
Risk Assessment:
- Overall Risk Score: 31.75
- High Risk Activities: 2 instances
Conclusions & Recommendations
Conclusions
Based on our comprehensive analysis of wallet 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b, we have reached the following key conclusions:
1. Risk Assessment Overview
- Overall Risk Score: 31.75/1.00
- 2 High Risk Activities Identified
- 0 Suspicious Network Connections
2. Transaction Pattern Analysis
- Detected 0 instances of potential mixing service usage
- Identified 2 high-value transfers requiring attention
- Observed 0 unusual transaction patterns
3. Temporal Behavior
- Daily Transaction Volume: 4 transactions
- Weekly Transaction Volume: 4 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
- 0 local outlier anomalies indicating unusual transaction characteristics
- 0 suspicious wallet communities suggesting coordinated activities
- 2 layering patterns potentially obscuring transaction origins
- 2 coordinated wallet clusters identified
- 0 connections to sanctioned addresses representing regulatory risk
Summary: The wallet demonstrates moderate 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 0xFdaD96a81D359CeA0c5FA2ab176F885d5a76968b, 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
4. Layering and Clustering Surveillance
- Monitor detected layering patterns closely
- Implement hop analysis for multi-stage transactions
- Set alerts for rapid multi-hop transaction sequences
- 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: Weekly monitoring should be sufficient based on current risk assessment
- Scope: Focus on High frequency transactions (less than 1 minute interval), Standard mixer amount detected, 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
11
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
Batuhan Aydın
Published Date
November 03, 2025
Views
4
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