BtcTurk Hacker 0xddfa0884f32d0d210597a996060fbdb5b068b0ea Analysis Report
Published
08 Sep 2025
902 views
Wallet Name
0xddfa0884f32d0d210597a996060fbdb5b068b0ea
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Overview
Project Scope
Project Scope: High-Priority Investigation Based on the analysis of wallet 0xddfa0884f32d0d210597a996060fbdb5b068b0ea: Risk Level: Very High Total Issues Found: 47
Suspicious Wallet Hash
0xddfa0884f32d0d210597a996060fbdb5b068b0ea
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Analysis Methodology for Wallet 0xddfa0884f32d0d210597a996060fbdb5b068b0ea
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: 8
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 0xddfa0884f32d0d210597a996060fbdb5b068b0ea
- No transactions found
- Retrieved token transfer history from the blockchain
2. Tag & Label Collection
- Analyzed 8 tagged transactions
- Found 1 unique tag categories
3. Analysis Results Collection
- Processed 8 analysis results
- Risk Score: 41/100 (Standardized: 1, Additional: +40),
- Detected 8 connected addresses
- Detected address list: <QuerySet ['0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea', '0xddfa0884f32d0d210597a996060fbdb5b068b0ea']>
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 8 unusual user behaviors. Identified 8 trend anomalies. Discovered 7 time-based irregularities. Found 8 rapid multi-hop layering patterns. Discovered 8 coordinated wallet clusters. Located 8 suspicious transactions.
Overall Risk Assessment: Very High
Risk Level Analysis:
The wallet has been classified as VERY HIGH RISK with a risk score of 41/100 (Base: 1, Additional: +40) based on the following specific findings:
- SEREVE: 8 rapid multi-hop layering patterns detected
Other Findings: - 8 unusual user behaviors detected, - 8 coordinated wallet clusters detected, - 8 trend anomalies detected, - 7 time-based irregularities detected, - 8 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.
0xf3aceadc58a864cff484f87601c39257a989ab35f7ec930ca13fe0cecdbef0f0: Very short time between transactions
0x0cab909107aa77774323bd71019d468e79290be3ebc99f30643173e76b46c4a3:
0xd8ead5a35e1e578b90c1fa3c431e45f1d646f71b101a319d55cfa0e0a765a2e2: Very short time between transactions
0x6c0f034ba82b36a8c25ef2cd59d9aafb557aec59944a035a1185cf637a3df020: Very short time between transactions
0x80410a4406a2d4f2b3abe77ebb3c81cb86c28e51ace974093ba5faec61edc245: Very short time between transactions
0x31c8e5b421b1c25ab02d6cc160319975ec645150d5dec812e984b4ec198dcbc0: Very short time between transactions
0x59e73b6da93cd2a17f34dd7cbc7ebcfe3f3b58613081d19b84bcd1525fa0a0ef: Very short time between transactions
0xc9e7d29822a5a8a6dcddfce8b4b61a6878b1c6e49c0b053e06bf76cd91dec9cd: Very short time between transactions
0xf3aceadc58a864cff484f87601c39257a989ab35f7ec930ca13fe0cecdbef0f0:
0x0cab909107aa77774323bd71019d468e79290be3ebc99f30643173e76b46c4a3:
0xd8ead5a35e1e578b90c1fa3c431e45f1d646f71b101a319d55cfa0e0a765a2e2:
0x6c0f034ba82b36a8c25ef2cd59d9aafb557aec59944a035a1185cf637a3df020:
0x80410a4406a2d4f2b3abe77ebb3c81cb86c28e51ace974093ba5faec61edc245:
0x31c8e5b421b1c25ab02d6cc160319975ec645150d5dec812e984b4ec198dcbc0:
0x59e73b6da93cd2a17f34dd7cbc7ebcfe3f3b58613081d19b84bcd1525fa0a0ef:
0xc9e7d29822a5a8a6dcddfce8b4b61a6878b1c6e49c0b053e06bf76cd91dec9cd:
0xf3aceadc58a864cff484f87601c39257a989ab35f7ec930ca13fe0cecdbef0f0: High frequency transactions (less than 1 minute interval)
0xd8ead5a35e1e578b90c1fa3c431e45f1d646f71b101a319d55cfa0e0a765a2e2: High frequency transactions (less than 1 minute interval)
0x6c0f034ba82b36a8c25ef2cd59d9aafb557aec59944a035a1185cf637a3df020: High frequency transactions (less than 1 minute interval)
0x80410a4406a2d4f2b3abe77ebb3c81cb86c28e51ace974093ba5faec61edc245: High frequency transactions (less than 1 minute interval)
0x31c8e5b421b1c25ab02d6cc160319975ec645150d5dec812e984b4ec198dcbc0: High frequency transactions (less than 1 minute interval)
0x59e73b6da93cd2a17f34dd7cbc7ebcfe3f3b58613081d19b84bcd1525fa0a0ef: High frequency transactions (less than 1 minute interval)
0xc9e7d29822a5a8a6dcddfce8b4b61a6878b1c6e49c0b053e06bf76cd91dec9cd: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
8
Average Risk Score
78.25
Top Tags
Btcturk Hacker (8)
Unusual Pattern (7)
Suspicious (6)
Anomalous Activity (4)
High Volume (3)
Rapid Movement (2)
Arbitrage (2)
High Risk (2)
Whale Movement (2)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xf3acead…
|
85
High
|
Connected to target address at distance 1
Anomaly detected by Isolation Forest
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly higher than average
Related to 102 high-risk transactions (highest score: 85)
Large transaction amount
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Multiple round number transactions
|
Whale Movement
High Risk
High Volume
Unusual Pattern
Anomalous Activity
Btcturk Hacker
Suspicious
|
0x0cab909…
|
48
High
|
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Part of suspicious wallet community
Related to 102 high-risk transactions (highest score: 85)
Transaction amount significantly higher than average
Low transaction fee
Large transaction amount
|
High Risk
High Volume
Anomalous Activity
Btcturk Hacker
Whale Movement
Unusual Pattern
|
0xd8ead5a…
|
85
High
|
Connected to target address at distance 1
Short time frame between transactions
Part of suspicious wallet community
Very short time between transactions
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
Unusual Pattern
Suspicious
Btcturk Hacker
|
0x6c0f034…
|
85
High
|
Connected to target address at distance 1
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Short time frame between transactions
Part of suspicious wallet community
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
Related to 17 high-risk transactions (highest score: 100)
|
Unusual Pattern
Suspicious
Rapid Movement
Arbitrage
Btcturk Hacker
|
0x80410a4…
|
85
High
|
Connected to target address at distance 1
Short time frame between transactions
Transaction amount doubled compared to previous transaction
Part of suspicious wallet community
Very short time between transactions
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Transaction amount significantly lower than average
|
Unusual Pattern
Suspicious
Btcturk Hacker
|
0x31c8e5b…
|
85
High
|
Connected to target address at distance 1
Repetitive transaction amount
Short time frame between transactions
Part of suspicious wallet community
Low transaction fee
Very short time between transactions
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Transaction amount significantly lower than average
Multiple round number transactions
|
Unusual Pattern
Anomalous Activity
Suspicious
Btcturk Hacker
|
0x59e73b6…
|
85
High
|
Connected to target address at distance 1
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Repetitive transaction amount
Short time frame between transactions
Part of suspicious wallet community
Low transaction fee
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Transaction amount significantly lower than average
Multiple round number transactions
|
Unusual Pattern
Anomalous Activity
Suspicious
Rapid Movement
Arbitrage
Btcturk Hacker
|
0xc9e7d29…
|
85
High
|
Connected to target address at distance 1
Part of suspicious wallet community
Low transaction fee
Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
Multiple round number transactions
|
High Volume
Btcturk Hacker
|
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.
0xf3aceadc58a864cff484f87601c39257a989ab35f7ec930ca13fe0cecdbef0f0: Rapid multi-hop layering pattern detected
0x0cab909107aa77774323bd71019d468e79290be3ebc99f30643173e76b46c4a3: Rapid multi-hop layering pattern detected
0xd8ead5a35e1e578b90c1fa3c431e45f1d646f71b101a319d55cfa0e0a765a2e2: Rapid multi-hop layering pattern detected
0x6c0f034ba82b36a8c25ef2cd59d9aafb557aec59944a035a1185cf637a3df020: Rapid multi-hop layering pattern detected
0x80410a4406a2d4f2b3abe77ebb3c81cb86c28e51ace974093ba5faec61edc245: Rapid multi-hop layering pattern detected
0x31c8e5b421b1c25ab02d6cc160319975ec645150d5dec812e984b4ec198dcbc0: Rapid multi-hop layering pattern detected
0x59e73b6da93cd2a17f34dd7cbc7ebcfe3f3b58613081d19b84bcd1525fa0a0ef: Rapid multi-hop layering pattern detected
0xc9e7d29822a5a8a6dcddfce8b4b61a6878b1c6e49c0b053e06bf76cd91dec9cd: Rapid multi-hop layering pattern detected
0xf3aceadc58a864cff484f87601c39257a989ab35f7ec930ca13fe0cecdbef0f0: Part of coordinated wallet cluster
0x0cab909107aa77774323bd71019d468e79290be3ebc99f30643173e76b46c4a3: Part of coordinated wallet cluster
0xd8ead5a35e1e578b90c1fa3c431e45f1d646f71b101a319d55cfa0e0a765a2e2: Part of coordinated wallet cluster
0x6c0f034ba82b36a8c25ef2cd59d9aafb557aec59944a035a1185cf637a3df020: Part of coordinated wallet cluster
0x80410a4406a2d4f2b3abe77ebb3c81cb86c28e51ace974093ba5faec61edc245: Part of coordinated wallet cluster
0x31c8e5b421b1c25ab02d6cc160319975ec645150d5dec812e984b4ec198dcbc0: Part of coordinated wallet cluster
0x59e73b6da93cd2a17f34dd7cbc7ebcfe3f3b58613081d19b84bcd1525fa0a0ef: Part of coordinated wallet cluster
0xc9e7d29822a5a8a6dcddfce8b4b61a6878b1c6e49c0b053e06bf76cd91dec9cd: 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: 8 transactions
- Unusual Patterns: 0 cases identified
Temporal Analysis:
- Sudden Balance Changes:
- Transaction Frequency:
• Daily: 8 transactions
• Weekly: 8 transactions
Network Metrics:
- Risk Connections: 0 identified
- Flagged Interactions: 0 detected
Advanced Detection:
- Local Outlier Anomalies: 0 detected
- Suspicious Communities: 0 identified
- Layering Patterns: 8 found
- Coordinated Clusters: 8 observed
- Sanctioned Address Links: 0 discovered
Risk Assessment:
- Overall Risk Score: 80.38
- High Risk Activities: 8 instances
Conclusions & Recommendations
Conclusions
Based on our comprehensive analysis of wallet 0xddfa0884f32d0d210597a996060fbdb5b068b0ea, we have reached the following key conclusions:
1. Risk Assessment Overview
- Overall Risk Score: 80.38/1.00
- 8 High Risk Activities Identified
- 0 Suspicious Network Connections
2. Transaction Pattern Analysis
- Detected 0 instances of potential mixing service usage
- Identified 8 high-value transfers requiring attention
- Observed 0 unusual transaction patterns
3. Temporal Behavior
- Daily Transaction Volume: 8 transactions
- Weekly Transaction Volume: 8 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
- 8 layering patterns potentially obscuring transaction origins
- 8 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 0xddfa0884f32d0d210597a996060fbdb5b068b0ea, 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: Daily monitoring recommended due to high risk factors
- Scope: Focus on Connected to target address at distance 1, Anomaly detected by Isolation Forest, Equal amount mixing pattern: 6 transactions of ~0.00000100 within 5.6 hours 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
100
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
September 08, 2025
Views
902
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