Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x10c6...7d95
Published
13 Jul 2025
8 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x10c6...7d95
Overview
Project Scope
Analysis of wallet 0x10c66c41c270c55fe1f3710a41624708c0467d95 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x10c66c41c270c55fe1f3710a41624708c0467d95
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x10c66c41c270c55fe1f3710a41624708c0467d95
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 9 detection methods
- Statistical anomaly detection
- Behavioral pattern analysis
- Network-based risk assessment
3. Risk Scoring
- Weighted risk factor calculation
- Multi-dimensional analysis
- Historical comparison baseline
- Real-time pattern detection
4. Report Generation
- Automated findings compilation
- Risk level determination
- Recommendation synthesis
- Compliance-ready documentation
Data Collection
Data Collection Process for 0x10c66c41c270c55fe1f3710a41624708c0467d95
1. Blockchain Data Retrieval
- Retrieved 9 analysis data points
- Collected complete transaction history
- Gathered network connection data
2. Analysis Processing
- Applied multiple detection algorithms
- Performed statistical analysis
- Generated risk indicators
- Created behavioral profiles
3. Quality Assurance
- Data validation checks
- Algorithm consistency verification
- Result accuracy confirmation
Data Preprocessing
Data Preprocessing Steps:
1. Data Cleaning
- Removed duplicate transactions
- Standardized timestamp formats
- Validated transaction data integrity
2. Feature Engineering
- Created time-based features
- Calculated statistical metrics
- Generated network features
3. Normalization
- Applied consistent scaling
- Handled missing values
- Optimized for analysis algorithms
Design Pattern
No design pattern information is available for this report.
Analysis
General Analysis Summary for 0x10c66c41c270c55fe1f3710a41624708c0467d95
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 33 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 33 total suspicious patterns identified across all algorithms - Standardized risk score: 100/100
Analysis Confidence: High (automated multi-algorithm approach) Recommendation: Immediate investigation required
No suspicious patterns detected.
0x99cb237f3367607d782d4034a6a36a4bdd254e4f9e6994c606d3b32bfb2aff37: Very short time between transactions
0x5271ba533f3cae2f1869d89c8d1b4cfed11dcde758f059658b682760163fe283: Very short time between transactions
0x2f13c05bebc53d394718861a668c74cd805d1d3dbfcb92640679a9557d573bb6: Very short time between transactions
0x4c8f6041a3a4835e3f1d7a12ae599656656bb1eb5bddf9a044ed01172c18021f: Very short time between transactions
0x15d30f20ac41255a9ad0852d21d706ad206aa938d2ff91c2adc1656f7c718560: Very short time between transactions
0xf43be587ddd2abbe5f41e10ce86a7e92a8c343085f6f1f4152f25689d540a853: Very short time between transactions
0xc2dc41ca654515a77a81d6c1303d0df2933431f9436ca814564f9461dd68d799: Very short time between transactions
0xaef534b3fea760e300ee6acf5b9006e71b0444c464ae88bce1a387dd6e218092: Transaction amount significantly lower than average
0x99cb237f3367607d782d4034a6a36a4bdd254e4f9e6994c606d3b32bfb2aff37: High frequency transactions (less than 1 minute interval)
0x5271ba533f3cae2f1869d89c8d1b4cfed11dcde758f059658b682760163fe283: High frequency transactions (less than 1 minute interval)
0xaef534b3fea760e300ee6acf5b9006e71b0444c464ae88bce1a387dd6e218092: Regular interval transactions between the same wallets
0x15d30f20ac41255a9ad0852d21d706ad206aa938d2ff91c2adc1656f7c718560: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xf43be587ddd2abbe5f41e10ce86a7e92a8c343085f6f1f4152f25689d540a853: High frequency transactions (less than 1 minute interval)
0xc2dc41ca654515a77a81d6c1303d0df2933431f9436ca814564f9461dd68d799: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x2f13c05…
|
71
High
|
Large transaction amount
Round amount consistent with mixer
Low transaction fee
Standard mixer amount detected
Outgoing structuring detected: 4 similar amounts totaling 414.87
Very short time between transactions
Transaction amount halved compared to previous transaction
|
0x5271ba5…
|
100
High
|
Transaction amount significantly higher than average
Receives funds from exploit address: 0x96244d...
Anomaly detected by Isolation Forest
Large transaction amount
Related to high-risk transaction ['0x4c1e740476774d9158f97ef4719bb8f53b78d229839b87c9e2bce1f0541b4352'] (score: 79)
Transaction involves DeFi exploit address: Bybit Exploiter 32
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
0x4c8f604…
|
66
High
|
Short time frame between transactions
Outgoing structuring detected: 3 similar amounts totaling 314.87
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 414.87
Rapid accumulation of large transactions
Very short time between transactions
|
0xaef534b…
|
29
Medium
|
Short time frame between transactions
Outgoing structuring detected: 3 similar amounts totaling 314.87
Large transaction amount
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 414.87
Very short time between transactions
|
0xd8adf4c…
|
56
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0xf43be58…
|
54
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
0x15d30f2…
|
79
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Outgoing structuring detected: 3 similar amounts totaling 314.87
Large transaction amount
Round amount consistent with mixer
Low transaction fee
Standard mixer amount detected
Outgoing structuring detected: 4 similar amounts totaling 414.87
Very short time between transactions
Transaction amount halved compared to previous transaction
|
0xc2dc41c…
|
60
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0x99cb237…
|
100
High
|
Transaction amount significantly higher than average
Receives funds from exploit address: 0x96244d...
Anomaly detected by Isolation Forest
Large transaction amount
Related to high-risk transaction ['0x4c1e740476774d9158f97ef4719bb8f53b78d229839b87c9e2bce1f0541b4352'] (score: 79)
Transaction involves DeFi exploit address: Bybit Exploiter 32
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
|
Showing 1 to 10 of 0 transactions
Advanced Analysis Findings
No Local Outlier Factor analysis data is available for this report.
No wallet community detection data is available for this report.
No transaction layering pattern data is available for this report.
No address clustering data is available for this report.
No sanctioned address connection data is available for this report.
Suspicious Activities
Suspicious Activities Summary:
High Risk Activities: 9
Medium Risk Activities: 0
Total Flagged Transactions: 9
Pattern Categories:
- Network-based anomalies
- Behavioral inconsistencies
- Statistical outliers
- Temporal irregularities
Automated Detection Results:
- Algorithm coverage: Comprehensive
- Detection confidence: High
- Risk classification: Validated
Conclusions & Recommendations
Conclusions
Analysis Conclusions for 0x10c66c41c270c55fe1f3710a41624708c0467d95:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 68.33
- Total Suspicious Patterns: 9
2. Key Findings
- Automated analysis completed successfully
- Multiple detection algorithms applied
- Comprehensive risk evaluation performed
- Standardized scoring methodology applied (score: 100/100)
3. Confidence Level
- Analysis Quality: High
- Data Coverage: Complete
- Algorithm Performance: Validated
4. Summary
The automated analysis has identified significant concerns.
Immediate action recommended.
Recommendations
Immediate Action Recommendations:
1. Priority Actions
- Escalate to compliance team immediately
- Implement enhanced monitoring
- Consider transaction restrictions
- Document all findings
2. Investigation Requirements
- Detailed transaction review required
- Source of funds investigation
- Enhanced due diligence protocols
- Regular monitoring updates
3. Compliance Measures
- File suspicious activity reports if required
- Implement know-your-customer procedures
- Apply enhanced monitoring protocols
- Document risk mitigation measures
Severity Assessment
Very High
Appendices & References
Appendices
Appendix A: Automated Analysis Results
Appendix B: Algorithm Details and Methodology
Appendix C: Risk Assessment Matrix
Appendix D: Transaction Pattern Analysis
Appendix E: Network Connection Analysis
Appendix F: Case Reference Documentation - CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001
Appendix G: Investigation Team Notes - Cladious Forensics Team
References
1. Blockchain Analysis Framework - Cladious Platform
2. Risk Assessment Guidelines - Financial Action Task Force (FATF)
3. Automated Analysis Documentation - Internal Methodology
Contact Information
Primary Analyst: Cladious Auto
Email: [email protected]
Generated: 2025-07-13 22:27:14 UTC
Investigation Team: Cladious Forensics Team
Case Reference: CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001
Platform: Cladious Security Analysis Platform
For questions or additional analysis requests, please contact the investigation team.
This report contains confidential information and should be handled according to your organization's data protection policies.
Report Information
Author
Cladious Auto
Published Date
July 13, 2025
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