Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xd2b9...79b7
Published
15 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xd2b9...79b7
Overview
Project Scope
Analysis of wallet 0xd2b95d9e895d8519c71385d5155664a52fb879b7 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xd2b95d9e895d8519c71385d5155664a52fb879b7
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xd2b95d9e895d8519c71385d5155664a52fb879b7
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 0xd2b95d9e895d8519c71385d5155664a52fb879b7
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 0xd2b95d9e895d8519c71385d5155664a52fb879b7
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 35 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 35 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.
0x60620dd39647be520830564e51bb1bbc2efec2ed4821ed94f571fb95e33eb5bb: Very short time between transactions
0x7df3cada9b1b8eff9cb03ea4d73c9c53503a2d4524f51fde0af08eee9d02bd0d: Very short time between transactions
0x06a0caf121aaa46580da77830d188f20e2ae54a6e5c6edf7f4e142b7544a8604: Very short time between transactions
0xeee349943577b35fcd490000b7bb8904623e0948de95cfdafe9ba7aada53f9af: Very short time between transactions
0x001e6597ae92be383371eb5df904d4e95f1e7cb31adf2abea6204b4e4529043e: Very short time between transactions
0x8421d986307cfa9629c22fcd7d224a61b337bdff412b83af2bbd6cd3615622f6: Very short time between transactions
0xfedf34edc3659cfb9978e29d96f9bede2a115201bb9a81600834e33767194a29: Very short time between transactions
0x9b250898391e66ceaeea453dfca0cbd23a6cf6335abf40352ab13bd08ae8e268: Very short time between transactions
0x60620dd39647be520830564e51bb1bbc2efec2ed4821ed94f571fb95e33eb5bb: Transaction amount significantly higher than average
0x4115c7524fdd12d1427966de6a55972298d7e4b0625dc5c18bc1ec1b206307f8: Transaction amount halved compared to previous transaction
0x60620dd39647be520830564e51bb1bbc2efec2ed4821ed94f571fb95e33eb5bb: High frequency transactions (less than 1 minute interval)
0x7df3cada9b1b8eff9cb03ea4d73c9c53503a2d4524f51fde0af08eee9d02bd0d: High frequency transactions (less than 1 minute interval)
0x06a0caf121aaa46580da77830d188f20e2ae54a6e5c6edf7f4e142b7544a8604: High frequency transactions (less than 1 minute interval)
0xeee349943577b35fcd490000b7bb8904623e0948de95cfdafe9ba7aada53f9af: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x001e6597ae92be383371eb5df904d4e95f1e7cb31adf2abea6204b4e4529043e: High frequency transactions (less than 1 minute interval)
0x8421d986307cfa9629c22fcd7d224a61b337bdff412b83af2bbd6cd3615622f6: High frequency transactions (less than 1 minute interval)
0xfedf34edc3659cfb9978e29d96f9bede2a115201bb9a81600834e33767194a29: High frequency transactions (less than 1 minute interval)
0x9b250898391e66ceaeea453dfca0cbd23a6cf6335abf40352ab13bd08ae8e268: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x60620dd…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Receives funds from exploit address: 0x8a4f03...
Related to 18 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 59
|
0x4115c75…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x06a0caf…
|
39
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x001e659…
|
53
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x7df3cad…
|
44
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
0xeee3499…
|
44
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
0x8421d98…
|
34
Medium
|
Short time frame between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
0xfedf34e…
|
32
Medium
|
Repetitive transaction amount
Short time frame between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0x9b25089…
|
32
Medium
|
Repetitive transaction amount
Short time frame between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
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 0xd2b95d9e895d8519c71385d5155664a52fb879b7:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 47.22
- 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: 2025-07-15 20:28:45 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 15, 2025
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