Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcf4b...8bf4
Published
15 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcf4b...8bf4
Overview
Project Scope
Analysis of wallet 0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 10 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 0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4
1. Blockchain Data Retrieval
- Retrieved 10 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 0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 38 Suspicious Transactions: 10
Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 38 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.
0xafa6ec85532403d606ee2d356ff88ff1e2f7210b19b99d05925c9979ce39e25d: Very short time between transactions
0xd5213ff19bf21c70a7f229e330493889e4630c98d6ffa5f054a6eb2c1dd04e1e: Very short time between transactions
0x33ec7b3f25e039ad801839700aa95e5887353d345776236a505f1fa99ea25796: Very short time between transactions
0x86164fe68e984499564bb4cfde3676309b76f8c108eb10fa45241ea6492589c4: Very short time between transactions
0x694d7838d8083bd4659d62b9772e78982974109accaa9cd2f80db0f26509b2ff: Very short time between transactions
0x6c60f75fb811b7a56f744a9468032494adb1055ae0af9ed7378bfe8510b876b7: Very short time between transactions
0x50629984d3c9acc0c3733a644034607652507d97cb1847d9ba3548dc938307bc: Very short time between transactions
0x4909fd658dac9a129f4b9da6ab87d56448cba2d8da3322f0c98a58f709770db9: Very short time between transactions
0x86164fe68e984499564bb4cfde3676309b76f8c108eb10fa45241ea6492589c4: Transaction amount halved compared to previous transaction
0x6c60f75fb811b7a56f744a9468032494adb1055ae0af9ed7378bfe8510b876b7: Transaction amount halved compared to previous transaction
0xafa6ec85532403d606ee2d356ff88ff1e2f7210b19b99d05925c9979ce39e25d: High frequency transactions (less than 1 minute interval)
0xd5213ff19bf21c70a7f229e330493889e4630c98d6ffa5f054a6eb2c1dd04e1e: High frequency transactions (less than 1 minute interval)
0x33ec7b3f25e039ad801839700aa95e5887353d345776236a505f1fa99ea25796: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x86164fe68e984499564bb4cfde3676309b76f8c108eb10fa45241ea6492589c4: High frequency transactions (less than 1 minute interval)
0x694d7838d8083bd4659d62b9772e78982974109accaa9cd2f80db0f26509b2ff: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x6c60f75fb811b7a56f744a9468032494adb1055ae0af9ed7378bfe8510b876b7: High frequency transactions (less than 1 minute interval)
0x50629984d3c9acc0c3733a644034607652507d97cb1847d9ba3548dc938307bc: High frequency transactions (less than 1 minute interval)
0x4909fd658dac9a129f4b9da6ab87d56448cba2d8da3322f0c98a58f709770db9: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xafa6ec8…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Receives funds from exploit address: 0xe69753...
Related to 117 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 42
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
|
0x86164fe…
|
43
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
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
0x6c60f75…
|
42
High
|
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
0x73fbea9…
|
39
Medium
|
Short time frame between transactions
Related to high-risk transaction ['0xc3b1461fbb331942ad9f95b5e373492a939c918144cdbdb4628466362f587f02'] (score: 85)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
|
0x33ec7b3…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
0xdc1c782…
|
85
High
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Round amount consistent with mixer
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
|
0x694d783…
|
42
High
|
Short time frame between transactions
Related to high-risk transaction ['0xa0c73e9af80e4dea04d8332b3266010c93a09427e489024b7d395425c10da52a'] (score: 85)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
0xd5213ff…
|
70
High
|
Short time frame between transactions
Rapid multi-hop layering pattern detected
Part of cyclic transaction pattern: Part of cycle of length 4
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 amount doubled compared to previous transaction
|
0x4909fd6…
|
30
Medium
|
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
Transaction amount halved compared to previous transaction
|
0x5062998…
|
29
Medium
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 10
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 0xcf4bd4616f29e2f04b2dfb8c929fcde167668bf4:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 52.70
- Total Suspicious Patterns: 10
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 20:01:52 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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