Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x6bc0...1450
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x6bc0...1450
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Overview
Project Scope
Analysis of wallet 0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 8 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 0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450
1. Blockchain Data Retrieval
- Retrieved 8 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 0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 31 Suspicious Transactions: 8
Key Findings: - Automated analysis detected 8 suspicious transactions - Risk assessment indicates very high risk level - 31 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.
0xd6bf98608867a4cd8e84370b85d50f9017b6b6fd8edd6a4b0ab00c6c3894552c: Very short time between transactions
0x81a6ae864acb1e66ee2dd3c3e691f95733a673699741c1142f3d2818ab0abcb9: Very short time between transactions
0x497fe7844d92a453a68f5ccb362c1ee91a7ece4f7c35635bc2b411ae11c570ce: Very short time between transactions
0x4bfad4683ab991015c80edfb4c2eadeba3db463175cb737f7e0ac2b4143f66bf: Very short time between transactions
0x513bac5a15b224cd4772e089108d2af1c153087f1aca46dae77b552c36bdba32: Very short time between transactions
0x469dd3437e63257c115a7f010b8785c747f6525d9080ac7b6d4368beb97d4410: Very short time between transactions
0xd6bf98608867a4cd8e84370b85d50f9017b6b6fd8edd6a4b0ab00c6c3894552c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x81a6ae864acb1e66ee2dd3c3e691f95733a673699741c1142f3d2818ab0abcb9: Regular interval transactions between the same wallets
0x1a77f03482396bd2ac75ec4d33eabfa1dba8376966f66415403751b46d219241: Regular interval transactions between the same wallets
0x497fe7844d92a453a68f5ccb362c1ee91a7ece4f7c35635bc2b411ae11c570ce: High frequency transactions (less than 1 minute interval)
0x4bfad4683ab991015c80edfb4c2eadeba3db463175cb737f7e0ac2b4143f66bf: High frequency transactions (less than 1 minute interval)
0x513bac5a15b224cd4772e089108d2af1c153087f1aca46dae77b552c36bdba32: High frequency transactions (less than 1 minute interval)
0x469dd3437e63257c115a7f010b8785c747f6525d9080ac7b6d4368beb97d4410: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
8
Average Risk Score
65.12
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x469dd34…
|
52
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Transaction amount significantly higher than average
Related to high-risk transaction ['0x6d20433531159d2eb212e2c9444ea3a091ed001ee5188c72163df0f9a7b244a4'] (score: 78)
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
|
No tags
|
0xd6bf986…
|
39
Medium
|
Anomaly detected by Isolation Forest
Related to high-risk transaction ['0x3b6504cbbd147c6d4a661a3104f8b2b4ffebd6bc114c9d511ea9fa44adf72d28'] (score: 100)
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Transaction amount significantly lower than average
|
No tags
|
0x81a6ae8…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 46
Receives funds from exploit address: 0x210321...
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Related to 26 high-risk transactions (highest score: 100)
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
|
No tags
|
0x1a77f03…
|
76
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Related to 3 high-risk transactions (highest score: 78)
Rapid multi-hop layering pattern detected
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x4bfad46…
|
38
Medium
|
Short time frame between transactions
Related to 20 high-risk transactions (highest score: 89)
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x513bac5…
|
60
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Related to high-risk transaction ['0x6d20433531159d2eb212e2c9444ea3a091ed001ee5188c72163df0f9a7b244a4'] (score: 78)
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x497fe78…
|
56
High
|
Short time frame between transactions
Related to 4 high-risk transactions (highest score: 80)
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xfc61544…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Transaction amount significantly higher than average
Large transaction amount
Receives funds from exploit address: 0xd5b58c...
Low transaction fee
Part of suspicious wallet community
Related to 33 high-risk transactions (highest score: 100)
|
No tags
|
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: 8
Medium Risk Activities: 0
Total Flagged Transactions: 8
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 0x6bc0edb7c6c5cefe2b7ea28d559f7196ade81450:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 65.12
- Total Suspicious Patterns: 8
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: 2025-07-14 06:35:22 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 14, 2025
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