Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x8c28...6b0d
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x8c28...6b0d
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Overview
Project Scope
Analysis of wallet 0x8c281380ad23c9307523102beb1dc8ded9fe6b0d - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x8c281380ad23c9307523102beb1dc8ded9fe6b0d
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x8c281380ad23c9307523102beb1dc8ded9fe6b0d
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 7 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 0x8c281380ad23c9307523102beb1dc8ded9fe6b0d
1. Blockchain Data Retrieval
- Retrieved 7 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 0x8c281380ad23c9307523102beb1dc8ded9fe6b0d
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 27 Suspicious Transactions: 7
Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 27 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.
0x28fc8fdb660abaecb8a2b4d73f2035a4ef65553f66a859946a7104b9258f6551: Very short time between transactions
0x661111fdc309687d66748d97c995bfac207d96b6a59d07783edfa04c6c721774: Very short time between transactions
0xd1a68f3164bba7e4586c9a13e4032ab4544d9fdd7b3d8cd8e0e1aae421934ec9: Very short time between transactions
0x54d9b016fbe9d4e6417248af59d7e6f6fc2ab8d91651a3b0568516f5fa4d3729: Very short time between transactions
0xcd7fa7679831df3617ce5cf987c2164834409a568cd52b33f45d3d3ca111b34d: Very short time between transactions
0x4a546ff15f9076ee3171edbc9b9be37b5ce0490a2092455cfc34226cd125b73d: Very short time between transactions
0x661111fdc309687d66748d97c995bfac207d96b6a59d07783edfa04c6c721774: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xc0122ba4c3a96f9e473dfcd11e42d9340662461c29edeb80b86cf5b4296bf1ef: Transaction amount significantly lower than average
0xd1a68f3164bba7e4586c9a13e4032ab4544d9fdd7b3d8cd8e0e1aae421934ec9: Transaction amount significantly lower than average
0x54d9b016fbe9d4e6417248af59d7e6f6fc2ab8d91651a3b0568516f5fa4d3729: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0xcd7fa7679831df3617ce5cf987c2164834409a568cd52b33f45d3d3ca111b34d: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x4a546ff15f9076ee3171edbc9b9be37b5ce0490a2092455cfc34226cd125b73d: Transaction amount significantly higher than average
0x28fc8fdb660abaecb8a2b4d73f2035a4ef65553f66a859946a7104b9258f6551: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x661111fdc309687d66748d97c995bfac207d96b6a59d07783edfa04c6c721774: High frequency transactions (less than 1 minute interval)
0xd1a68f3164bba7e4586c9a13e4032ab4544d9fdd7b3d8cd8e0e1aae421934ec9: High frequency transactions (less than 1 minute interval)
0x54d9b016fbe9d4e6417248af59d7e6f6fc2ab8d91651a3b0568516f5fa4d3729: High frequency transactions (less than 1 minute interval)
0xcd7fa7679831df3617ce5cf987c2164834409a568cd52b33f45d3d3ca111b34d: High frequency transactions (less than 1 minute interval)
0x4a546ff15f9076ee3171edbc9b9be37b5ce0490a2092455cfc34226cd125b73d: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
7
Average Risk Score
48.86
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xc0122ba…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x28fc8fd…
|
42
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xd1a68f3…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x54d9b01…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 46
Related to 44 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x210321...
Address became active after a long inactive period
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xcd7fa76…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 41
Sends funds to exploit address: 0xbde2cc...
Related to 65 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x4a546ff…
|
100
High
|
Short time frame between transactions
Related to 78 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x9ef428...
Transaction involves DeFi exploit address: Bybit Exploiter 40
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x661111f…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
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: 4
Medium Risk Activities: 0
Total Flagged Transactions: 7
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 0x8c281380ad23c9307523102beb1dc8ded9fe6b0d:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 48.86
- Total Suspicious Patterns: 7
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 09:47:59 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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