Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcef5...a19c
Published
15 Jul 2025
69 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcef5...a19c
Overview
Project Scope
Analysis of wallet 0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 4 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 0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c
1. Blockchain Data Retrieval
- Retrieved 4 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 0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 15 Suspicious Transactions: 4
Key Findings: - Automated analysis detected 4 suspicious transactions - Risk assessment indicates very high risk level - 15 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.
0xdd5958c3f52b3dbf0adb8157e7687e36526b715b84e10a968fba1b08f9fc9972: Very short time between transactions
0x0ccd529f16e5329137e7fc1723a07fa858e10b7d4082344e335705af6b94dfad: Very short time between transactions
0x7324fe47c3acf32742d1e59063c026ba2fa8c9d66f98e81c0975f0602d435e86: Very short time between transactions
0xdd5958c3f52b3dbf0adb8157e7687e36526b715b84e10a968fba1b08f9fc9972: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x0ccd529f16e5329137e7fc1723a07fa858e10b7d4082344e335705af6b94dfad: High frequency transactions (less than 1 minute interval)
0x7324fe47c3acf32742d1e59063c026ba2fa8c9d66f98e81c0975f0602d435e86: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
4
Average Risk Score
100.0
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Network | Risk Score | Risk Factors | Tags |
|---|---|---|---|---|
0x8a9900d…
|
— |
100
High
|
High frequency transactions (less than 1 minute interval)
Outgoing structuring detected: 4 similar amounts totaling 0.00
Sends funds to exploit address: 0x83c767...
Very short time between transactions
Related to 146 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 26
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
|
No tags
|
0xdd5958c…
|
— |
100
High
|
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Related to 164 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Sends funds to exploit address: 0x96244d...
Transaction involves DeFi exploit address: Bybit Exploiter 32
|
No tags
|
0x7324fe4…
|
— |
100
High
|
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Related to 164 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Sends funds to exploit address: 0x96244d...
Transaction involves DeFi exploit address: Bybit Exploiter 32
|
No tags
|
0x0ccd529…
|
— |
100
High
|
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Related to 164 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Sends funds to exploit address: 0x96244d...
Transaction involves DeFi exploit address: Bybit Exploiter 32
|
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: 4
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 0xcef568d3b89c0dc7dc66dba59c2136fb9f6da19c:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 100.00
- Total Suspicious Patterns: 4
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
Report Information
Author
Cladious Auto
Published Date
July 15, 2025
Views
69
Likes
0