Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xdc0e...8ce7
Published
15 Jul 2025
19 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xdc0e...8ce7
Overview
Project Scope
Analysis of wallet 0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7
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 0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7
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 0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7
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.
0x2e57ae3b2369ffb9ac09a46bc3f870841877d17850840961156ada2679fe073f: Very short time between transactions
0x5ed03d2554da22618176583c668446d6e06d34347615a72e7fdf1335bef447b1: Very short time between transactions
0x81f94a1433cddb6431a75c6c3fc28dd0242dda43572b144e29355f8b53d5e179: Very short time between transactions
0x2e57ae3b2369ffb9ac09a46bc3f870841877d17850840961156ada2679fe073f: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x5ed03d2554da22618176583c668446d6e06d34347615a72e7fdf1335bef447b1: High frequency transactions (less than 1 minute interval)
0x81f94a1433cddb6431a75c6c3fc28dd0242dda43572b144e29355f8b53d5e179: 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 |
|---|---|---|---|---|
0x5ed03d2…
|
— |
100
High
|
Repetitive transaction amount
Short time frame between transactions
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Sends funds to exploit address: 0xcd1a4a...
Transaction involves DeFi exploit address: Bybit Exploiter 31
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Related to 103 high-risk transactions (highest score: 100)
|
No tags
|
0x2e57ae3…
|
— |
100
High
|
High frequency transactions (less than 1 minute interval)
Outgoing structuring detected: 4 similar amounts totaling 0.00
Sends funds to exploit address: 0xcd1a4a...
Transaction involves DeFi exploit address: Bybit Exploiter 31
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Related to 103 high-risk transactions (highest score: 100)
|
No tags
|
0x81f94a1…
|
— |
100
High
|
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Sends funds to exploit address: 0xcd1a4a...
Transaction involves DeFi exploit address: Bybit Exploiter 31
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Related to 103 high-risk transactions (highest score: 100)
|
No tags
|
0x0c6b858…
|
— |
100
High
|
Repetitive transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 25
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
Sends funds to exploit address: 0x1eb27f...
Related to 118 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
|
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 0xdc0efebd6e16cb76590f5ffb6cc268cfb2a68ce7:
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
19
Likes
0