Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcfb8...f8d7
Published
15 Jul 2025
9 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcfb8...f8d7
Overview
Project Scope
Analysis of wallet 0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7
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 0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7
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 0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7
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.
0x53104577e14f7b82a8ea3b582b2b24cc4702b752bb5128bec98f31b7c4aef798: Very short time between transactions
0xfd784b992511419044fd25f37805c1719fa74662c2d392585190ae4e4e777f33: Very short time between transactions
0x034bffc0a4a4d79e247edb1ba8b694260160ba19fe0868cfb6dbdd46c025229e: Very short time between transactions
0x8d270672fde5170be7a019697ce631474d14870c629e255f06ab769662a3c5ef: Very short time between transactions
0x913afd116ce3e0fbbcc3036610cc3490aa252a0737936c03008a0b4f74fcf983: Very short time between transactions
0xa3ee87b7dcd504dd74fd28b0354b7cd77898e22789fc8f3abcd7d05353632724: Very short time between transactions
0x53104577e14f7b82a8ea3b582b2b24cc4702b752bb5128bec98f31b7c4aef798: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0x913afd116ce3e0fbbcc3036610cc3490aa252a0737936c03008a0b4f74fcf983: Transaction amount halved compared to previous transaction
0x53104577e14f7b82a8ea3b582b2b24cc4702b752bb5128bec98f31b7c4aef798: High frequency transactions (less than 1 minute interval)
0xfd784b992511419044fd25f37805c1719fa74662c2d392585190ae4e4e777f33: High frequency transactions (less than 1 minute interval)
0x034bffc0a4a4d79e247edb1ba8b694260160ba19fe0868cfb6dbdd46c025229e: High frequency transactions (less than 1 minute interval)
0x8d270672fde5170be7a019697ce631474d14870c629e255f06ab769662a3c5ef: High frequency transactions (less than 1 minute interval)
0x913afd116ce3e0fbbcc3036610cc3490aa252a0737936c03008a0b4f74fcf983: High frequency transactions (less than 1 minute interval)
0xa3ee87b7dcd504dd74fd28b0354b7cd77898e22789fc8f3abcd7d05353632724: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x8d27067…
|
34
Medium
|
Short time frame between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
0x913afd1…
|
41
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0x5310457…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 33
Receives funds from exploit address: 0x09278b...
Related to 84 high-risk transactions (highest score: 100)
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
|
0xa3ee87b…
|
33
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0xfd784b9…
|
41
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
|
0x034bffc…
|
38
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Low transaction fee
Large transaction amount
Regular interval transactions between the same wallets
|
0x2505a7c…
|
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
|
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: 7
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 0xcfb8ee211aed0f5e13e22de33f6ac410f663f8d7:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 45.29
- 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: 2025-07-15 20:05:15 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
Views
9
Likes
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