Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x229e...d8a3
Published
13 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x229e...d8a3
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Overview
Project Scope
Analysis of wallet 0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 10 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 0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3
1. Blockchain Data Retrieval
- Retrieved 10 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 0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10
Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0x63e600bcea9a4567260a99504fae671e1885f3f558113c6609d522ef909a65fe: Very short time between transactions
0x51ecdf8ea3251fdab405c745906df33f966c49026751ee80ec7a330eb25d7a6e: Very short time between transactions
0x39e95c7e5aa83397fe305610d21a55dcc78be56a0254cccc6f9afb6e0089a53e: Very short time between transactions
0x8c5896d249b7e1288eb901fe055513680cf31cb407dab5fdfcdc31bf30352884: Very short time between transactions
0xb2f24973ad72163b67df0a32431b9d6fd3921f93f8656850f92b462dfd850172: Very short time between transactions
0xa21541a1e8a60660264c343b4a7e514268a7667ef192ba82796433ee4c9ccafb: Very short time between transactions
0x8b8b5c2242f48d485a640b066d0e3de5e7e404db483f16434584f58043490931: Very short time between transactions
0x6a02d6735722101356b961c141c91991f9b867669cb70f5689dc35a4fdf0cc64: Very short time between transactions
0x3ec54e58214f67bb2cfe13932e75fb6b70ea705818614dd280891767e92026cd: Very short time between transactions
0x63e600bcea9a4567260a99504fae671e1885f3f558113c6609d522ef909a65fe: High frequency transactions (less than 1 minute interval)
0x51ecdf8ea3251fdab405c745906df33f966c49026751ee80ec7a330eb25d7a6e: High frequency transactions (less than 1 minute interval)
0x39e95c7e5aa83397fe305610d21a55dcc78be56a0254cccc6f9afb6e0089a53e: High frequency transactions (less than 1 minute interval)
0x8c5896d249b7e1288eb901fe055513680cf31cb407dab5fdfcdc31bf30352884: High frequency transactions (less than 1 minute interval)
0xb2f24973ad72163b67df0a32431b9d6fd3921f93f8656850f92b462dfd850172: High frequency transactions (less than 1 minute interval)
0xa21541a1e8a60660264c343b4a7e514268a7667ef192ba82796433ee4c9ccafb: High frequency transactions (less than 1 minute interval)
0x8b8b5c2242f48d485a640b066d0e3de5e7e404db483f16434584f58043490931: High frequency transactions (less than 1 minute interval)
0x6a02d6735722101356b961c141c91991f9b867669cb70f5689dc35a4fdf0cc64: High frequency transactions (less than 1 minute interval)
0x3ec54e58214f67bb2cfe13932e75fb6b70ea705818614dd280891767e92026cd: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
10
Average Risk Score
64.9
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x8b8b5c2…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Fan-in structuring detected: 5 similar amounts from different addresses totaling 1140.08
Large transaction amount
Receives funds from exploit address: 0xd5b58c...
Low transaction fee
Part of suspicious wallet community
Fan-in structuring detected: 4 similar amounts from different addresses totaling 918.11
Related to 11 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
|
No tags
|
0xaf975d9…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Anomaly detected by Isolation Forest
Large transaction amount
Receives funds from exploit address: 0xd5b58c...
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Related to 11 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0xb2f2497…
|
62
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xa21541a…
|
42
High
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 1140.08
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 681.03
Very short time between transactions
|
No tags
|
0x6a02d67…
|
47
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 1140.08
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Fan-in structuring detected: 4 similar amounts from different addresses totaling 918.11
Outgoing structuring detected: 3 similar amounts totaling 681.03
Very short time between transactions
|
No tags
|
0x63e600b…
|
100
High
|
Fan-in structuring detected: 5 similar amounts from different addresses totaling 1140.08
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Related to 8 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0xa5a023...
Fan-in structuring detected: 4 similar amounts from different addresses totaling 918.11
Transaction involves DeFi exploit address: Bybit Exploiter 48
Rapid accumulation of large transactions
|
No tags
|
0x51ecdf8…
|
64
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
Transaction amount halved compared to previous transaction
|
No tags
|
0x39e95c7…
|
69
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of suspicious wallet community
Related to 3 high-risk transactions (highest score: 80)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x8c5896d…
|
53
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 17 high-risk transactions (highest score: 83)
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
|
0x3ec54e5…
|
39
Medium
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 1140.08
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Fan-in structuring detected: 4 similar amounts from different addresses totaling 918.11
Outgoing structuring detected: 3 similar amounts totaling 681.03
Rapid accumulation of large transactions
|
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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 10
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 0x229ec69c3cd55fb3b3fa1ff6be9f13a5d0cdd8a3:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 67.60
- Total Suspicious Patterns: 10
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: 2025-07-13 23:58:10 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 13, 2025
Views
8
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