Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x0e90...0aff
Published
13 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x0e90...0aff
Overview
Project Scope
Analysis of wallet 0x0e90eda4c6d680e24bb92e849af497ae4c080aff - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x0e90eda4c6d680e24bb92e849af497ae4c080aff
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x0e90eda4c6d680e24bb92e849af497ae4c080aff
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 0x0e90eda4c6d680e24bb92e849af497ae4c080aff
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 0x0e90eda4c6d680e24bb92e849af497ae4c080aff
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.
0xa80989c0ce22d83d66ce4860ce00da19325f1524511a15041235772aea92ee8b: Very short time between transactions
0x1465d3136c6a20f7f2593d813cf168c6cacc104ea32dd51b8d9450f692dddeee: Very short time between transactions
0xfd0398cde284f3fa2bec0a150c4c98c658a3bc3255aff4e1402d60534e6ae472: Very short time between transactions
0xc47359e44220eb1648da8a1c9273fb13610f533448a416b78573195be4077ad7: Very short time between transactions
0x2aec3d42163ee2b2c5206d2b131bbf80318081c08b800bbdb4442b3cde03fb9d: Very short time between transactions
0xc58f35a0fc5ae056eaca59f76697aba5208d039cca20fed283942cbed50182df: Very short time between transactions
0x4c0106617e7eca0dd8b234102b6cb18bd68b7f374ad185b0c2fed70de038e12c: Very short time between transactions
0x3b458b156b92681993bf6aaef207d998feba7127b9beca91363e324fadb22fc5: Very short time between transactions
0x46e75c65f8a5a02e5c94f07cd4930638a9a331d7f4ef84cb380b29ddd21ba5a5: Very short time between transactions
0x9c2dd03f995fa204a508e7420269dcb472634764dd92fbd00fe8da9e923ec59d: Transaction amount halved compared to previous transaction
0xa80989c0ce22d83d66ce4860ce00da19325f1524511a15041235772aea92ee8b: High frequency transactions (less than 1 minute interval)
0x1465d3136c6a20f7f2593d813cf168c6cacc104ea32dd51b8d9450f692dddeee: High frequency transactions (less than 1 minute interval)
0xfd0398cde284f3fa2bec0a150c4c98c658a3bc3255aff4e1402d60534e6ae472: High frequency transactions (less than 1 minute interval)
0xc47359e44220eb1648da8a1c9273fb13610f533448a416b78573195be4077ad7: High frequency transactions (less than 1 minute interval)
0x2aec3d42163ee2b2c5206d2b131bbf80318081c08b800bbdb4442b3cde03fb9d: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xc58f35a0fc5ae056eaca59f76697aba5208d039cca20fed283942cbed50182df: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x4c0106617e7eca0dd8b234102b6cb18bd68b7f374ad185b0c2fed70de038e12c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x3b458b156b92681993bf6aaef207d998feba7127b9beca91363e324fadb22fc5: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x46e75c65f8a5a02e5c94f07cd4930638a9a331d7f4ef84cb380b29ddd21ba5a5: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xa80989c…
|
100
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Receives funds from exploit address: 0xb72334...
Transaction involves DeFi exploit address: Bybit Exploiter 21
Very short time between transactions
Related to 2 high-risk transactions (highest score: 100)
|
0x9c2dd03…
|
49
High
|
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Low transaction fee
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
0xc47359e…
|
47
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0x1465d31…
|
47
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous transaction
|
0xfd0398c…
|
65
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
|
0x2aec3d4…
|
43
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
0xc58f35a…
|
47
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
0x4c01066…
|
42
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0x3b458b1…
|
40
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
0x46e75c6…
|
40
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
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 0x0e90eda4c6d680e24bb92e849af497ae4c080aff:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 52.00
- 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 22:15:46 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
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