Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x4caa...fb42
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x4caa...fb42
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Overview
Project Scope
Analysis of wallet 0x4caadc7e2409367ad06571e9113835db4c8bfb42 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x4caadc7e2409367ad06571e9113835db4c8bfb42
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x4caadc7e2409367ad06571e9113835db4c8bfb42
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 11 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 0x4caadc7e2409367ad06571e9113835db4c8bfb42
1. Blockchain Data Retrieval
- Retrieved 11 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 0x4caadc7e2409367ad06571e9113835db4c8bfb42
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 42 Suspicious Transactions: 11
Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 42 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.
0x2862ccfca1d1882415fa86e961b79783fe9afe5471471d8918a1da0c64741872: Very short time between transactions
0x252982177594085c2bcea8a7ce1c45961180a5e3db18dcabdb04fc7083596240: Very short time between transactions
0x4e7a1aae59b259071deab7bb28c5069ba34d16420d75d1a31092265275cbd3cf: Very short time between transactions
0x45e76136d9f5b66414f3f72448ac34a3455586a9f1db8de10400f81d5e299f98: Very short time between transactions
0x353d70c0999ce524ea72f96661bf6b183dc7a24a3ceb3999db018bf5111f1de5: Very short time between transactions
0x9ebc8b23cff2bdef820e09eb2760a0bf3119387b61da95b9271ce2571785672c: Very short time between transactions
0xa566bba1048fa3108e825469fcea88999e4c7b975659d9fc5fce9e2ca4de8e64: Very short time between transactions
0x69ce207f4c7527caa43f45f601dda9a8008d5a670c1495bb473640df7bce6308: Very short time between transactions
0x4ce9729a2eab4556610895dfe50741351b99140f15a142b4cdfde03a2f5ad448: Very short time between transactions
0xd8000940512b2598eee78a93289410906964d2aea61b34fcf10f31c32a22f888: Very short time between transactions
0x877c5371a5a77777fe2234c70052dc6bdbe5b9950c34f17bd5059e1b00b19078: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x2862ccfca1d1882415fa86e961b79783fe9afe5471471d8918a1da0c64741872: High frequency transactions (less than 1 minute interval)
0x4e7a1aae59b259071deab7bb28c5069ba34d16420d75d1a31092265275cbd3cf: High frequency transactions (less than 1 minute interval)
0x45e76136d9f5b66414f3f72448ac34a3455586a9f1db8de10400f81d5e299f98: High frequency transactions (less than 1 minute interval)
0x353d70c0999ce524ea72f96661bf6b183dc7a24a3ceb3999db018bf5111f1de5: High frequency transactions (less than 1 minute interval)
0x9ebc8b23cff2bdef820e09eb2760a0bf3119387b61da95b9271ce2571785672c: High frequency transactions (less than 1 minute interval)
0xa566bba1048fa3108e825469fcea88999e4c7b975659d9fc5fce9e2ca4de8e64: High frequency transactions (less than 1 minute interval)
0x69ce207f4c7527caa43f45f601dda9a8008d5a670c1495bb473640df7bce6308: High frequency transactions (less than 1 minute interval)
0x4ce9729a2eab4556610895dfe50741351b99140f15a142b4cdfde03a2f5ad448: High frequency transactions (less than 1 minute interval)
0xd8000940512b2598eee78a93289410906964d2aea61b34fcf10f31c32a22f888: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
12
Average Risk Score
43.67
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x4e7a1aa…
|
43
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x45e7613…
|
62
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x353d70c…
|
58
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x2529821…
|
53
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
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xa566bba…
|
30
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x2862ccf…
|
39
Medium
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x69ce207…
|
43
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
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
|
No tags
|
0x4ce9729…
|
41
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xd800094…
|
48
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x877c537…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 27
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Receives funds from exploit address: 0x52207e...
High frequency transactions (less than 1 minute interval)
Low transaction fee
Related to 33 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0x9ebc8b2…
|
30
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
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: 11
Medium Risk Activities: 0
Total Flagged Transactions: 11
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 0x4caadc7e2409367ad06571e9113835db4c8bfb42:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 49.73
- Total Suspicious Patterns: 11
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: 2025-07-14 03:38:54 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 14, 2025
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5
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