Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xe739...47c0
Published
15 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xe739...47c0
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xe739b1f457afbc96b55888186037cfe5393c47c0 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xe739b1f457afbc96b55888186037cfe5393c47c0
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xe739b1f457afbc96b55888186037cfe5393c47c0
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 0xe739b1f457afbc96b55888186037cfe5393c47c0
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 0xe739b1f457afbc96b55888186037cfe5393c47c0
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.
0xa9cf81348f37da1990ab94011dfc3ad3f1f448e6c1f54aabc47e47848c1df64a: Very short time between transactions
0x5a8c7520ed472b0e04a45cb10a478465fc1f59575b9a8e652b1c2910433fc75f: Very short time between transactions
0x163c7aaeed7d9123dc895f9df273c5cc4373a41341584a9978927e9d7c6a0304: Very short time between transactions
0x4b18f55a9c0c594c8ad33789b5bda71aba32bf63dbe9ce25b1828abb8ef0979c: Very short time between transactions
0x38c32c294ea98811fca865a87e5dc68f4b7b46e02bf4ca645353fe918ec524ee: Very short time between transactions
0xcb3f55f075d82ad814a60a662fb96cf23d3035743338b84790e0efce4e80b9b5: Very short time between transactions
0xf446bd2fba3346d0417359065a12bde87519b277a9cb2a6e84f96b9412efae56: Very short time between transactions
0x28230863856dcb7a10b0328159f739ee7a413ee54ade3cbc7f5c664120d4b175: Very short time between transactions
0x2cc86453737a1b1ceb6bcd621f8a2377afed677fe47a45db9603abede2eb3f73: Very short time between transactions
0xa9cf81348f37da1990ab94011dfc3ad3f1f448e6c1f54aabc47e47848c1df64a: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x5a8c7520ed472b0e04a45cb10a478465fc1f59575b9a8e652b1c2910433fc75f: High frequency transactions (less than 1 minute interval)
0x163c7aaeed7d9123dc895f9df273c5cc4373a41341584a9978927e9d7c6a0304: High frequency transactions (less than 1 minute interval)
0x4b18f55a9c0c594c8ad33789b5bda71aba32bf63dbe9ce25b1828abb8ef0979c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x38c32c294ea98811fca865a87e5dc68f4b7b46e02bf4ca645353fe918ec524ee: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xcb3f55f075d82ad814a60a662fb96cf23d3035743338b84790e0efce4e80b9b5: High frequency transactions (less than 1 minute interval)
0xf446bd2fba3346d0417359065a12bde87519b277a9cb2a6e84f96b9412efae56: High frequency transactions (less than 1 minute interval)
0x28230863856dcb7a10b0328159f739ee7a413ee54ade3cbc7f5c664120d4b175: High frequency transactions (less than 1 minute interval)
0x2cc86453737a1b1ceb6bcd621f8a2377afed677fe47a45db9603abede2eb3f73: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x76bfc38…
|
85
High
|
Low transaction fee
Large transaction amount
Round amount consistent with mixer
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Transaction amount significantly higher than average
|
No tags
|
0xa9cf813…
|
100
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 145 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Transaction amount significantly higher than user average
|
No tags
|
0xf446bd2…
|
47
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
|
No tags
|
0x2823086…
|
44
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
|
No tags
|
0xcb3f55f…
|
54
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x4b18f55…
|
50
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x38c32c2…
|
44
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x5a8c752…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x163c7aa…
|
85
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Round amount consistent with mixer
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
No tags
|
0x2cc8645…
|
42
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between 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 0xe739b1f457afbc96b55888186037cfe5393c47c0:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 59.40
- 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: 2025-07-15 23:32:42 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
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