Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x19e5...0664
Published
13 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x19e5...0664
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Overview
Project Scope
Analysis of wallet 0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664
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 0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664
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 0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 28 Suspicious Transactions: 7
Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 28 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.
0xd4d565d1e3bdd68c499566ab93afff695196842882f32285624d5131c4b3d3f0: Very short time between transactions
0x4fa67b0dc37e617074193f66ce5f70548660e639f85a23a5e8a1f9097fb56aa3: Very short time between transactions
0x79c4d07005deb803138b8dfedbe3e55dc2288cb6fa44ea21e55ab210f5cc27a5: Very short time between transactions
0x614ad7b386e81f81bfc1d11a09fb3aaab7e74d8b4f9ea2f4247136a61152a5ec: Very short time between transactions
0x56ec0dc334bcbeb2c5748e7cc3eb5b2ee033a55453c69824d68ba789ebc39370: Very short time between transactions
0x9d3b4a5364e999fb74d0008b4d97af1a6c2a765b936560eb349cc2db8063468b: Very short time between transactions
0x56ec0dc334bcbeb2c5748e7cc3eb5b2ee033a55453c69824d68ba789ebc39370: Transaction amount significantly lower than average
0xd4d565d1e3bdd68c499566ab93afff695196842882f32285624d5131c4b3d3f0: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xcd767701104a8017e0c421e962122a0dae12979fcba9ea3ddcca9496b980ebba: Regular interval transactions between the same wallets
0x4fa67b0dc37e617074193f66ce5f70548660e639f85a23a5e8a1f9097fb56aa3: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x79c4d07005deb803138b8dfedbe3e55dc2288cb6fa44ea21e55ab210f5cc27a5: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x614ad7b386e81f81bfc1d11a09fb3aaab7e74d8b4f9ea2f4247136a61152a5ec: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x56ec0dc334bcbeb2c5748e7cc3eb5b2ee033a55453c69824d68ba789ebc39370: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x9d3b4a5364e999fb74d0008b4d97af1a6c2a765b936560eb349cc2db8063468b: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
7
Average Risk Score
47.29
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x9d3b4a5…
|
69
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of suspicious wallet community
Part of coordinated wallet cluster
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
|
0xd4d565d…
|
100
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Receives funds from exploit address: 0x4571bd...
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 54
Low transaction fee
Part of suspicious wallet community
Related to 15 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0xcd76770…
|
57
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x4fa67b0…
|
53
High
|
Short time frame between transactions
Part of coordinated wallet cluster
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
|
0x79c4d07…
|
61
High
|
Short time frame between transactions
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
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
|
0x614ad7b…
|
39
Medium
|
Short time frame between transactions
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
|
0x56ec0dc…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
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: 6
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 0x19e5ac0e5d4dbccff1ab27ae9ce87d4f88ed0664:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 54.14
- 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: 2025-07-13 23:13:19 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
11
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