Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x89ec...f079
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x89ec...f079
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Overview
Project Scope
Analysis of wallet 0x89ec7046a3ed94f410ce7b746ad2ce9585eef079 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x89ec7046a3ed94f410ce7b746ad2ce9585eef079
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x89ec7046a3ed94f410ce7b746ad2ce9585eef079
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 9 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 0x89ec7046a3ed94f410ce7b746ad2ce9585eef079
1. Blockchain Data Retrieval
- Retrieved 9 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 0x89ec7046a3ed94f410ce7b746ad2ce9585eef079
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 32 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 32 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.
0x6a90a3147949d2ebc493fa50a12f52d5e85636e3fe10f25b72e67da5a1ff77bf: Very short time between transactions
0x5c1bb0a93e7339539bee0fac73bb6b7a143609a320eaaf8a406ce594d7bcfaaf: Very short time between transactions
0x631e5adac76a38e3346075980f094d108fd330d4172d15c5a236be31a1171e91: Very short time between transactions
0x4942f76c7e3824906298a98e18552dff21ec671d18fc9dd838dad703b1ce79d8: Very short time between transactions
0x05e12800282935e658abcf9f2f3f2d68ddcdab1cdf17362ea923910b7b855992: Very short time between transactions
0xeefcf8f4e9ecf5aa318be43eb3d7bf94f73a40ff389dd3a8a82f513032c29a93: Very short time between transactions
0x1b1b48eb3662ca8e7cd654e2eae36e42607f00d42cad66e91f598335ee6a1782: Very short time between transactions
0xf9242ad38e6b7615b58d41e6cc90216b10f6f8c895204ecaf241a2ebd853006c: Transaction amount halved compared to previous transaction
0x6a90a3147949d2ebc493fa50a12f52d5e85636e3fe10f25b72e67da5a1ff77bf: High frequency transactions (less than 1 minute interval)
0x631e5adac76a38e3346075980f094d108fd330d4172d15c5a236be31a1171e91: High frequency transactions (less than 1 minute interval)
0x4942f76c7e3824906298a98e18552dff21ec671d18fc9dd838dad703b1ce79d8: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x05e12800282935e658abcf9f2f3f2d68ddcdab1cdf17362ea923910b7b855992: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xeefcf8f4e9ecf5aa318be43eb3d7bf94f73a40ff389dd3a8a82f513032c29a93: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
9
Average Risk Score
81.56
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x680cfaf…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 46
Receives funds from exploit address: 0x210321...
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Related to 43 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0xeefcf8f…
|
50
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x631e5ad…
|
50
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xf9242ad…
|
44
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
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
|
0x5c1bb0a…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Short time frame between transactions
Related to 44 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
Receives funds from exploit address: 0xd5b58c...
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x4942f76…
|
59
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Standard mixer amount detected
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x05e1280…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Short time frame between transactions
Related to 44 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Receives funds from exploit address: 0xd5b58c...
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x1b1b48e…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 47
Related to 44 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Receives funds from exploit address: 0xd5b58c...
Low transaction fee
|
No tags
|
0x6a90a31…
|
100
High
|
Large transaction amount
Low transaction fee
Receives funds from exploit address: 0xa5a023...
Transaction amount doubled compared to previous transaction
Related to 41 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 48
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: 9
Medium Risk Activities: 0
Total Flagged Transactions: 9
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 0x89ec7046a3ed94f410ce7b746ad2ce9585eef079:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 78.11
- Total Suspicious Patterns: 9
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 09:34:17 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
Views
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