Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa869...a165
Published
14 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa869...a165
Login to view LLM Analysis
Overview
Project Scope
Analysis of wallet 0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 5 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 0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165
1. Blockchain Data Retrieval
- Retrieved 5 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 0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 19 Suspicious Transactions: 5
Key Findings: - Automated analysis detected 5 suspicious transactions - Risk assessment indicates very high risk level - 19 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.
0xbafe1ffc00917572bdb49f4dca47f4d4293d462d21db110ddddbd94271bf490f: Very short time between transactions
0x15ee5f536c1872fac9d64b724090059cbc33175a5157defbdb05c8fe866ae217: Very short time between transactions
0x8a444055af95d7e6e2f49534752642c58b1b451026668c3e76b62e213abf3efd: Very short time between transactions
0xb4b45d80e17551e51a948633cb7d719787f293de9eb714300c8eb76ead13a8b0: Very short time between transactions
0xbafe1ffc00917572bdb49f4dca47f4d4293d462d21db110ddddbd94271bf490f: High frequency transactions (less than 1 minute interval)
0x15ee5f536c1872fac9d64b724090059cbc33175a5157defbdb05c8fe866ae217: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x8a444055af95d7e6e2f49534752642c58b1b451026668c3e76b62e213abf3efd: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xb4b45d80e17551e51a948633cb7d719787f293de9eb714300c8eb76ead13a8b0: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
5
Average Risk Score
55.4
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xbafe1ff…
|
55
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x79d188b…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 5
Sends funds to exploit address: 0xdd9007...
Related to 95 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Address became active after a long inactive period
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x15ee5f5…
|
48
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Part of suspicious wallet community
Related to 24 high-risk transactions (highest score: 89)
Very short time between transactions
|
No tags
|
0x8a44405…
|
38
Medium
|
Short time frame between transactions
Related to 10 high-risk transactions (highest score: 87)
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
|
0xb4b45d8…
|
36
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
|
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: 5
Medium Risk Activities: 0
Total Flagged Transactions: 5
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 0xa869a7003abc9553773ec55a3b7ab6a1fa9ea165:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 55.40
- Total Suspicious Patterns: 5
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 12:42:49 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
7
Likes
0