Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x0c5b...882e
Published
13 Jul 2025
8 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x0c5b...882e
Overview
Project Scope
Analysis of wallet 0x0c5b1c2ef13248682fab507d15221584d821882e - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x0c5b1c2ef13248682fab507d15221584d821882e
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x0c5b1c2ef13248682fab507d15221584d821882e
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 0x0c5b1c2ef13248682fab507d15221584d821882e
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 0x0c5b1c2ef13248682fab507d15221584d821882e
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 36 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 36 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.
0x7d9da838bbd54615015e3d6e361d8f1acc19599a3324b16d144b0a5779c2f1e7: Very short time between transactions
0x7d9da838bbd54615015e3d6e361d8f1acc19599a3324b16d144b0a5779c2f1e7: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x729bb0b5de367e2d1be78889107dd5210a628261420329d6b3a2203c4c3ed249: Transaction amount significantly lower than average
0x180c39186cf1ca651c4d48452b9c2dbaf13cdf96e10ad0d8544cd481cc3236e7: Transaction amount doubled compared to previous transaction
0x5813af5907a2c25dfc9eddf58e19adf97afe73c55a47487cbc088897bac25e52: Transaction amount doubled compared to previous transaction
0x5b0d1dd209395cfcb2468d947623d853fb3c18421260a68b625ac9bc284181fa: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x1a0e11d8db98eed689c5a8d968010698a4adde7379a7027eeb73a7dd3dd4a4bc: Transaction amount halved compared to previous transaction
0x7d9da838bbd54615015e3d6e361d8f1acc19599a3324b16d144b0a5779c2f1e7: High frequency transactions (less than 1 minute interval)
0x212ca6112a0c3ace3bdb84912a1580862e31e310eaf9f51aa4a58ee8b0ce84f5: High frequency transactions (less than 1 minute interval)
0x729bb0b5de367e2d1be78889107dd5210a628261420329d6b3a2203c4c3ed249: High frequency transactions (less than 1 minute interval)
0x180c39186cf1ca651c4d48452b9c2dbaf13cdf96e10ad0d8544cd481cc3236e7: High frequency transactions (less than 1 minute interval)
0x176f4d65bdc31e7cb84bd0b0a8d69aac54f32a4db4e7c029d705570b65bebd4e: High frequency transactions (less than 1 minute interval)
0x5813af5907a2c25dfc9eddf58e19adf97afe73c55a47487cbc088897bac25e52: High frequency transactions (less than 1 minute interval)
0x025ff47ff611a7430e81d48a49070bd1b8e736394f31a06b72651997a08a49ae: High frequency transactions (less than 1 minute interval)
0x5b0d1dd209395cfcb2468d947623d853fb3c18421260a68b625ac9bc284181fa: High frequency transactions (less than 1 minute interval)
0x1a0e11d8db98eed689c5a8d968010698a4adde7379a7027eeb73a7dd3dd4a4bc: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x729bb0b…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0x5813af5…
|
25
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Related to 26 high-risk transactions (highest score: 100)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
0x025ff47…
|
48
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
0x5b0d1dd…
|
100
High
|
Short time frame between transactions
Transaction involves phishing/drainer address: Pink Drainer 2
Sends funds to exploit address: 0x851694...
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
0x7d9da83…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0x212ca61…
|
36
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 8 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0x180c391…
|
51
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Very short time between transactions
|
0x176f4d6…
|
49
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
0x1a0e11d…
|
26
Medium
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
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: 7
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 0x0c5b1c2ef13248682fab507d15221584d821882e:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 37.22
- 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: 2025-07-13 22:03:42 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 13, 2025
Views
8
Likes
0