Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x31c5...a5c1
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x31c5...a5c1
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Overview
Project Scope
Analysis of wallet 0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 16 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 0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1
1. Blockchain Data Retrieval
- Retrieved 16 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 0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 63 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 63 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.
0xbc0d508cbb864542802dc3bda0a9b58f8fa73ad3f21ddd449c5c8795162b2acb: Very short time between transactions
0xe2e15fc8bc3269a83def8e56486b68d5c3d8113cd8c3eaf0afd381f9a9df8353: Very short time between transactions
0x10a39e3aa9961d702ac3e403dc51d28106b875696fcb840789d109539b082fc7: Very short time between transactions
0x1e0812e978b74c3c3ad006e9fb42e4150977d4ed8c460e3697b9d9ad1466f061: Very short time between transactions
0x70a685aad7edd11d823d899e89b706744dd8104ab2dd47ca8bffcceb581310be: Very short time between transactions
0xe6e6958dee95e5d5f7e9b16a1c5432fd7515f2808fe06dc2cc7f8e784672a938: Very short time between transactions
0x58510c9fb4bd96665060e0360f41106ea654bc93ac39923ac55c28d9a046544b: Very short time between transactions
0x6d450ac2fcfa1ca36705fe4dd98a6002b85f53a3cca851108ee36cbc2778a10d: Very short time between transactions
0x6ed51ec8d6aadf8f71c6c5b60e1ec40854c91a3ad0aa942f5ae35d2744b16ed8: Very short time between transactions
0x07250dcef3df6910730fc00dd2dc62af2f08cb3b45de39d057f8fc2db85dd47c: Very short time between transactions
0x6ab69a6e28848a52e70371a185773bacff87bcdbcf9e9f1f07691721b535a368: Very short time between transactions
0xa0a4c47b11a26c3df9d2f430b08624416a6219ab469c718b45759cf81133a418: Very short time between transactions
0xb0d63b3ea83a928fd65fe038a674a136d57fdabbbb65ad90c07a2382f5b71938: Very short time between transactions
0x7d31187736c49ee815d2e1711c911ebe11dc1f09143d0ecc12f8ddec96eb0249: Very short time between transactions
0xadb52a3a1305577b788f6c9cb6f867156abfc9e05e50ef93dbdb891f3ac6090e: Very short time between transactions
0x7d31187736c49ee815d2e1711c911ebe11dc1f09143d0ecc12f8ddec96eb0249: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0xbc0d508cbb864542802dc3bda0a9b58f8fa73ad3f21ddd449c5c8795162b2acb: High frequency transactions (less than 1 minute interval)
0xe2e15fc8bc3269a83def8e56486b68d5c3d8113cd8c3eaf0afd381f9a9df8353: High frequency transactions (less than 1 minute interval)
0x10a39e3aa9961d702ac3e403dc51d28106b875696fcb840789d109539b082fc7: High frequency transactions (less than 1 minute interval)
0x1e0812e978b74c3c3ad006e9fb42e4150977d4ed8c460e3697b9d9ad1466f061: High frequency transactions (less than 1 minute interval)
0x70a685aad7edd11d823d899e89b706744dd8104ab2dd47ca8bffcceb581310be: High frequency transactions (less than 1 minute interval)
0xe6e6958dee95e5d5f7e9b16a1c5432fd7515f2808fe06dc2cc7f8e784672a938: High frequency transactions (less than 1 minute interval)
0x58510c9fb4bd96665060e0360f41106ea654bc93ac39923ac55c28d9a046544b: High frequency transactions (less than 1 minute interval)
0x6d450ac2fcfa1ca36705fe4dd98a6002b85f53a3cca851108ee36cbc2778a10d: High frequency transactions (less than 1 minute interval)
0x6ed51ec8d6aadf8f71c6c5b60e1ec40854c91a3ad0aa942f5ae35d2744b16ed8: High frequency transactions (less than 1 minute interval)
0x07250dcef3df6910730fc00dd2dc62af2f08cb3b45de39d057f8fc2db85dd47c: High frequency transactions (less than 1 minute interval)
0x6ab69a6e28848a52e70371a185773bacff87bcdbcf9e9f1f07691721b535a368: High frequency transactions (less than 1 minute interval)
0xa0a4c47b11a26c3df9d2f430b08624416a6219ab469c718b45759cf81133a418: High frequency transactions (less than 1 minute interval)
0xb0d63b3ea83a928fd65fe038a674a136d57fdabbbb65ad90c07a2382f5b71938: High frequency transactions (less than 1 minute interval)
0x7d31187736c49ee815d2e1711c911ebe11dc1f09143d0ecc12f8ddec96eb0249: High frequency transactions (less than 1 minute interval)
0xadb52a3a1305577b788f6c9cb6f867156abfc9e05e50ef93dbdb891f3ac6090e: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
16
Average Risk Score
44.12
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xd73bf02…
|
46
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly higher than user average
Very short time between transactions
Related to 57 high-risk transactions (highest score: 100)
|
No tags
|
0x70a685a…
|
50
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x58510c9…
|
50
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xadb52a3…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
Related to 15 high-risk transactions (highest score: 92)
|
No tags
|
0x07250dc…
|
39
Medium
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x6ab69a6…
|
44
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0xb0d63b3…
|
39
Medium
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0xbc0d508…
|
50
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xe2e15fc…
|
41
High
|
Multiple round number transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x6d450ac…
|
42
High
|
Short time frame between transactions
Multiple round number transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xa0a4c47…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 5 high-risk transactions (highest score: 86)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x7d31187…
|
100
High
|
Related to 31 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Address became active after a long inactive period
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x6ed51ec…
|
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
|
No tags
|
0x10a39e3…
|
43
High
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x1e0812e…
|
50
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xe6e6958…
|
50
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
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: 16
Medium Risk Activities: 0
Total Flagged Transactions: 16
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 0x31c5ae4a06d2b9952c3901947668f9a777bfa5c1:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 45.19
- Total Suspicious Patterns: 16
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 01:17:28 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
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