Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc931...8d60
Published
15 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc931...8d60
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xc93126005982ad21df73dfc98703cc0455178d60 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xc93126005982ad21df73dfc98703cc0455178d60
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xc93126005982ad21df73dfc98703cc0455178d60
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 15 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 0xc93126005982ad21df73dfc98703cc0455178d60
1. Blockchain Data Retrieval
- Retrieved 15 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 0xc93126005982ad21df73dfc98703cc0455178d60
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 58 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 58 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.
0x9c8649ca58f4b3897a6517813549de8341ec99cb473ed736078015903de1fc24: Very short time between transactions
0x1da838045bea0b5933b0d6c9543aa017ee2d9bced865e226c2226057fce7264c: Very short time between transactions
0x4f06535f2e90e906c249c02f77253ad33a4d4d09572cf34d364c80ceeb423f46: Very short time between transactions
0x53ecc8390b73f58256db9c8b7e71d8585d5f82a7018d395f3cc701b927a6201d: Very short time between transactions
0x6c20503e8582db14164cebb8941b7e762b20f26a3f5d85d183859ce0c9c8ef72: Very short time between transactions
0x127095570f0fdcc3cd6bba3d8d571a04c07005de81c63ce047fedc8082264229: Very short time between transactions
0xc8cd181217db2b912241246aa9d3d3b7e8e9206473df615f5ff147269e27b528: Very short time between transactions
0x8b0258a8e7cd582cd5b01261a50cb81379e0104a5af52c9874a17d53a6ab6185: Very short time between transactions
0xb48047a4e607aacf5281a5d64cf230e70bad848048a0f759a82ea492047e118e: Very short time between transactions
0x46b89ed146e3d538241448536c16e5abd0807877eacf27df26023ef0ae4290fa: Very short time between transactions
0xdc7cab6ddac63eeccca4b93fe988e36002c883b3b0105735ab63c37267dff8f2: Very short time between transactions
0x2ac1b105345d9ec76f5a343c9df314a434a70b491b30aaeed4ef9bea756fd6e8: Very short time between transactions
0x1da838045bea0b5933b0d6c9543aa017ee2d9bced865e226c2226057fce7264c: Transaction amount halved compared to previous transaction
0x127095570f0fdcc3cd6bba3d8d571a04c07005de81c63ce047fedc8082264229: Transaction amount significantly lower than average
0xdc7cab6ddac63eeccca4b93fe988e36002c883b3b0105735ab63c37267dff8f2: Transaction amount halved compared to previous transaction
0x9c8649ca58f4b3897a6517813549de8341ec99cb473ed736078015903de1fc24: High frequency transactions (less than 1 minute interval)
0x1da838045bea0b5933b0d6c9543aa017ee2d9bced865e226c2226057fce7264c: High frequency transactions (less than 1 minute interval)
0x4f06535f2e90e906c249c02f77253ad33a4d4d09572cf34d364c80ceeb423f46: High frequency transactions (less than 1 minute interval)
0xda762deaea099ccb424645e7be1da506e800a8aeba230649769b604a2037069e: Regular interval transactions between the same wallets
0x53ecc8390b73f58256db9c8b7e71d8585d5f82a7018d395f3cc701b927a6201d: High frequency transactions (less than 1 minute interval)
0x6c20503e8582db14164cebb8941b7e762b20f26a3f5d85d183859ce0c9c8ef72: High frequency transactions (less than 1 minute interval)
0x127095570f0fdcc3cd6bba3d8d571a04c07005de81c63ce047fedc8082264229: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0xc8cd181217db2b912241246aa9d3d3b7e8e9206473df615f5ff147269e27b528: High frequency transactions (less than 1 minute interval)
0x8b0258a8e7cd582cd5b01261a50cb81379e0104a5af52c9874a17d53a6ab6185: High frequency transactions (less than 1 minute interval)
0xb48047a4e607aacf5281a5d64cf230e70bad848048a0f759a82ea492047e118e: High frequency transactions (less than 1 minute interval)
0x46b89ed146e3d538241448536c16e5abd0807877eacf27df26023ef0ae4290fa: High frequency transactions (less than 1 minute interval)
0xdc7cab6ddac63eeccca4b93fe988e36002c883b3b0105735ab63c37267dff8f2: High frequency transactions (less than 1 minute interval)
0x2ac1b105345d9ec76f5a343c9df314a434a70b491b30aaeed4ef9bea756fd6e8: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x9c8649c…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Related to 76 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 18
Receives funds from exploit address: 0x5af75e...
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0xd07a813…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 35
Receives funds from exploit address: 0xbc3e5e...
Rapid accumulation of large transactions
Very short time between transactions
Related to 71 high-risk transactions (highest score: 100)
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x4f06535…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 35
Receives funds from exploit address: 0xbc3e5e...
Rapid accumulation of large transactions
Very short time between transactions
Related to 71 high-risk transactions (highest score: 100)
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
|
No tags
|
0x53ecc83…
|
43
High
|
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
No tags
|
0xdc7cab6…
|
44
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
No tags
|
0x1da8380…
|
43
High
|
Short time frame between transactions
Related to 3 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
No tags
|
0xda762de…
|
47
High
|
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
|
No tags
|
0x6c20503…
|
85
High
|
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x46b89ed…
|
50
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x1270955…
|
30
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xb48047a…
|
85
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x2ac1b10…
|
47
High
|
Rapid accumulation of large transactions
Related to 33 high-risk transactions (highest score: 100)
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xbeb8e56…
|
56
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Related to 33 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xc8cd181…
|
43
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
No tags
|
0x8b0258a…
|
43
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
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: 15
Medium Risk Activities: 0
Total Flagged Transactions: 15
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 0xc93126005982ad21df73dfc98703cc0455178d60:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 61.07
- Total Suspicious Patterns: 15
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: 2025-07-15 19:09:33 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 15, 2025
Views
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