Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x7cb7...c669
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x7cb7...c669
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Overview
Project Scope
Analysis of wallet 0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669
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 0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669
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 0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 35 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 35 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.
0xc2a5c87e65ccb5bcf7f5c1e5b7cf55d5aea95ebd2abe8a6195aebc498ec0df98: Very short time between transactions
0x97a19dc5be6fc29efc1340c7d9a5431dc267103af43a3ead88b8158f01d40a54: Very short time between transactions
0x1006ee6bf605e0912dcbd3de03e6fb1b44ab906296baf06a2117f8a7fd9923ba: Very short time between transactions
0x8e843ac4abf689d68fbc7b30d3fa6d20be66aa9127d813043aff1529b8fcefca: Very short time between transactions
0xc0ba122ef1e8289e847a900b3403fa9a8437c0788fe13be6bd32fea2d0f17930: Very short time between transactions
0x8480f94e4ea3556e14bba2fc06c526d50b1b40d77007694a59e7dab73fac4196: Very short time between transactions
0x4ae690d93c05f5bd47ae4974f11e6ae093ec723e61dde1b33fe7d49dbba7c904: Very short time between transactions
0xa1feacca1d5d1c34093be524f999250d2ffae48b1f76ce47fefe1baab865fb6e: Very short time between transactions
0xc2a5c87e65ccb5bcf7f5c1e5b7cf55d5aea95ebd2abe8a6195aebc498ec0df98: High frequency transactions (less than 1 minute interval)
0x97a19dc5be6fc29efc1340c7d9a5431dc267103af43a3ead88b8158f01d40a54: High frequency transactions (less than 1 minute interval)
0x1006ee6bf605e0912dcbd3de03e6fb1b44ab906296baf06a2117f8a7fd9923ba: High frequency transactions (less than 1 minute interval)
0x8e843ac4abf689d68fbc7b30d3fa6d20be66aa9127d813043aff1529b8fcefca: High frequency transactions (less than 1 minute interval)
0xc0ba122ef1e8289e847a900b3403fa9a8437c0788fe13be6bd32fea2d0f17930: High frequency transactions (less than 1 minute interval)
0x8480f94e4ea3556e14bba2fc06c526d50b1b40d77007694a59e7dab73fac4196: High frequency transactions (less than 1 minute interval)
0x4ae690d93c05f5bd47ae4974f11e6ae093ec723e61dde1b33fe7d49dbba7c904: High frequency transactions (less than 1 minute interval)
0xa1feacca1d5d1c34093be524f999250d2ffae48b1f76ce47fefe1baab865fb6e: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
9
Average Risk Score
47.44
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xc2a5c87…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 33
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Related to 38 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Low transaction fee
Receives funds from exploit address: 0x09278b...
Very short time between transactions
|
No tags
|
0x1006ee6…
|
60
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x8e843ac…
|
40
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xc0ba122…
|
46
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
|
No tags
|
0x8480f94…
|
30
Medium
|
Short time frame between transactions
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
|
0x4ae690d…
|
43
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x118e2b1…
|
42
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Related to 77 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x97a19dc…
|
54
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
|
No tags
|
0xa1feacc…
|
48
High
|
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
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: 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 0x7cb7d4cbdca16470010f7a5026f9647a8cb8c669:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 51.44
- 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 08:15:15 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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