Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xfa99...d9f4
Published
16 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xfa99...d9f4
Overview
Project Scope
Analysis of wallet 0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 12 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 0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4
1. Blockchain Data Retrieval
- Retrieved 12 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 0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 45 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 45 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.
0xf56bff2f2aaf7aeaeff15ad5d8e9a93777150d29c7e9ab711e5a6351a8be3cbf: Very short time between transactions
0xda4bbfaa862c8ae57170f6ee0552f0fc3d1b4f673384bb24d1749ca37fb5ffd6: Very short time between transactions
0x1987b1be06249f27f49b1402cabc5c4890e0ec6d44c2b79c7fdaeb3f02953435: Very short time between transactions
0x633f1d09dc36ed7f3a3cab122456a424531a45b687b5b68974a743d9217b842b: Very short time between transactions
0xc93ade4231b9a1eeb1b9aebb7d73a579288a1e0050c58aef0f589f2a992411f5: Very short time between transactions
0x856b2efdc78ffb3f2dcac7087f0be9c88c18a4397d27592db0a347402ac1c9cd: Very short time between transactions
0x6693170688353775e8a99e56cb532c621fb4697accf02d75d8d35ec36d4648e9: Very short time between transactions
0xd5b3d99e6739fc8a262e0c8c425d4c211be485ca536bf180c8d4bf722409d66a: Very short time between transactions
0xd4bf77907b71dcda223e11130904d007d9baf3f5a858daee9be4c555c3e2001a: Very short time between transactions
0xfda0d19d3cc8179343b0a2b167599792badd159eafca13533f91213de534b46c: Very short time between transactions
0xda4bbfaa862c8ae57170f6ee0552f0fc3d1b4f673384bb24d1749ca37fb5ffd6: Transaction amount doubled compared to previous transaction
0x856b2efdc78ffb3f2dcac7087f0be9c88c18a4397d27592db0a347402ac1c9cd: Transaction amount doubled compared to previous transaction
0xd5b3d99e6739fc8a262e0c8c425d4c211be485ca536bf180c8d4bf722409d66a: Transaction amount significantly lower than average
0xd4bf77907b71dcda223e11130904d007d9baf3f5a858daee9be4c555c3e2001a: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0xf56bff2f2aaf7aeaeff15ad5d8e9a93777150d29c7e9ab711e5a6351a8be3cbf: High frequency transactions (less than 1 minute interval)
0xda4bbfaa862c8ae57170f6ee0552f0fc3d1b4f673384bb24d1749ca37fb5ffd6: High frequency transactions (less than 1 minute interval)
0x633f1d09dc36ed7f3a3cab122456a424531a45b687b5b68974a743d9217b842b: High frequency transactions (less than 1 minute interval)
0xc93ade4231b9a1eeb1b9aebb7d73a579288a1e0050c58aef0f589f2a992411f5: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x856b2efdc78ffb3f2dcac7087f0be9c88c18a4397d27592db0a347402ac1c9cd: High frequency transactions (less than 1 minute interval)
0x6693170688353775e8a99e56cb532c621fb4697accf02d75d8d35ec36d4648e9: High frequency transactions (less than 1 minute interval)
0xd5b3d99e6739fc8a262e0c8c425d4c211be485ca536bf180c8d4bf722409d66a: High frequency transactions (less than 1 minute interval)
0xd4bf77907b71dcda223e11130904d007d9baf3f5a858daee9be4c555c3e2001a: High frequency transactions (less than 1 minute interval)
0xfda0d19d3cc8179343b0a2b167599792badd159eafca13533f91213de534b46c: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x22195df…
|
39
Medium
|
Low transaction fee
Large transaction amount
Anomaly detected by Isolation Forest
Very short time between transactions
Related to high-risk transaction ['0xd85ed9f1af4d9369b9c09fc8a1ebf5a87256decf55134270ce52c61b72608f17'] (score: 100)
High frequency transactions (less than 1 minute interval)
|
0x0c09462…
|
57
High
|
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Rapid multi-hop layering pattern detected
Related to 275 high-risk transactions (highest score: 100)
|
0x633f1d0…
|
85
High
|
Large transaction amount
Transaction amount doubled compared to previous transaction
Round amount consistent with mixer
Rapid accumulation of large transactions
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Related to 275 high-risk transactions (highest score: 100)
|
0xda4bbfa…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to 217 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 22
Receives funds from exploit address: 0xfc9266...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0xfda0d19…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 5 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
|
0xf56bff2…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to 217 high-risk transactions (highest score: 100)
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 22
Receives funds from exploit address: 0xfc9266...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0xc93ade4…
|
85
High
|
Large transaction amount
Round amount consistent with mixer
Rapid accumulation of large transactions
Short time frame between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Related to 275 high-risk transactions (highest score: 100)
|
0x6693170…
|
38
Medium
|
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Related to 275 high-risk transactions (highest score: 100)
|
0x1987b1b…
|
46
High
|
Related to 8 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
0x856b2ef…
|
46
High
|
Related to 8 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
0xd5b3d99…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0xd4bf779…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 12
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 0xfa993c7045b8ab52a2d460943c9fbe0d0631d9f4:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 53.25
- Total Suspicious Patterns: 12
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: 2025-07-16 02:24:50 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 16, 2025
Views
7
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