Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xfea1...f7ee
Published
16 Jul 2025
8 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xfea1...f7ee
Overview
Project Scope
Analysis of wallet 0xfea1f0404b847d72509d657597cbf8bbc014f7ee - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xfea1f0404b847d72509d657597cbf8bbc014f7ee
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xfea1f0404b847d72509d657597cbf8bbc014f7ee
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 0xfea1f0404b847d72509d657597cbf8bbc014f7ee
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 0xfea1f0404b847d72509d657597cbf8bbc014f7ee
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 54 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 54 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.
0x090069bc78815bf44b973b2557e11a24401984323070cd0bc86bc101bae4d99b: Very short time between transactions
0xa238e2b9f62af9756b5699324e1113f6883d49c0e7b4757e77d66c428c08acc9: Very short time between transactions
0x5a322f580f7100825dac748422131e7183b2d8b5eaec2f193763b2103f8cc02e: Very short time between transactions
0x737c3ea331d6cb0ef7107083415ce93f7d06a57073410cc79488f2b2b4ea8e9c: Very short time between transactions
0x9ecbe41e5711930a9b49a70eb0b4092919150538a7e4f5ca1bbf8d763acec411: Very short time between transactions
0xdfb60dd68f8486f6755caf04f7b8fd35e363dcd15e41dbbad0e394bbc246c261: Very short time between transactions
0x156e7d33afdd2dae0966b4b6c4a37ff3e6f1d8ff1e111c0eac404aebe9637be3: Very short time between transactions
0x2c9633e786f93ebe02322ae1d724374e481e5086bc5a4f9b4030b681b5d47be7: Very short time between transactions
0x35d647d7b0ab3346469d7127eb7a0a0019900c6734efb27452eecdd9e600c114: Very short time between transactions
0xb90a2688d9554f1b1cb67a97cb74a29fcd293f717e09b189f7a0b7a2ca10322e: Very short time between transactions
0x1a207f1c4a7cb0cf7705a4dc9def44d0b5d810408f3a29428410479f850cc22b: Very short time between transactions
0xcd4185393a103af7f2a6e8a8202813659e50c662bedaebc932376f09234a40c9: Very short time between transactions
0x0016d40f61a310d501ee6f6a704c09722530d70c5dd7eaa97aec20e00976a4c0: Very short time between transactions
0x090069bc78815bf44b973b2557e11a24401984323070cd0bc86bc101bae4d99b: High frequency transactions (less than 1 minute interval)
0xdfb60dd68f8486f6755caf04f7b8fd35e363dcd15e41dbbad0e394bbc246c261: High frequency transactions (less than 1 minute interval)
0x156e7d33afdd2dae0966b4b6c4a37ff3e6f1d8ff1e111c0eac404aebe9637be3: High frequency transactions (less than 1 minute interval)
0x2c9633e786f93ebe02322ae1d724374e481e5086bc5a4f9b4030b681b5d47be7: High frequency transactions (less than 1 minute interval)
0x35d647d7b0ab3346469d7127eb7a0a0019900c6734efb27452eecdd9e600c114: High frequency transactions (less than 1 minute interval)
0xb90a2688d9554f1b1cb67a97cb74a29fcd293f717e09b189f7a0b7a2ca10322e: High frequency transactions (less than 1 minute interval)
0x1a207f1c4a7cb0cf7705a4dc9def44d0b5d810408f3a29428410479f850cc22b: High frequency transactions (less than 1 minute interval)
0xcd4185393a103af7f2a6e8a8202813659e50c662bedaebc932376f09234a40c9: High frequency transactions (less than 1 minute interval)
0x0016d40f61a310d501ee6f6a704c09722530d70c5dd7eaa97aec20e00976a4c0: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xb0be770…
|
51
High
|
Low transaction fee
Large transaction amount
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Transaction amount significantly higher than average
|
0x9ecbe41…
|
57
High
|
Low transaction fee
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
Transaction amount significantly higher than average
|
0x5a322f5…
|
56
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
Transaction amount significantly higher than average
|
0xc54cbdd…
|
38
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
0x090069b…
|
100
High
|
Low transaction fee
Large transaction amount
Related to 225 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 22
Very short time between transactions
Receives funds from exploit address: 0xfc9266...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0xa238e2b…
|
49
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
0x737c3ea…
|
60
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
0xdfb60dd…
|
51
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
0x156e7d3…
|
48
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0x2c9633e…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
|
0x35d647d…
|
44
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0xb90a268…
|
51
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0x1a207f1…
|
51
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0xcd41853…
|
42
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
|
0x0016d40…
|
27
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Repetitive transaction amount
|
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 0xfea1f0404b847d72509d657597cbf8bbc014f7ee:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 51.20
- 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: 2025-07-16 03:02:34 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
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