Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xadf5...97e6
Published
14 Jul 2025
3 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xadf5...97e6
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xadf5e0e4f1d714877f1ee0a8174039de862397e6 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xadf5e0e4f1d714877f1ee0a8174039de862397e6
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xadf5e0e4f1d714877f1ee0a8174039de862397e6
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 0xadf5e0e4f1d714877f1ee0a8174039de862397e6
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 0xadf5e0e4f1d714877f1ee0a8174039de862397e6
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 46 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 46 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.
0x93e63dc01c8391fb7a1885783ecab25dc89015b90c6eba50136d0e66bf1ba09f: Very short time between transactions
0x49764c9a511a6677512e60312005b5518aa538aff2bdd8703a0b0a585952200c: Very short time between transactions
0xf66fa48e45f1976a6b7be3647028d314b5d70dcd82548ac6736cec3fb2d937ff: Very short time between transactions
0x64cc3b3a9c3f58e2a19fa78e2833721a62e39790b1e68e5f9a8cb7baf7148b82: Very short time between transactions
0x33d78e72a2eb295e40a2ed033ff5ee7c398334ba42728ac9da7398bae6c10090: Very short time between transactions
0xdb64bdfc6492ab57dba702375c84df5c53c6ff30c5d48613f70dc0ccab0b46e8: Very short time between transactions
0x9e26b0ee61f342482e86fe2cfe5df80d14166c88f4a249a781e9de9bd32f87ff: Very short time between transactions
0xba97a127b43efe0566bc20c2e1c88c1e8741656838b39ffbc9483346071ba3f8: Very short time between transactions
0x74d69c03fc0494eb77407cbd72c82a0823db9eac9b70c203925e79d1f6f8f5a8: Very short time between transactions
0xf4a9d074993a8ff56408825e608de2852a0b920f21223e7432d5e2db83755d07: Very short time between transactions
0x93e63dc01c8391fb7a1885783ecab25dc89015b90c6eba50136d0e66bf1ba09f: Transaction amount doubled compared to previous transaction
0x93e63dc01c8391fb7a1885783ecab25dc89015b90c6eba50136d0e66bf1ba09f: High frequency transactions (less than 1 minute interval)
0x49764c9a511a6677512e60312005b5518aa538aff2bdd8703a0b0a585952200c: High frequency transactions (less than 1 minute interval)
0xf66fa48e45f1976a6b7be3647028d314b5d70dcd82548ac6736cec3fb2d937ff: High frequency transactions (less than 1 minute interval)
0x64cc3b3a9c3f58e2a19fa78e2833721a62e39790b1e68e5f9a8cb7baf7148b82: High frequency transactions (less than 1 minute interval)
0x33d78e72a2eb295e40a2ed033ff5ee7c398334ba42728ac9da7398bae6c10090: High frequency transactions (less than 1 minute interval)
0xdb64bdfc6492ab57dba702375c84df5c53c6ff30c5d48613f70dc0ccab0b46e8: High frequency transactions (less than 1 minute interval)
0x9e26b0ee61f342482e86fe2cfe5df80d14166c88f4a249a781e9de9bd32f87ff: High frequency transactions (less than 1 minute interval)
0xba97a127b43efe0566bc20c2e1c88c1e8741656838b39ffbc9483346071ba3f8: High frequency transactions (less than 1 minute interval)
0x74d69c03fc0494eb77407cbd72c82a0823db9eac9b70c203925e79d1f6f8f5a8: High frequency transactions (less than 1 minute interval)
0xf4a9d074993a8ff56408825e608de2852a0b920f21223e7432d5e2db83755d07: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x49764c9…
|
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
|
0xf66fa48…
|
51
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.67
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xf849d97…
|
51
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.67
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x64cc3b3…
|
65
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.67
Very short time between transactions
|
No tags
|
0x33d78e7…
|
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
|
0xdb64bdf…
|
66
High
|
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x9e26b0e…
|
40
High
|
Short time frame between transactions
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xddfbea4…
|
43
High
|
Short time frame between transactions
Part of coordinated wallet cluster
Low transaction fee
Related to 2 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xba97a12…
|
41
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
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
|
0x74d69c0…
|
41
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
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
|
0xf4a9d07…
|
40
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x93e63dc…
|
100
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 15
Low transaction fee
Receives funds from exploit address: 0x229093...
Related to 124 high-risk transactions (highest score: 100)
Very short time between transactions
|
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: 12
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 0xadf5e0e4f1d714877f1ee0a8174039de862397e6:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 52.33
- 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: 2025-07-14 13:18:46 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
Views
3
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