Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf75e...ed80
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf75e...ed80
Overview
Project Scope
Analysis of wallet 0xf75e6019e2fe97435bccf018a87f476ab357ed80 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf75e6019e2fe97435bccf018a87f476ab357ed80
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf75e6019e2fe97435bccf018a87f476ab357ed80
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 0xf75e6019e2fe97435bccf018a87f476ab357ed80
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 0xf75e6019e2fe97435bccf018a87f476ab357ed80
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.
0xdd844974758ad593c4511d2bf84c51b0b310bf5bb92571db0435d89a36b1a561: Very short time between transactions
0x3c5be00a1a4f8d4dc61bf775b39ca48750fdf86dc9bd1f3678fd7c2a73f7ff11: Very short time between transactions
0x3970dc36a7645f2394f016efb1665444705de417c5e3eb06070e928a9d39e0be: Very short time between transactions
0xc5b7ac653b42aa8d22ed0f538dec2584c9aa2f5de2a814a74a90f8294e56c648: Very short time between transactions
0x16a6f4971eb1e4b6a2c9b6d9b5a23dbf00d7720483733edee245d6a34dcf8ccf: Very short time between transactions
0xaae7c7aee6ad5bddd0d1f74f5e43db43e41ed21cad07b43392b7d0c64d4abee3: Very short time between transactions
0xf1187aa5c0bf6e46ae52858d53dd2dcc0a4eaf95ce50b38685ed21d86867025d: Very short time between transactions
0x833be90364e54560cabd37476fcfe288b9e9707a728dfe17fce6505e1ce419db: Very short time between transactions
0xa4edfab00058669d5da6901573edd2a4b60305ba1744c3ecdcc4b3ce926afa26: Very short time between transactions
0x6ddf20d1411f6d0a12bba85cfbb905e55e9350dcc2bdc0b1eb5bc2b568f65000: Very short time between transactions
0x501ef03fd313022559c66552a67c2335687477f2f21ecf86ea286fa554532261: Very short time between transactions
0xfff9fd15b1bfbbaba978e7083fede4513c5d9fceaa720c58db23b7b4182d2489: Very short time between transactions
0xbf6183160bb7b0fa9975e5b5f73e01194b1feeb0de5616abf04d59c744cd1f3c: Very short time between transactions
0x76363110e9c86c5ed6b7c502a38b55070440a04da7b139b513add37973ab2602: Transaction amount doubled compared to previous transaction
0x833be90364e54560cabd37476fcfe288b9e9707a728dfe17fce6505e1ce419db: Transaction amount halved compared to previous transaction
0x6ddf20d1411f6d0a12bba85cfbb905e55e9350dcc2bdc0b1eb5bc2b568f65000: Transaction amount halved compared to previous transaction
0xdd844974758ad593c4511d2bf84c51b0b310bf5bb92571db0435d89a36b1a561: High frequency transactions (less than 1 minute interval)
0x3c5be00a1a4f8d4dc61bf775b39ca48750fdf86dc9bd1f3678fd7c2a73f7ff11: High frequency transactions (less than 1 minute interval)
0x3970dc36a7645f2394f016efb1665444705de417c5e3eb06070e928a9d39e0be: High frequency transactions (less than 1 minute interval)
0xc5b7ac653b42aa8d22ed0f538dec2584c9aa2f5de2a814a74a90f8294e56c648: High frequency transactions (less than 1 minute interval)
0x16a6f4971eb1e4b6a2c9b6d9b5a23dbf00d7720483733edee245d6a34dcf8ccf: High frequency transactions (less than 1 minute interval)
0xaae7c7aee6ad5bddd0d1f74f5e43db43e41ed21cad07b43392b7d0c64d4abee3: High frequency transactions (less than 1 minute interval)
0xf1187aa5c0bf6e46ae52858d53dd2dcc0a4eaf95ce50b38685ed21d86867025d: High frequency transactions (less than 1 minute interval)
0x833be90364e54560cabd37476fcfe288b9e9707a728dfe17fce6505e1ce419db: High frequency transactions (less than 1 minute interval)
0xa4edfab00058669d5da6901573edd2a4b60305ba1744c3ecdcc4b3ce926afa26: High frequency transactions (less than 1 minute interval)
0x6ddf20d1411f6d0a12bba85cfbb905e55e9350dcc2bdc0b1eb5bc2b568f65000: High frequency transactions (less than 1 minute interval)
0x501ef03fd313022559c66552a67c2335687477f2f21ecf86ea286fa554532261: High frequency transactions (less than 1 minute interval)
0xfff9fd15b1bfbbaba978e7083fede4513c5d9fceaa720c58db23b7b4182d2489: High frequency transactions (less than 1 minute interval)
0xbf6183160bb7b0fa9975e5b5f73e01194b1feeb0de5616abf04d59c744cd1f3c: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x3970dc3…
|
83
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
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0xaae7c7a…
|
29
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
0x6ddf20d…
|
47
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Rapid multi-hop layering pattern detected
Outgoing structuring detected: 3 similar amounts totaling 120.17
|
0x833be90…
|
42
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0xa4edfab…
|
49
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
|
0x501ef03…
|
72
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Anomaly detected by Isolation Forest
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)
|
0xdd84497…
|
44
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 4 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
|
0xa408c55…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 110 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 8
Receives funds from exploit address: 0x6d46bd...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0x7636311…
|
100
High
|
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 110 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 8
Transaction amount significantly higher than average
Receives funds from exploit address: 0x6d46bd...
|
0xfff9fd1…
|
39
Medium
|
Low transaction fee
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
Outgoing structuring detected: 3 similar amounts totaling 120.17
|
0xbf61831…
|
42
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Outgoing structuring detected: 3 similar amounts totaling 120.17
|
0x3c5be00…
|
43
High
|
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
|
0xc5b7ac6…
|
47
High
|
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)
|
0x16a6f49…
|
67
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
|
0xf1187aa…
|
45
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
|
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 0xf75e6019e2fe97435bccf018a87f476ab357ed80:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 56.60
- 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 01:56:50 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
6
Likes
0