Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xd8a7...e6ce
Published
15 Jul 2025
3 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xd8a7...e6ce
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 17 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 0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce
1. Blockchain Data Retrieval
- Retrieved 17 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 0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 66 Suspicious Transactions: 17
Key Findings: - Automated analysis detected 17 suspicious transactions - Risk assessment indicates very high risk level - 66 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.
0x558035e73d071440cf3d9d37267835a7cb1510cf690b55fb103a6a05892d3b11: Very short time between transactions
0x58d1381a25c89c4cabf286287861ca381f7f567599c3bb2e20782ddd91e4f38c: Very short time between transactions
0x339844e0726eff48f323faddb9b5e6e37e481327c190fa841ad2131303e63410: Very short time between transactions
0x53865de111c70d43dbfc53b0fb6fdf4eb0f518ac0d2b05f73650a878199ec944: Very short time between transactions
0x2b9c1199e7b083456dcb941e021302bcfa0b5a09e43808a1d07bdf2a18b9ab52: Very short time between transactions
0x98926b08c4648ba90d5f0af5fcaf4009f07d6fddb2148ba417956354dbe5cd36: Very short time between transactions
0xf574fda05db820bbaa5951968282416c424d49c5a4dba559b8efdead9bc14ced: Very short time between transactions
0x03b2e3e7c33199336d31e542091a083b42b6571e7f61e6219c1450fa8592c0fe: Very short time between transactions
0xf58ac32a5aeed10db3f61e7c122a96ad16f9fe94a873868eb64551d6977a876e: Very short time between transactions
0x352a88fa6e9f0e5aa5961e7647b4b29d50cd4af662ccffaa14dbc5740dbec9a8: Very short time between transactions
0x2e5e52d87a105877381e63e50982aef5e3cb9bab60680b5c7bf3d324caac8b9d: Very short time between transactions
0xa5a06b06f7bcec231461ea6bab0eddb846dd057ef94e696a02121f417fac2a8a: Very short time between transactions
0x9ef5f4aecd7c577e1af803eaa2898565f76de8c78723bba9e30dd27621db7cc1: Very short time between transactions
0xbfbbb3573162ebab40553d567604595de2e33a3718b831c08c2e59e398a794d9: Very short time between transactions
0xb5123cc286bfa7257ec6a56eebf3d00dbd3b575360ce323593d8916edba51f89: Very short time between transactions
0x7170da58dcbb00d95cc140131b5240aef2918c079bcbffeeb4e6ece254a7c196: Very short time between transactions
0x558035e73d071440cf3d9d37267835a7cb1510cf690b55fb103a6a05892d3b11: Transaction amount significantly higher than average
0xaf81717c6c2a4a18fe6421c67e9a7bf0786714841e246725fc2736a02c32ed10: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xb5123cc286bfa7257ec6a56eebf3d00dbd3b575360ce323593d8916edba51f89: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x7170da58dcbb00d95cc140131b5240aef2918c079bcbffeeb4e6ece254a7c196: Transaction amount significantly lower than average
0x558035e73d071440cf3d9d37267835a7cb1510cf690b55fb103a6a05892d3b11: High frequency transactions (less than 1 minute interval)
0x339844e0726eff48f323faddb9b5e6e37e481327c190fa841ad2131303e63410: High frequency transactions (less than 1 minute interval)
0x53865de111c70d43dbfc53b0fb6fdf4eb0f518ac0d2b05f73650a878199ec944: High frequency transactions (less than 1 minute interval)
0x2b9c1199e7b083456dcb941e021302bcfa0b5a09e43808a1d07bdf2a18b9ab52: High frequency transactions (less than 1 minute interval)
0x98926b08c4648ba90d5f0af5fcaf4009f07d6fddb2148ba417956354dbe5cd36: High frequency transactions (less than 1 minute interval)
0xf574fda05db820bbaa5951968282416c424d49c5a4dba559b8efdead9bc14ced: High frequency transactions (less than 1 minute interval)
0x03b2e3e7c33199336d31e542091a083b42b6571e7f61e6219c1450fa8592c0fe: High frequency transactions (less than 1 minute interval)
0xf58ac32a5aeed10db3f61e7c122a96ad16f9fe94a873868eb64551d6977a876e: High frequency transactions (less than 1 minute interval)
0x352a88fa6e9f0e5aa5961e7647b4b29d50cd4af662ccffaa14dbc5740dbec9a8: High frequency transactions (less than 1 minute interval)
0x2e5e52d87a105877381e63e50982aef5e3cb9bab60680b5c7bf3d324caac8b9d: High frequency transactions (less than 1 minute interval)
0xa5a06b06f7bcec231461ea6bab0eddb846dd057ef94e696a02121f417fac2a8a: High frequency transactions (less than 1 minute interval)
0x9ef5f4aecd7c577e1af803eaa2898565f76de8c78723bba9e30dd27621db7cc1: High frequency transactions (less than 1 minute interval)
0xbfbbb3573162ebab40553d567604595de2e33a3718b831c08c2e59e398a794d9: High frequency transactions (less than 1 minute interval)
0xb5123cc286bfa7257ec6a56eebf3d00dbd3b575360ce323593d8916edba51f89: High frequency transactions (less than 1 minute interval)
0x7170da58dcbb00d95cc140131b5240aef2918c079bcbffeeb4e6ece254a7c196: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x558035e…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Related to 172 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 54
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Receives funds from exploit address: 0x4571bd...
|
No tags
|
0x339844e…
|
85
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
|
No tags
|
0x2b9c119…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
|
No tags
|
0xf574fda…
|
54
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Related to 2 high-risk transactions (highest score: 100)
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
|
No tags
|
0x352a88f…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xa5a06b0…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xbfbbb35…
|
43
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0x2e5e52d…
|
60
High
|
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Outgoing structuring detected: 3 similar amounts totaling 98.24
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x98926b0…
|
46
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
|
No tags
|
0x58d1381…
|
57
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x53865de…
|
36
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
|
No tags
|
0xf58ac32…
|
61
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Outgoing structuring detected: 3 similar amounts totaling 98.24
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x9ef5f4a…
|
46
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xaf81717…
|
18
Low
|
Repetitive transaction amount
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
|
No tags
|
0xb5123cc…
|
18
Low
|
Repetitive transaction amount
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
|
No tags
|
0x7170da5…
|
18
Low
|
Repetitive transaction amount
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
|
No tags
|
0x03b2e3e…
|
31
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
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: 17
Medium Risk Activities: 0
Total Flagged Transactions: 17
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 0xd8a79ea1805dd58b1fc8a2163fbafa918fa2e6ce:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 47.88
- Total Suspicious Patterns: 17
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: 2025-07-15 21:20:26 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 15, 2025
Views
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