Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x8573...9fc4
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x8573...9fc4
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Overview
Project Scope
Analysis of wallet 0x85731567d356e50b54411592978f86edf8f49fc4 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x85731567d356e50b54411592978f86edf8f49fc4
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x85731567d356e50b54411592978f86edf8f49fc4
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 11 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 0x85731567d356e50b54411592978f86edf8f49fc4
1. Blockchain Data Retrieval
- Retrieved 11 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 0x85731567d356e50b54411592978f86edf8f49fc4
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 43 Suspicious Transactions: 11
Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 43 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.
0x27b9297f85492e383b83a61578ad92c12d3367dd19f93046921071a209ae4072: Very short time between transactions
0x9a567269aee48d77e550cde1e932b18b16f178892d021843223736716ed733d0: Very short time between transactions
0x671c1ba6a4de971dc44bb54308db26d379955ad9243f6c98f67cd2a001428e6b: Very short time between transactions
0xe990bac5f58ac75c8f04120b9a347d31dc3c673a3a47277826c231b1592547e0: Very short time between transactions
0x61e4c20aa3cc1b13894336ab3926717b97c95571bc6aca0165323d5fc36a0d7b: Very short time between transactions
0x13eb89a540b9946e886b9fd4b86b45a135794214262492679445da70e3d122f5: Very short time between transactions
0x621f1fdf8b6b95048ea97b986cbed02a04df61e0b7695df162bda3d2ec504031: Very short time between transactions
0xff7d798874be13bee11a06ca015da60a9b6bf4eda5298b629ae00b94f8dd7e29: Very short time between transactions
0x993064e4cfc5a07194fcbe41fdeb5738af522d99452bba54a2a6a041542bcd09: Very short time between transactions
0x9a567269aee48d77e550cde1e932b18b16f178892d021843223736716ed733d0: Transaction amount doubled compared to previous transaction
0x671c1ba6a4de971dc44bb54308db26d379955ad9243f6c98f67cd2a001428e6b: Transaction amount doubled compared to previous transaction
0xa05d5661aab6626d03cff05a57cf1d16594de0951eb265218141cfc1b8d210f9: Transaction amount halved compared to previous transaction
0x993064e4cfc5a07194fcbe41fdeb5738af522d99452bba54a2a6a041542bcd09: Transaction amount halved compared to previous transaction
0x27b9297f85492e383b83a61578ad92c12d3367dd19f93046921071a209ae4072: High frequency transactions (less than 1 minute interval)
0x9a567269aee48d77e550cde1e932b18b16f178892d021843223736716ed733d0: High frequency transactions (less than 1 minute interval)
0x671c1ba6a4de971dc44bb54308db26d379955ad9243f6c98f67cd2a001428e6b: High frequency transactions (less than 1 minute interval)
0x18437f9cc0e16967f91b82c135072c85eb22bd14da9dd442beb8e1e5bee993ca: Regular interval transactions between the same wallets
0xe990bac5f58ac75c8f04120b9a347d31dc3c673a3a47277826c231b1592547e0: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x61e4c20aa3cc1b13894336ab3926717b97c95571bc6aca0165323d5fc36a0d7b: High frequency transactions (less than 1 minute interval)
0x13eb89a540b9946e886b9fd4b86b45a135794214262492679445da70e3d122f5: High frequency transactions (less than 1 minute interval)
0x621f1fdf8b6b95048ea97b986cbed02a04df61e0b7695df162bda3d2ec504031: High frequency transactions (less than 1 minute interval)
0xff7d798874be13bee11a06ca015da60a9b6bf4eda5298b629ae00b94f8dd7e29: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x993064e4cfc5a07194fcbe41fdeb5738af522d99452bba54a2a6a041542bcd09: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
11
Average Risk Score
55.45
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x27b9297…
|
100
High
|
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 8
High frequency transactions (less than 1 minute interval)
Low transaction fee
Receives funds from exploit address: 0x6d46bd...
Related to 48 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0x621f1fd…
|
52
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xa05d566…
|
38
Medium
|
Anomaly detected by Isolation Forest
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
|
0x993064e…
|
43
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x9a56726…
|
100
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 8
Low transaction fee
Receives funds from exploit address: 0x6d46bd...
Related to 48 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x18437f9…
|
40
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xe990bac…
|
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
|
0x671c1ba…
|
100
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 8
Low transaction fee
Receives funds from exploit address: 0x6d46bd...
Related to 48 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x61e4c20…
|
40
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x13eb89a…
|
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
|
0xff7d798…
|
37
Medium
|
Short time frame between transactions
Large transaction amount
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
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: 11
Medium Risk Activities: 0
Total Flagged Transactions: 11
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 0x85731567d356e50b54411592978f86edf8f49fc4:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 55.45
- Total Suspicious Patterns: 11
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 09:05:45 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
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