Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xac37...0ed0
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xac37...0ed0
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Overview
Project Scope
Analysis of wallet 0xac374b01b5af74b300c832030d41941e4aa60ed0 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xac374b01b5af74b300c832030d41941e4aa60ed0
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xac374b01b5af74b300c832030d41941e4aa60ed0
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 0xac374b01b5af74b300c832030d41941e4aa60ed0
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 0xac374b01b5af74b300c832030d41941e4aa60ed0
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.
0x7e8e0d1f4b7038a35a89bccb78d259cffbde2355fd70872b125b87acebf88c67: Very short time between transactions
0xb9a789e7c5ab1f2cb30e9eea6b44944cf9fd4b8dd5e3765c5d002f577badeffe: Very short time between transactions
0x354605e5486690232aa706a0ec0155a75a7912b09a974b523b94465475c82abb: Very short time between transactions
0x0df17045fa1c69f9c2843d1d11ba59f8bd4b729531d26d5d3d26b3cfad61c863: Very short time between transactions
0xe31c5944d3ed05a4fc28e4468e3d684b50a468038a95bfd125b3b32805979915: Very short time between transactions
0x2b6e2589ccbea7fab66fdc3045ead1335bdfa7cf2539a5a4981309b5ea68b4da: Very short time between transactions
0xd608cc60af044ad00850fa76bd48a78583fbe2e6c4949c651fc9e7621df0eeac: Very short time between transactions
0x7a2a73de8b3d1716f2332dc0f69e21fb6dfe369612f876850558fd0394b1c14f: Very short time between transactions
0x2058165dafe4f71ab81a11d2e5bd308b7c33290a5c22eebfc1bf7b8f0bf88b50: Very short time between transactions
0x28d04cb6c8d62446d1dcbbb754420c7f1942225d7fd044f24f70fc6d61b1c8ec: Very short time between transactions
0x7a2a73de8b3d1716f2332dc0f69e21fb6dfe369612f876850558fd0394b1c14f: Transaction amount halved compared to previous transaction
0x7e8e0d1f4b7038a35a89bccb78d259cffbde2355fd70872b125b87acebf88c67: High frequency transactions (less than 1 minute interval)
0xb9a789e7c5ab1f2cb30e9eea6b44944cf9fd4b8dd5e3765c5d002f577badeffe: High frequency transactions (less than 1 minute interval)
0x354605e5486690232aa706a0ec0155a75a7912b09a974b523b94465475c82abb: High frequency transactions (less than 1 minute interval)
0x0df17045fa1c69f9c2843d1d11ba59f8bd4b729531d26d5d3d26b3cfad61c863: High frequency transactions (less than 1 minute interval)
0xe31c5944d3ed05a4fc28e4468e3d684b50a468038a95bfd125b3b32805979915: High frequency transactions (less than 1 minute interval)
0x2b6e2589ccbea7fab66fdc3045ead1335bdfa7cf2539a5a4981309b5ea68b4da: High frequency transactions (less than 1 minute interval)
0xd608cc60af044ad00850fa76bd48a78583fbe2e6c4949c651fc9e7621df0eeac: High frequency transactions (less than 1 minute interval)
0x7a2a73de8b3d1716f2332dc0f69e21fb6dfe369612f876850558fd0394b1c14f: High frequency transactions (less than 1 minute interval)
0x2058165dafe4f71ab81a11d2e5bd308b7c33290a5c22eebfc1bf7b8f0bf88b50: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x28d04cb6c8d62446d1dcbbb754420c7f1942225d7fd044f24f70fc6d61b1c8ec: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
11
Average Risk Score
51.91
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x2b6e258…
|
56
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x7a2a73d…
|
40
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x354605e…
|
39
Medium
|
Short time frame between transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
|
No tags
|
0x0df1704…
|
61
High
|
Short time frame between transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x28d04cb…
|
58
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Transaction amount significantly lower than average
Very short time between transactions
|
No tags
|
0x7e8e0d1…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 33
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Related to 64 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0x09278b...
Very short time between transactions
|
No tags
|
0xec3f861…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xb9a789e…
|
33
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xe31c594…
|
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
|
0xd608cc6…
|
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
|
0x2058165…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
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: 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 0xac374b01b5af74b300c832030d41941e4aa60ed0:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 54.09
- 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 13:08:02 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
8
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