Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xbcdc...0697
Published
15 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xbcdc...0697
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 7 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 0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697
1. Blockchain Data Retrieval
- Retrieved 7 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 0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 27 Suspicious Transactions: 7
Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 27 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.
0xf0d079bf032b817940ac3fb86182cbd30371b7499d1d628c010d93cca2f305a6: Very short time between transactions
0x9745829183d29f9883b9a60e7555b993755d9a3c5fb3dd6ee63ac1350851227a: Very short time between transactions
0x35ffda52e9c60bbb32ddfec99f35e44f90a31d770d8b71ede1b0355968658b30: Very short time between transactions
0x699a80eccd074415a1d7716785e56cfaeee9116dc71428ff6ea04a46e854e25f: Very short time between transactions
0xaa66c9efce3df4d2f781283f6eda36a4994dc19b3d0d22ff8fb635834a3a88f4: Very short time between transactions
0x8b98d68b42c23d5ec59bef321047e06887a0a41458026b7f6c90befe45943b19: Very short time between transactions
0xaa66c9efce3df4d2f781283f6eda36a4994dc19b3d0d22ff8fb635834a3a88f4: Transaction amount significantly lower than average
0xf0d079bf032b817940ac3fb86182cbd30371b7499d1d628c010d93cca2f305a6: High frequency transactions (less than 1 minute interval)
0x9745829183d29f9883b9a60e7555b993755d9a3c5fb3dd6ee63ac1350851227a: High frequency transactions (less than 1 minute interval)
0x35ffda52e9c60bbb32ddfec99f35e44f90a31d770d8b71ede1b0355968658b30: High frequency transactions (less than 1 minute interval)
0x699a80eccd074415a1d7716785e56cfaeee9116dc71428ff6ea04a46e854e25f: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0xaa66c9efce3df4d2f781283f6eda36a4994dc19b3d0d22ff8fb635834a3a88f4: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x8b98d68b42c23d5ec59bef321047e06887a0a41458026b7f6c90befe45943b19: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xf0d079b…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Related to 105 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0xd3c611...
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Part of suspicious wallet community
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 39
|
No tags
|
0x35ffda5…
|
56
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
Related to 6 high-risk transactions (highest score: 85)
Transaction amount significantly lower than average
Part of suspicious wallet community
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x0771c6a…
|
53
High
|
Rapid multi-hop layering pattern detected
Related to 10 high-risk transactions (highest score: 92)
Part of suspicious wallet community
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x9745829…
|
46
High
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Related to 10 high-risk transactions (highest score: 92)
Part of suspicious wallet community
Short time frame between transactions
Regular interval transactions between the same wallets
|
No tags
|
0x699a80e…
|
56
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
Related to 6 high-risk transactions (highest score: 85)
Transaction amount significantly lower than average
Part of suspicious wallet community
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xaa66c9e…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x8b98d68…
|
45
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Related to high-risk transaction ['0x67a124e9d7a9b64317d76d8e5d13760e233a965a088cc8875d26ba3eda8b2e02'] (score: 100)
Transaction amount significantly lower than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled 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: 6
Medium Risk Activities: 0
Total Flagged Transactions: 7
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 0xbcdc8ebd2743084bd8d4a9266f7b03c5c8210697:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 50.86
- Total Suspicious Patterns: 7
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 17:27:14 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
5
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