Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcce5...1ec6
Published
15 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcce5...1ec6
Overview
Project Scope
Analysis of wallet 0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 10 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 0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6
1. Blockchain Data Retrieval
- Retrieved 10 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 0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10
Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0xd0850c270f40c8c3da611cf6dfcc1b6a4b551b85e34d8ccaa5e2581c3beff9cc: Very short time between transactions
0xa03409b427e112d4c8a0e7f56465e2eabb144f87b3a606dda6da1fc20373881e: Very short time between transactions
0x855fd07a967feaa47370ebdd08b7f0ae2e0207b30b73acf0aa8b2e65e9ade2d8: Very short time between transactions
0x80c9c1e3ad7e51570813db2149b2d41e7226397b09550e323cd30f7d3b489391: Very short time between transactions
0xec55c16eca56cb1b149355081eb8ec8331a58ab627838008b71feb9dbc3887d9: Very short time between transactions
0x5654b93530f846a30785338a1cfa17a21e2bcb2e3c2943066ba74b77a2ef1df9: Very short time between transactions
0x80b43a997ae0a4644219b91fff3585d11194ebeb1549e56649137e9cff3d9517: Very short time between transactions
0xb8de8046ee65745e668c9f49234951401a20508823f254dcf6c7475a6a476cc7: Very short time between transactions
0xeb22d194cca8b61cd5cb3890eeabcc25d08b97c2e788f175b4fe84f406c30d69: Very short time between transactions
0xd0850c270f40c8c3da611cf6dfcc1b6a4b551b85e34d8ccaa5e2581c3beff9cc: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0x855fd07a967feaa47370ebdd08b7f0ae2e0207b30b73acf0aa8b2e65e9ade2d8: Transaction amount doubled compared to previous transaction
0x80c9c1e3ad7e51570813db2149b2d41e7226397b09550e323cd30f7d3b489391: Transaction amount doubled compared to previous transaction
0xbbaa2a12534ebd7fc03aa76ed94f2f97013eb8385a5511072982d137fe3997da: Transaction amount significantly lower than average
0x5654b93530f846a30785338a1cfa17a21e2bcb2e3c2943066ba74b77a2ef1df9: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xeb22d194cca8b61cd5cb3890eeabcc25d08b97c2e788f175b4fe84f406c30d69: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0xd0850c270f40c8c3da611cf6dfcc1b6a4b551b85e34d8ccaa5e2581c3beff9cc: High frequency transactions (less than 1 minute interval)
0xa03409b427e112d4c8a0e7f56465e2eabb144f87b3a606dda6da1fc20373881e: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x855fd07a967feaa47370ebdd08b7f0ae2e0207b30b73acf0aa8b2e65e9ade2d8: High frequency transactions (less than 1 minute interval)
0x80c9c1e3ad7e51570813db2149b2d41e7226397b09550e323cd30f7d3b489391: High frequency transactions (less than 1 minute interval)
0xec55c16eca56cb1b149355081eb8ec8331a58ab627838008b71feb9dbc3887d9: High frequency transactions (less than 1 minute interval)
0x5654b93530f846a30785338a1cfa17a21e2bcb2e3c2943066ba74b77a2ef1df9: High frequency transactions (less than 1 minute interval)
0x80b43a997ae0a4644219b91fff3585d11194ebeb1549e56649137e9cff3d9517: High frequency transactions (less than 1 minute interval)
0xb8de8046ee65745e668c9f49234951401a20508823f254dcf6c7475a6a476cc7: High frequency transactions (less than 1 minute interval)
0xeb22d194cca8b61cd5cb3890eeabcc25d08b97c2e788f175b4fe84f406c30d69: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xbbaa2a1…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0x5654b93…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0xa03409b…
|
45
High
|
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
0x80b43a9…
|
25
Medium
|
Repetitive transaction amount
Very short time between transactions
Related to 6 high-risk transactions (highest score: 85)
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
|
0xb8de804…
|
25
Medium
|
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Related to 26 high-risk transactions (highest score: 93)
Short time frame between transactions
|
0xeb22d19…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 30
Sends funds to exploit address: 0xaf620e...
Address became active after a long inactive period
Related to 133 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
0x855fd07…
|
26
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
|
0x80c9c1e…
|
34
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Regular interval transactions between the same wallets
|
0xec55c16…
|
34
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Regular interval transactions between the same wallets
|
0xd0850c2…
|
85
High
|
Standard mixer amount detected
Very short time between transactions
Related to 15 high-risk transactions (highest score: 94)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
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: 8
Medium Risk Activities: 0
Total Flagged Transactions: 10
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 0xcce5af50b01a0a2dd0f3208fe5e75bdfd5061ec6:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 37.40
- Total Suspicious Patterns: 10
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 19:40:50 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 15, 2025
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