Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc2d6...48c5
Published
15 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc2d6...48c5
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xc2d611f6f43afb8a6f18494eb1e49096621148c5 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xc2d611f6f43afb8a6f18494eb1e49096621148c5
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xc2d611f6f43afb8a6f18494eb1e49096621148c5
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 22 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 0xc2d611f6f43afb8a6f18494eb1e49096621148c5
1. Blockchain Data Retrieval
- Retrieved 22 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 0xc2d611f6f43afb8a6f18494eb1e49096621148c5
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 87 Suspicious Transactions: 22
Key Findings: - Automated analysis detected 22 suspicious transactions - Risk assessment indicates very high risk level - 87 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.
0x42f0d14cdee1fddf703a43d211f9be0e237154ab95c80bd23b491614b71d1e3e: Very short time between transactions
0x553d08b7a019c41c5db33103f2b114555deaea67d37cb6298b6c6b7954fd23d9: Very short time between transactions
0x57a9a157e95b719e0a2ddf57591259dbbf0be2b7bbf5fbb39010a20f322e6ccb: Very short time between transactions
0xde78288a59d358ba5ef2b2b9aae0e08cbe618ba204dfc880f35b3723f409f7da: Very short time between transactions
0x810f6d505058c6359828d415f5993e7806f04d68f5262718fbba540cd523f883: Very short time between transactions
0xacbf42b5083d10204be83680e835794f9823fe1237dc12521337e4a9f0c2b9f4: Very short time between transactions
0x67797c6d4aee37c45085915e3411468266956ea4afea47458b355c9dfef077c5: Very short time between transactions
0xc46890f352ad92b948fdadbd7c46b0a47c9e44d9ad2b0c9cc73b425f5555d278: Very short time between transactions
0xe26097f280d6c88bfc1d4a3934b3e5a06d41d17faef2bb5765d87ae497d3b96f: Transaction amount significantly higher than user average, Very short time between transactions
0x0234e951c2f0b4aa6172fde80628e1833502249111f4d9f31f0632074b2847c7: Very short time between transactions
0x8891c30c1f744940af3f9e4145f3c5acec0a2e10adda0a00fb62fea2935ebb6f: Very short time between transactions
0x32d42d3bb9986ae1c96058a77392e0096fcde8e7e22eccf8a9faee1ef7ed6939: Very short time between transactions
0x4d217b142e393a64f62c8d69819b47fb9512dc366ccd132dd827d8b4a8172111: Very short time between transactions
0xd754d018ea62b561c54f8c5d2b5ddec214fd0402720675b5dfb4741e9146285f: Very short time between transactions
0xbf9460c6908671ed92a440b389079cf1364d246c1ac042d53dd536b553759c94: Very short time between transactions
0xf3134a0e79ca8917a0d14b83a18295ea0acc8d26e07dc2f0d2ecf205beeda266: Very short time between transactions
0x47ff4dde3a87764f60043cc62d2399d7f6d57f67bec966244569994afe6a031e: Very short time between transactions
0xa67209d9fbb9a3b6405cb4cc1bafcb195a9ce571708308a3803c71b29e924ad1: Very short time between transactions
0x256ade64cfaa10ce2b68a229b2c223926748f3f22e2e2a1257b6fc9b34f994e5: Very short time between transactions
0xcebcbba445db6ec2202feb8af538abef20caad8c137483190cf3cfdaf6a519cd: Transaction amount significantly higher than user average, Very short time between transactions
0x29d962d9268884874720cec8174d6eba85850e9f7f1529c90b31d68034c3b3a6: Very short time between transactions
0x42f0d14cdee1fddf703a43d211f9be0e237154ab95c80bd23b491614b71d1e3e: Transaction amount significantly lower than average
0x553d08b7a019c41c5db33103f2b114555deaea67d37cb6298b6c6b7954fd23d9: Transaction amount doubled compared to previous transaction
0x57a9a157e95b719e0a2ddf57591259dbbf0be2b7bbf5fbb39010a20f322e6ccb: Transaction amount doubled compared to previous transaction
0x810f6d505058c6359828d415f5993e7806f04d68f5262718fbba540cd523f883: Transaction amount doubled compared to previous transaction
0xacbf42b5083d10204be83680e835794f9823fe1237dc12521337e4a9f0c2b9f4: Transaction amount doubled compared to previous transaction
0xc46890f352ad92b948fdadbd7c46b0a47c9e44d9ad2b0c9cc73b425f5555d278: Transaction amount halved compared to previous transaction
0xe26097f280d6c88bfc1d4a3934b3e5a06d41d17faef2bb5765d87ae497d3b96f: Transaction amount significantly higher than average
0x0234e951c2f0b4aa6172fde80628e1833502249111f4d9f31f0632074b2847c7: Transaction amount significantly lower than average
0x8891c30c1f744940af3f9e4145f3c5acec0a2e10adda0a00fb62fea2935ebb6f: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x4d217b142e393a64f62c8d69819b47fb9512dc366ccd132dd827d8b4a8172111: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xd754d018ea62b561c54f8c5d2b5ddec214fd0402720675b5dfb4741e9146285f: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xf3134a0e79ca8917a0d14b83a18295ea0acc8d26e07dc2f0d2ecf205beeda266: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x47ff4dde3a87764f60043cc62d2399d7f6d57f67bec966244569994afe6a031e: Transaction amount significantly higher than average
0xa67209d9fbb9a3b6405cb4cc1bafcb195a9ce571708308a3803c71b29e924ad1: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x256ade64cfaa10ce2b68a229b2c223926748f3f22e2e2a1257b6fc9b34f994e5: Transaction amount significantly lower than average
0xcebcbba445db6ec2202feb8af538abef20caad8c137483190cf3cfdaf6a519cd: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0x42f0d14cdee1fddf703a43d211f9be0e237154ab95c80bd23b491614b71d1e3e: High frequency transactions (less than 1 minute interval)
0x553d08b7a019c41c5db33103f2b114555deaea67d37cb6298b6c6b7954fd23d9: High frequency transactions (less than 1 minute interval)
0x57a9a157e95b719e0a2ddf57591259dbbf0be2b7bbf5fbb39010a20f322e6ccb: High frequency transactions (less than 1 minute interval)
0xde78288a59d358ba5ef2b2b9aae0e08cbe618ba204dfc880f35b3723f409f7da: High frequency transactions (less than 1 minute interval)
0x810f6d505058c6359828d415f5993e7806f04d68f5262718fbba540cd523f883: High frequency transactions (less than 1 minute interval)
0xacbf42b5083d10204be83680e835794f9823fe1237dc12521337e4a9f0c2b9f4: High frequency transactions (less than 1 minute interval)
0x67797c6d4aee37c45085915e3411468266956ea4afea47458b355c9dfef077c5: High frequency transactions (less than 1 minute interval)
0xc46890f352ad92b948fdadbd7c46b0a47c9e44d9ad2b0c9cc73b425f5555d278: High frequency transactions (less than 1 minute interval)
0xe26097f280d6c88bfc1d4a3934b3e5a06d41d17faef2bb5765d87ae497d3b96f: High frequency transactions (less than 1 minute interval)
0x0234e951c2f0b4aa6172fde80628e1833502249111f4d9f31f0632074b2847c7: High frequency transactions (less than 1 minute interval)
0x8891c30c1f744940af3f9e4145f3c5acec0a2e10adda0a00fb62fea2935ebb6f: High frequency transactions (less than 1 minute interval)
0x32d42d3bb9986ae1c96058a77392e0096fcde8e7e22eccf8a9faee1ef7ed6939: High frequency transactions (less than 1 minute interval)
0x4d217b142e393a64f62c8d69819b47fb9512dc366ccd132dd827d8b4a8172111: High frequency transactions (less than 1 minute interval)
0xd754d018ea62b561c54f8c5d2b5ddec214fd0402720675b5dfb4741e9146285f: High frequency transactions (less than 1 minute interval)
0xbf9460c6908671ed92a440b389079cf1364d246c1ac042d53dd536b553759c94: High frequency transactions (less than 1 minute interval)
0xf3134a0e79ca8917a0d14b83a18295ea0acc8d26e07dc2f0d2ecf205beeda266: High frequency transactions (less than 1 minute interval)
0x47ff4dde3a87764f60043cc62d2399d7f6d57f67bec966244569994afe6a031e: High frequency transactions (less than 1 minute interval)
0xa67209d9fbb9a3b6405cb4cc1bafcb195a9ce571708308a3803c71b29e924ad1: High frequency transactions (less than 1 minute interval)
0x256ade64cfaa10ce2b68a229b2c223926748f3f22e2e2a1257b6fc9b34f994e5: High frequency transactions (less than 1 minute interval)
0xcebcbba445db6ec2202feb8af538abef20caad8c137483190cf3cfdaf6a519cd: High frequency transactions (less than 1 minute interval)
0x29d962d9268884874720cec8174d6eba85850e9f7f1529c90b31d68034c3b3a6: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x5ef2fed…
|
36
Medium
|
Very short time between transactions
Related to 2 high-risk transactions (highest score: 90)
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Transaction amount halved compared to previous transaction
|
No tags
|
0x0234e95…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x8891c30…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x32d42d3…
|
27
Medium
|
High frequency transactions (less than 1 minute interval)
Related to 17 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount doubled compared to previous transaction
|
No tags
|
0x67797c6…
|
38
Medium
|
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
Local Outlier Factor (LOF) detected as anomaly
Transaction amount halved compared to previous transaction
|
No tags
|
0x4d217b1…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xd754d01…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xbf9460c…
|
39
Medium
|
Related to 21 high-risk transactions (highest score: 97)
Address became active after a long inactive period
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0xf3134a0…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x47ff4dd…
|
85
High
|
High frequency transactions (less than 1 minute interval)
Round amount consistent with mixer
Standard mixer amount detected
Very short time between transactions
Anomaly detected by Isolation Forest
|
No tags
|
0xa67209d…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x256ade6…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xcebcbba…
|
100
High
|
Related to 3 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction involves DeFi exploit address: PolyNetwork Exploiter 1
Sends funds to exploit address: 0xc8a65f...
Transaction amount halved compared to previous transaction
|
No tags
|
0x29d962d…
|
32
Medium
|
Related to 17 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount halved compared to previous transaction
|
No tags
|
0x553d08b…
|
34
Medium
|
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
|
No tags
|
0x57a9a15…
|
42
High
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
|
No tags
|
0xde78288…
|
39
Medium
|
Related to 13 high-risk transactions (highest score: 94)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x810f6d5…
|
43
High
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
|
No tags
|
0xe26097f…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 1
Address became active after a long inactive period
Transaction amount significantly lower than average
Related to 253 high-risk transactions (highest score: 100)
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Sends funds to exploit address: 0x47666f...
Transaction amount halved compared to previous transaction
|
No tags
|
0xacbf42b…
|
45
High
|
Repetitive transaction amount
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
|
No tags
|
0x42f0d14…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xc46890f…
|
44
High
|
Address became active after a long inactive period
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Local Outlier Factor (LOF) detected as anomaly
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: 14
Medium Risk Activities: 0
Total Flagged Transactions: 22
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 0xc2d611f6f43afb8a6f18494eb1e49096621148c5:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 32.00
- Total Suspicious Patterns: 22
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 18:16:50 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
Views
6
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