Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xe32d...a82f
Published
15 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xe32d...a82f
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xe32d000a9d80fce893afe5e834f9aedd1085a82f - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xe32d000a9d80fce893afe5e834f9aedd1085a82f
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xe32d000a9d80fce893afe5e834f9aedd1085a82f
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 14 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 0xe32d000a9d80fce893afe5e834f9aedd1085a82f
1. Blockchain Data Retrieval
- Retrieved 14 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 0xe32d000a9d80fce893afe5e834f9aedd1085a82f
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 55 Suspicious Transactions: 14
Key Findings: - Automated analysis detected 14 suspicious transactions - Risk assessment indicates very high risk level - 55 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.
0xcdbf2fccd57f15eac528da752c5a199e68f355c1dbfca256b653b5741a3403f7: Very short time between transactions
0x4dbbcd6ae6bdde7b3b4501c7cd901ff9ad9dd2ca0541ea7ee66878a81d95127f: Very short time between transactions
0x33052430fd04885361cf4e1c9c16fbeb1750b93168ddeb4c4f49ad9a09df0121: Very short time between transactions
0x1329c5300197d968382ed19f60635b9da655b744a4675b3ee1d1246e04f5f839: Very short time between transactions
0x2ea7153a1f3f5ed82814abadf27d9dd19c77876f7805bcfbafeaa5e32cfdd5da: Very short time between transactions
0x9a4d98601593fe44339f52ab8a0df8b07a400375e481ac60830a30054711a705: Very short time between transactions
0xec04e597fd29e2f21ffb5a45fdea8e4e02f6cd7d3fb23f810cdf4e62afa3818b: Very short time between transactions
0xb4cef290ac5f6998e5b6c1dca47f505e9f4f3ccc8d34f58e364399422f020069: Very short time between transactions
0x942cc1f8e62f75fbbf78e88a99ec37d973c7134550201d20571b3892193d90a1: Very short time between transactions
0x5b6a5a08ba3e9e9e087cdf583533fdd6c785ed603bfd1c98a9a1e697f503e01a: Very short time between transactions
0x0daa6ccb46118932c754ab12e9728397f7218bb57c68830f08f2a6b99e230351: Very short time between transactions
0x6be5cfc1b51c2943636157a8378774a2b041e9a6cbde0877bc796bf618e534f4: Very short time between transactions
0x94b1bfecc042aff5754a1d4b3c8109c3f7317c4afc484bebad5f3896bc9a2cd3: Very short time between transactions
0x4dbbcd6ae6bdde7b3b4501c7cd901ff9ad9dd2ca0541ea7ee66878a81d95127f: Transaction amount doubled compared to previous transaction
0xb4cef290ac5f6998e5b6c1dca47f505e9f4f3ccc8d34f58e364399422f020069: Transaction amount significantly lower than average
0x942cc1f8e62f75fbbf78e88a99ec37d973c7134550201d20571b3892193d90a1: Transaction amount significantly lower than average
0x5b6a5a08ba3e9e9e087cdf583533fdd6c785ed603bfd1c98a9a1e697f503e01a: Transaction amount halved compared to previous transaction
0x0daa6ccb46118932c754ab12e9728397f7218bb57c68830f08f2a6b99e230351: Transaction amount significantly lower than average
0xcdbf2fccd57f15eac528da752c5a199e68f355c1dbfca256b653b5741a3403f7: High frequency transactions (less than 1 minute interval)
0x4dbbcd6ae6bdde7b3b4501c7cd901ff9ad9dd2ca0541ea7ee66878a81d95127f: High frequency transactions (less than 1 minute interval)
0x33052430fd04885361cf4e1c9c16fbeb1750b93168ddeb4c4f49ad9a09df0121: High frequency transactions (less than 1 minute interval)
0x1329c5300197d968382ed19f60635b9da655b744a4675b3ee1d1246e04f5f839: High frequency transactions (less than 1 minute interval)
0x2ea7153a1f3f5ed82814abadf27d9dd19c77876f7805bcfbafeaa5e32cfdd5da: High frequency transactions (less than 1 minute interval)
0x9a4d98601593fe44339f52ab8a0df8b07a400375e481ac60830a30054711a705: High frequency transactions (less than 1 minute interval)
0xec04e597fd29e2f21ffb5a45fdea8e4e02f6cd7d3fb23f810cdf4e62afa3818b: High frequency transactions (less than 1 minute interval)
0xb4cef290ac5f6998e5b6c1dca47f505e9f4f3ccc8d34f58e364399422f020069: High frequency transactions (less than 1 minute interval)
0x942cc1f8e62f75fbbf78e88a99ec37d973c7134550201d20571b3892193d90a1: High frequency transactions (less than 1 minute interval)
0x5b6a5a08ba3e9e9e087cdf583533fdd6c785ed603bfd1c98a9a1e697f503e01a: High frequency transactions (less than 1 minute interval)
0x0daa6ccb46118932c754ab12e9728397f7218bb57c68830f08f2a6b99e230351: High frequency transactions (less than 1 minute interval)
0x6be5cfc1b51c2943636157a8378774a2b041e9a6cbde0877bc796bf618e534f4: High frequency transactions (less than 1 minute interval)
0x94b1bfecc042aff5754a1d4b3c8109c3f7317c4afc484bebad5f3896bc9a2cd3: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xcdbf2fc…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 35
Receives funds from exploit address: 0xbc3e5e...
Very short time between transactions
Related to 85 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x94ac7fe…
|
56
High
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x3305243…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 35
Receives funds from exploit address: 0xbc3e5e...
Rapid accumulation of large transactions
Very short time between transactions
Related to 85 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x5b6a5a0…
|
40
High
|
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Part of suspicious wallet community
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x6be5cfc…
|
36
Medium
|
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Part of suspicious wallet community
Short time frame between transactions
Transaction amount doubled compared to previous transaction
|
No tags
|
0x94b1bfe…
|
39
Medium
|
Part of cyclic transaction pattern: Part of cycle of length 4
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
|
0x4dbbcd6…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 35
Receives funds from exploit address: 0xbc3e5e...
Very short time between transactions
Related to 85 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x1329c53…
|
56
High
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x9a4d986…
|
57
High
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x2ea7153…
|
37
Medium
|
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Part of suspicious wallet community
Short time frame between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xec04e59…
|
37
Medium
|
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Part of suspicious wallet community
Short time frame between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x942cc1f…
|
22
Low
|
Repetitive transaction amount
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
Part of suspicious wallet community
|
No tags
|
0xb4cef29…
|
25
Medium
|
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
Part of suspicious wallet community
Transaction amount halved compared to previous transaction
|
No tags
|
0x0daa6cc…
|
24
Low
|
Transaction amount doubled compared to previous transaction
Transaction amount significantly lower than average
Part of cyclic transaction pattern: Part of cycle of length 4
Part of suspicious wallet community
|
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: 14
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 0xe32d000a9d80fce893afe5e834f9aedd1085a82f:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 52.07
- Total Suspicious Patterns: 14
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 22:55:27 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
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