Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x4e92...40fb
Published
14 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x4e92...40fb
Login to view LLM Analysis
Overview
Project Scope
Analysis of wallet 0x4e92e8a6e9e1f688c2351c31d9452249404e40fb - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x4e92e8a6e9e1f688c2351c31d9452249404e40fb
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x4e92e8a6e9e1f688c2351c31d9452249404e40fb
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 12 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 0x4e92e8a6e9e1f688c2351c31d9452249404e40fb
1. Blockchain Data Retrieval
- Retrieved 12 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 0x4e92e8a6e9e1f688c2351c31d9452249404e40fb
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 47 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 47 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.
0x20167f84effff1bbecbf0b4ad6517eb12d15c89fbd7b572ed90e2f777934603e: Very short time between transactions
0xfb020dd4f8128e409fd2b460cd5f366846b7834c3d3a21e28f4eca11af21690f: Very short time between transactions
0x95ce120d97fc27b787f4d19314a6bca5802e28e291c63769855e505cf9ed8333: Very short time between transactions
0xf45332fcc3159c49d81d6b457b5c0a8e075d65f986473032d33ca22c5a9f8622: Very short time between transactions
0xf86d5a8aca5a32be7e872c3db953d8ba0fffa107cf280864eafc2b050d7af5b1: Very short time between transactions
0x4a4e106d427da7bb0f7449c56a70857dfd0b6b3916bda794869b65405d32b263: Very short time between transactions
0xfc2553965d8a3bfd059906893709e83d70edb7eb6492e5723707553a783e5ab3: Very short time between transactions
0x9ae651fccd163559af48e8e7bf681f2243b6b4406a7e88359b485fa46fccb9f4: Very short time between transactions
0x70896c57e0a615e37b603f92b6b39d142c2e22395daefcc55da2e577c1c56bd3: Very short time between transactions
0x1191dabc05aa383c36be752c29f49a30069e5680f6f65d6737c3abe4f6df35da: Very short time between transactions
0x19567feb9af759a6d4c6257f673ca31088f7b38426e97b2fba6278676e4ad34c: Very short time between transactions
0x20167f84effff1bbecbf0b4ad6517eb12d15c89fbd7b572ed90e2f777934603e: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x4a4e106d427da7bb0f7449c56a70857dfd0b6b3916bda794869b65405d32b263: Transaction amount doubled compared to previous transaction
0xfc2553965d8a3bfd059906893709e83d70edb7eb6492e5723707553a783e5ab3: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x9ae651fccd163559af48e8e7bf681f2243b6b4406a7e88359b485fa46fccb9f4: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x70896c57e0a615e37b603f92b6b39d142c2e22395daefcc55da2e577c1c56bd3: Transaction amount doubled compared to previous transaction
0x20167f84effff1bbecbf0b4ad6517eb12d15c89fbd7b572ed90e2f777934603e: High frequency transactions (less than 1 minute interval)
0xfb020dd4f8128e409fd2b460cd5f366846b7834c3d3a21e28f4eca11af21690f: High frequency transactions (less than 1 minute interval)
0x95ce120d97fc27b787f4d19314a6bca5802e28e291c63769855e505cf9ed8333: High frequency transactions (less than 1 minute interval)
0xf45332fcc3159c49d81d6b457b5c0a8e075d65f986473032d33ca22c5a9f8622: High frequency transactions (less than 1 minute interval)
0xf86d5a8aca5a32be7e872c3db953d8ba0fffa107cf280864eafc2b050d7af5b1: High frequency transactions (less than 1 minute interval)
0x4a4e106d427da7bb0f7449c56a70857dfd0b6b3916bda794869b65405d32b263: High frequency transactions (less than 1 minute interval)
0xfc2553965d8a3bfd059906893709e83d70edb7eb6492e5723707553a783e5ab3: High frequency transactions (less than 1 minute interval)
0x9ae651fccd163559af48e8e7bf681f2243b6b4406a7e88359b485fa46fccb9f4: High frequency transactions (less than 1 minute interval)
0x70896c57e0a615e37b603f92b6b39d142c2e22395daefcc55da2e577c1c56bd3: High frequency transactions (less than 1 minute interval)
0x1191dabc05aa383c36be752c29f49a30069e5680f6f65d6737c3abe4f6df35da: High frequency transactions (less than 1 minute interval)
0x19567feb9af759a6d4c6257f673ca31088f7b38426e97b2fba6278676e4ad34c: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
12
Average Risk Score
35.5
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x1d5a9fb…
|
32
Medium
|
Related to high-risk transaction ['0x9835a0fc00af0e61a965a94ba0a04af0be2cf27c710e31efbce55209ca03eda2'] (score: 76)
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x70896c5…
|
31
Medium
|
Related to high-risk transaction ['0x9835a0fc00af0e61a965a94ba0a04af0be2cf27c710e31efbce55209ca03eda2'] (score: 76)
Multiple round number transactions
Repetitive transaction amount
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x1191dab…
|
41
High
|
Anomaly detected by Isolation Forest
Part of suspicious wallet community
Address became active after a long inactive period
Related to 5 high-risk transactions (highest score: 80)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x19567fe…
|
34
Medium
|
Related to 2 high-risk transactions (highest score: 89)
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x20167f8…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xf45332f…
|
39
Medium
|
Related to high-risk transaction ['0x9835a0fc00af0e61a965a94ba0a04af0be2cf27c710e31efbce55209ca03eda2'] (score: 76)
Short time frame between transactions
Multiple round number transactions
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xf86d5a8…
|
28
Medium
|
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0x4a4e106…
|
39
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xfc25539…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x9ae651f…
|
100
High
|
Short time frame between transactions
Related to 59 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xfb020dd…
|
40
High
|
Anomaly detected by Isolation Forest
Part of suspicious wallet community
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x95ce120…
|
42
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Part of suspicious wallet community
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 12
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 0x4e92e8a6e9e1f688c2351c31d9452249404e40fb:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 35.50
- Total Suspicious Patterns: 12
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 03:49:02 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
5
Likes
0