Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf443...5050
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf443...5050
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xf443d10e3048afe8441a8caad1a7bcb8a8145050 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf443d10e3048afe8441a8caad1a7bcb8a8145050
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf443d10e3048afe8441a8caad1a7bcb8a8145050
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 18 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 0xf443d10e3048afe8441a8caad1a7bcb8a8145050
1. Blockchain Data Retrieval
- Retrieved 18 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 0xf443d10e3048afe8441a8caad1a7bcb8a8145050
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 69 Suspicious Transactions: 18
Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 69 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.
0xfb8c8e9508e42e8570f5f15cf9f16cffedc923d32f131b34e1241f5774325b80: Very short time between transactions
0xceb0a733f2cb4181720440d07059e153c9ce5de72231632e0bcd94d638b82622: Very short time between transactions
0xbf652f992df4b2606acb6c4af095fb0a38a1f90e77f11b65f98983b675030513: Very short time between transactions
0xe924983c6e3f22e852a58c5dac3885d49308f24fe26954e401c9959617599046: Very short time between transactions
0x461891a1755bb38ee217a6c47898ec96e0f13fd6bd7f489aea09ae2e9b80ff3e: Very short time between transactions
0xf0078d85bdde5d12c05eb00746ae5f29890e701c2d99cadf8cf4c10c71b6d424: Very short time between transactions
0xe3c31938fc9ac1e872aca7a9b221c02818210bbee20ceb1050ddefb15386a90f: Very short time between transactions
0xb528caa6afce50ece5353bc4e4ec452963f847c30dd91b40f2e2fa598679214b: Very short time between transactions
0x742948ec5e8cefaeb04a38df16791cefd59f0bca68c8ebc476a6e8733eac3b90: Very short time between transactions
0x6944c60819d72d9b082200b6327d5f5e7b1267803408509bde535c9bb9d21ad0: Very short time between transactions
0x596fa13dc84094ccc0af659f8f586e450eebcb4c8b6f293d7c3132515aab8f2f: Very short time between transactions
0xd5ad0122eadf015e8f11a434d6be1016eacc9c2f0dfc570265d86e70ee8e8cff: Very short time between transactions
0x0ec92f543ea6afb79b1d281d93c50339bf17f864de9db0f518a18a1fd0145360: Very short time between transactions
0x1e1d2c8bf9bf5678d5ad127dd18d906c9b7119d65034fcb2b72a2f603ba2a69f: Very short time between transactions
0xeaf181d5501839165059f68e0439288834e7c919543b60694025b2b01cb6393b: Very short time between transactions
0x3e9c3e18380ce0375accab9f10df4539fe55b2b6aba9f5075cff3c4142667f53: Very short time between transactions
0xceb0a733f2cb4181720440d07059e153c9ce5de72231632e0bcd94d638b82622: Transaction amount doubled compared to previous transaction
0xbf652f992df4b2606acb6c4af095fb0a38a1f90e77f11b65f98983b675030513: Transaction amount doubled compared to previous transaction
0xe924983c6e3f22e852a58c5dac3885d49308f24fe26954e401c9959617599046: Transaction amount doubled compared to previous transaction
0x61cda55d1294a71e1889f1788fbae620cf2dcbe88071c354ea84f6b5c9b79dcb: Transaction amount halved compared to previous transaction
0xb528caa6afce50ece5353bc4e4ec452963f847c30dd91b40f2e2fa598679214b: Transaction amount halved compared to previous transaction
0x6944c60819d72d9b082200b6327d5f5e7b1267803408509bde535c9bb9d21ad0: Transaction amount halved compared to previous transaction
0x0ec92f543ea6afb79b1d281d93c50339bf17f864de9db0f518a18a1fd0145360: Transaction amount halved compared to previous transaction
0xfb91d2748ebbb698b440ea9a2f190f10c41bd137fea2f4b876e2c054350d5c43: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0xfb8c8e9508e42e8570f5f15cf9f16cffedc923d32f131b34e1241f5774325b80: High frequency transactions (less than 1 minute interval)
0xceb0a733f2cb4181720440d07059e153c9ce5de72231632e0bcd94d638b82622: High frequency transactions (less than 1 minute interval)
0xbf652f992df4b2606acb6c4af095fb0a38a1f90e77f11b65f98983b675030513: High frequency transactions (less than 1 minute interval)
0xe924983c6e3f22e852a58c5dac3885d49308f24fe26954e401c9959617599046: High frequency transactions (less than 1 minute interval)
0xf0078d85bdde5d12c05eb00746ae5f29890e701c2d99cadf8cf4c10c71b6d424: High frequency transactions (less than 1 minute interval)
0xe3c31938fc9ac1e872aca7a9b221c02818210bbee20ceb1050ddefb15386a90f: High frequency transactions (less than 1 minute interval)
0xb528caa6afce50ece5353bc4e4ec452963f847c30dd91b40f2e2fa598679214b: High frequency transactions (less than 1 minute interval)
0x742948ec5e8cefaeb04a38df16791cefd59f0bca68c8ebc476a6e8733eac3b90: High frequency transactions (less than 1 minute interval)
0x6944c60819d72d9b082200b6327d5f5e7b1267803408509bde535c9bb9d21ad0: High frequency transactions (less than 1 minute interval)
0x596fa13dc84094ccc0af659f8f586e450eebcb4c8b6f293d7c3132515aab8f2f: High frequency transactions (less than 1 minute interval)
0xd5ad0122eadf015e8f11a434d6be1016eacc9c2f0dfc570265d86e70ee8e8cff: High frequency transactions (less than 1 minute interval)
0x0ec92f543ea6afb79b1d281d93c50339bf17f864de9db0f518a18a1fd0145360: High frequency transactions (less than 1 minute interval)
0x1e1d2c8bf9bf5678d5ad127dd18d906c9b7119d65034fcb2b72a2f603ba2a69f: High frequency transactions (less than 1 minute interval)
0xeaf181d5501839165059f68e0439288834e7c919543b60694025b2b01cb6393b: High frequency transactions (less than 1 minute interval)
0x3e9c3e18380ce0375accab9f10df4539fe55b2b6aba9f5075cff3c4142667f53: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x461891a…
|
85
High
|
Low transaction fee
Large transaction amount
Round amount consistent with mixer
Short time frame between transactions
Standard mixer amount detected
Very short time between transactions
Transaction amount halved compared to previous transaction
Related to 13 high-risk transactions (highest score: 92)
|
No tags
|
0xb528caa…
|
34
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Related to 17 high-risk transactions (highest score: 85)
|
No tags
|
0x6944c60…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x0ec92f5…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x61cda55…
|
44
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Related to 3 high-risk transactions (highest score: 100)
|
No tags
|
0xf0078d8…
|
85
High
|
Low transaction fee
Large transaction amount
Round amount consistent with mixer
Standard mixer amount detected
Short time frame between transactions
Very short time between transactions
Related to 13 high-risk transactions (highest score: 92)
|
No tags
|
0xfb8c8e9…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 17
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Receives funds from exploit address: 0xf0a166...
Transaction amount significantly higher than average
Related to 174 high-risk transactions (highest score: 100)
Transaction amount significantly higher than user average
|
No tags
|
0x742948e…
|
50
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
No tags
|
0xbf652f9…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 17
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Receives funds from exploit address: 0xf0a166...
Related to 174 high-risk transactions (highest score: 100)
|
No tags
|
0x596fa13…
|
53
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xd5ad012…
|
63
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
No tags
|
0xfb91d27…
|
21
Low
|
Low transaction fee
Short time frame between transactions
Very short time between transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Related to 4 high-risk transactions (highest score: 85)
|
No tags
|
0xe3c3193…
|
39
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 17 high-risk transactions (highest score: 85)
|
No tags
|
0x1e1d2c8…
|
40
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
|
No tags
|
0xeaf181d…
|
40
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
|
No tags
|
0x3e9c3e1…
|
49
High
|
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Anomaly detected by Isolation Forest
Repetitive transaction amount
|
No tags
|
0xe924983…
|
100
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 17
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Receives funds from exploit address: 0xf0a166...
Transaction amount significantly higher than average
Related to 174 high-risk transactions (highest score: 100)
Transaction amount significantly higher than user average
|
No tags
|
0xceb0a73…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 17
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Receives funds from exploit address: 0xf0a166...
Transaction amount significantly higher than average
Related to 174 high-risk transactions (highest score: 100)
|
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: 18
Medium Risk Activities: 0
Total Flagged Transactions: 18
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 0xf443d10e3048afe8441a8caad1a7bcb8a8145050:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 60.50
- Total Suspicious Patterns: 18
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: 2025-07-16 01:30:37 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 16, 2025
Views
6
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