Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf483...d2a9
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf483...d2a9
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xf48372010025bf88984866b4a3f8ff255354d2a9 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf48372010025bf88984866b4a3f8ff255354d2a9
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf48372010025bf88984866b4a3f8ff255354d2a9
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 16 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 0xf48372010025bf88984866b4a3f8ff255354d2a9
1. Blockchain Data Retrieval
- Retrieved 16 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 0xf48372010025bf88984866b4a3f8ff255354d2a9
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 62 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 62 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.
0xecb9605adb4cc8bd6072795c89837dc9c95cba060cc4f7095f19309654277249: Very short time between transactions
0xfe97a28ccac8ec64b6eb417c2a3c8f93d438660454b5643ae75c1935e5f9163f: Very short time between transactions
0xc5eb42f469239b6a0ed595f18b6a0a2c85c6b0ae187c2784758ac6487879cb6b: Very short time between transactions
0x88e5c0a4ae79218a69fe429a9a96efe4bbb3200853651a2a7e6e4c7b3cf59df2: Very short time between transactions
0xb840bcab6c514b5ed4ae88eccf69e9a19f3338927a0ab4da21244a6beed5057f: Very short time between transactions
0x1d86a3367b557aa015298eb63b7808f308ca0626cdffb8f9e11363e1a1330e8a: Very short time between transactions
0x82a0fb78fbec3477f8b2382e8ea002651cdd50b26acbdebcf9c86ef494f4c504: Very short time between transactions
0xc14f7b0b3dacb4811ecbb49b2c79443218c956860a4a807419dcdba31886a6bb: Very short time between transactions
0x3f7c006e8b65b44c7d4afe0288cb9de73f882356c9026940ce7436d43f442be8: Very short time between transactions
0xe45844b33eed10c2b2e63c33d0611fff9ad9a03959cda1c31dc8f0e2de2bc7ba: Very short time between transactions
0xea1e59529ca76f74e36a80adee97e2d5c98eb519e4c521f5929a492e785ef4a7: Very short time between transactions
0x02df653e20a56fb73944217dc73b21602b1f5488746056e4d837135debef3428: Very short time between transactions
0x3a8e5e67de034a2ab21df05fb364cbbd4fa960e11cb18c787d28c28efc53b471: Very short time between transactions
0xebf83263ffb701e5a6fc552b52218a36043957ae060e6a1c7f73d9f34cb927d6: Very short time between transactions
0x9673a094c30f0f1c3001dd109b7cb782da4bf27d6eda6663be2b8a7c2983b7e0: Very short time between transactions
0xecb9605adb4cc8bd6072795c89837dc9c95cba060cc4f7095f19309654277249: Transaction amount doubled compared to previous transaction
0x88e5c0a4ae79218a69fe429a9a96efe4bbb3200853651a2a7e6e4c7b3cf59df2: Transaction amount halved compared to previous transaction
0xb840bcab6c514b5ed4ae88eccf69e9a19f3338927a0ab4da21244a6beed5057f: Transaction amount halved compared to previous transaction
0xecb9605adb4cc8bd6072795c89837dc9c95cba060cc4f7095f19309654277249: High frequency transactions (less than 1 minute interval)
0xdaf7f7e92d9aa0b6361ccb0441200025d393ea6dfa621ac24ecb20bd099d23ec: Regular interval transactions between the same wallets
0xc5eb42f469239b6a0ed595f18b6a0a2c85c6b0ae187c2784758ac6487879cb6b: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xb840bcab6c514b5ed4ae88eccf69e9a19f3338927a0ab4da21244a6beed5057f: High frequency transactions (less than 1 minute interval)
0x1d86a3367b557aa015298eb63b7808f308ca0626cdffb8f9e11363e1a1330e8a: High frequency transactions (less than 1 minute interval)
0x82a0fb78fbec3477f8b2382e8ea002651cdd50b26acbdebcf9c86ef494f4c504: High frequency transactions (less than 1 minute interval)
0xc14f7b0b3dacb4811ecbb49b2c79443218c956860a4a807419dcdba31886a6bb: High frequency transactions (less than 1 minute interval)
0x3f7c006e8b65b44c7d4afe0288cb9de73f882356c9026940ce7436d43f442be8: High frequency transactions (less than 1 minute interval)
0xe45844b33eed10c2b2e63c33d0611fff9ad9a03959cda1c31dc8f0e2de2bc7ba: High frequency transactions (less than 1 minute interval)
0xea1e59529ca76f74e36a80adee97e2d5c98eb519e4c521f5929a492e785ef4a7: High frequency transactions (less than 1 minute interval)
0x02df653e20a56fb73944217dc73b21602b1f5488746056e4d837135debef3428: High frequency transactions (less than 1 minute interval)
0x3a8e5e67de034a2ab21df05fb364cbbd4fa960e11cb18c787d28c28efc53b471: High frequency transactions (less than 1 minute interval)
0xebf83263ffb701e5a6fc552b52218a36043957ae060e6a1c7f73d9f34cb927d6: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x9673a094c30f0f1c3001dd109b7cb782da4bf27d6eda6663be2b8a7c2983b7e0: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xfe97a28…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0xbde2cc...
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 41
Transaction amount significantly higher than average
Related to 137 high-risk transactions (highest score: 100)
|
No tags
|
0xb840bca…
|
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
|
0xdaf7f7e…
|
100
High
|
Transaction amount significantly higher than average
Low transaction fee
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 38
Receives funds from exploit address: 0x684d4b...
Related to 87 high-risk transactions (highest score: 100)
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x88e5c0a…
|
36
Medium
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than average
|
No tags
|
0xc5eb42f…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Receives funds from exploit address: 0xbde2cc...
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 41
Transaction amount significantly higher than average
Related to 137 high-risk transactions (highest score: 100)
|
No tags
|
0x3f7c006…
|
55
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 significantly higher than average
|
No tags
|
0xc14f7b0…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xe45844b…
|
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
|
0xea1e595…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x3a8e5e6…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x9673a09…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0x1d86a33…
|
49
High
|
Low transaction fee
Large transaction amount
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
No tags
|
0x82a0fb7…
|
44
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
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xecb9605…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 42
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Receives funds from exploit address: 0xe69753...
Related to 143 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
|
No tags
|
0x02df653…
|
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
|
0xebf8326…
|
44
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than average
|
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: 16
Medium Risk Activities: 0
Total Flagged Transactions: 16
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 0xf48372010025bf88984866b4a3f8ff255354d2a9:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 58.06
- Total Suspicious Patterns: 16
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 01:33:11 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
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