Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x98bb...0ebb
Published
14 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x98bb...0ebb
Login to view LLM Analysis
Overview
Project Scope
Analysis of wallet 0x98bb579277f12ab40722b4786e551996fc6e0ebb - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x98bb579277f12ab40722b4786e551996fc6e0ebb
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x98bb579277f12ab40722b4786e551996fc6e0ebb
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 0x98bb579277f12ab40722b4786e551996fc6e0ebb
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 0x98bb579277f12ab40722b4786e551996fc6e0ebb
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.
0x121fba4f999361d4dec6d2181c616ff033a5952ac9eb52972197b793a0f9a2f2: Very short time between transactions
0xdbff21256b990c2e2fc67ca9582c4cbff52fe6c2ac3eb17d747d84a813dfa2c8: Very short time between transactions
0x41f96e2d8bfc3147de56e3b22d52ff48e9e1333c940d324748567c6f7bbf2325: Very short time between transactions
0xfed065f23dd77163bc8d464dc8eeba1b7c967b5727cc21acab16bc1fce9d2b6c: Very short time between transactions
0xed2ee6d942fe1c89c4d51099052ccb58b325bab2deb94c56f770cd87a77f71fa: Very short time between transactions
0x55928dcc9852a3e501b38873367e8a916d8b8d3f305e67c5097c34a7e0e7e5c5: Very short time between transactions
0x8e19f9a2b5da3846a9afaf45482c5eb0d69e33bb0562c811e6c4742cb5d77fea: Very short time between transactions
0xe6ae8f55a6943345ea277e9441c66cfc407f3f63de620f77655106d69b5c5b95: Very short time between transactions
0x962c0646b4f6f05d486c7678232be167557afa5d116c31517371fdf2dd939c67: Very short time between transactions
0xf336e3d9aff9e7cd7b6acfe19233a5e5b0083b11e3608965f23f1ea120d6b6cd: Very short time between transactions
0x34fc0035708fc74e533478b63c665a95ee40c0482f39b47efff917a7d5d2ae7e: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x121fba4f999361d4dec6d2181c616ff033a5952ac9eb52972197b793a0f9a2f2: High frequency transactions (less than 1 minute interval)
0xc7d8fe0276909b073e3fb512f67a3bf7ac46adfde085bdc7ead244c1c7c5525c: High frequency transactions (less than 1 minute interval)
0xdbff21256b990c2e2fc67ca9582c4cbff52fe6c2ac3eb17d747d84a813dfa2c8: High frequency transactions (less than 1 minute interval)
0x41f96e2d8bfc3147de56e3b22d52ff48e9e1333c940d324748567c6f7bbf2325: High frequency transactions (less than 1 minute interval)
0xfed065f23dd77163bc8d464dc8eeba1b7c967b5727cc21acab16bc1fce9d2b6c: High frequency transactions (less than 1 minute interval)
0xed2ee6d942fe1c89c4d51099052ccb58b325bab2deb94c56f770cd87a77f71fa: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x55928dcc9852a3e501b38873367e8a916d8b8d3f305e67c5097c34a7e0e7e5c5: High frequency transactions (less than 1 minute interval)
0x8e19f9a2b5da3846a9afaf45482c5eb0d69e33bb0562c811e6c4742cb5d77fea: High frequency transactions (less than 1 minute interval)
0xe6ae8f55a6943345ea277e9441c66cfc407f3f63de620f77655106d69b5c5b95: High frequency transactions (less than 1 minute interval)
0x962c0646b4f6f05d486c7678232be167557afa5d116c31517371fdf2dd939c67: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xf336e3d9aff9e7cd7b6acfe19233a5e5b0083b11e3608965f23f1ea120d6b6cd: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
13
Average Risk Score
49.92
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xfed065f…
|
44
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xe6ae8f5…
|
56
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xf336e3d…
|
54
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xdbff212…
|
51
High
|
Short time frame between transactions
Large transaction amount
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xc7d8fe0…
|
38
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x55928dc…
|
38
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x121fba4…
|
51
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xed2ee6d…
|
33
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x34fc003…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 27
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Receives funds from exploit address: 0x52207e...
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Related to 71 high-risk transactions (highest score: 100)
|
No tags
|
0x41f96e2…
|
31
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
|
No tags
|
0x8e19f9a…
|
46
High
|
Short time frame between transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x962c064…
|
54
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower 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: 12
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 0x98bb579277f12ab40722b4786e551996fc6e0ebb:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 49.67
- 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 11:04:33 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
7
Likes
0