Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x698c...468b
Published
14 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x698c...468b
Login to view LLM Analysis
Overview
Project Scope
Analysis of wallet 0x698c9be006f61a5880883c2566377ba11b6a468b - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x698c9be006f61a5880883c2566377ba11b6a468b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x698c9be006f61a5880883c2566377ba11b6a468b
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 11 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 0x698c9be006f61a5880883c2566377ba11b6a468b
1. Blockchain Data Retrieval
- Retrieved 11 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 0x698c9be006f61a5880883c2566377ba11b6a468b
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 43 Suspicious Transactions: 11
Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 43 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.
0xc0d27546bb9e61ad7e5a6f2910d0a9ba053effa155a1a5c6fb7d4ed14e9ca221: Very short time between transactions
0xde3be71fb6861d0144257074e25430a22f23de8dd5ded5f4d9ce52de92cbf53c: Very short time between transactions
0x4af4a3b381166a5dc4b69d14b62832b2edfcc44b22f68f60451aa110c55aae41: Very short time between transactions
0x1ed9827ad15d2650698d969838b2cb3e98d9c122a23e5defb90f98c763d30cda: Very short time between transactions
0xe18e308bed35dec5f58e547c722e1d4cdd69ddd116d17039150356900cd09869: Very short time between transactions
0x634237f074e0ff0c5a14601e49e443426792e38acf3a3f3b397bd7fd09bf9652: Very short time between transactions
0xa79e934e33e7734d88342d8612781582da8adcc7294c354e478d8cf1c94d3ba3: Very short time between transactions
0x32d277df8f0c91cf8dfa7732e64341bf4d12e9de8ef73a4b2a9d44027a3c8172: Very short time between transactions
0xd78e60cb1be5426feb9a07b4c9bd1799efe43f7bced149a253596d464a6ccadf: Very short time between transactions
0x0df7970e4f1ceb18774d85394b987aeb588e224da001dbf96b3e3abecd91a086: Very short time between transactions
0xde3be71fb6861d0144257074e25430a22f23de8dd5ded5f4d9ce52de92cbf53c: Transaction amount significantly lower than average
0xe18e308bed35dec5f58e547c722e1d4cdd69ddd116d17039150356900cd09869: Transaction amount doubled compared to previous transaction
0x634237f074e0ff0c5a14601e49e443426792e38acf3a3f3b397bd7fd09bf9652: Transaction amount halved compared to previous transaction
0x32d277df8f0c91cf8dfa7732e64341bf4d12e9de8ef73a4b2a9d44027a3c8172: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x58d0ef2ba7287f8094f54cfcdcd46e2c8e6df3b167f407d64219acdc1159bea4: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x0df7970e4f1ceb18774d85394b987aeb588e224da001dbf96b3e3abecd91a086: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xc0d27546bb9e61ad7e5a6f2910d0a9ba053effa155a1a5c6fb7d4ed14e9ca221: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xde3be71fb6861d0144257074e25430a22f23de8dd5ded5f4d9ce52de92cbf53c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x4af4a3b381166a5dc4b69d14b62832b2edfcc44b22f68f60451aa110c55aae41: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x1ed9827ad15d2650698d969838b2cb3e98d9c122a23e5defb90f98c763d30cda: High frequency transactions (less than 1 minute interval)
0xe18e308bed35dec5f58e547c722e1d4cdd69ddd116d17039150356900cd09869: High frequency transactions (less than 1 minute interval)
0x634237f074e0ff0c5a14601e49e443426792e38acf3a3f3b397bd7fd09bf9652: High frequency transactions (less than 1 minute interval)
0xa79e934e33e7734d88342d8612781582da8adcc7294c354e478d8cf1c94d3ba3: High frequency transactions (less than 1 minute interval)
0x32d277df8f0c91cf8dfa7732e64341bf4d12e9de8ef73a4b2a9d44027a3c8172: High frequency transactions (less than 1 minute interval)
0xd78e60cb1be5426feb9a07b4c9bd1799efe43f7bced149a253596d464a6ccadf: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x0df7970e4f1ceb18774d85394b987aeb588e224da001dbf96b3e3abecd91a086: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
11
Average Risk Score
35.36
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x1ed9827…
|
52
High
|
Local Outlier Factor (LOF) detected as anomaly
Round amount consistent with mixer
Address became active after a long inactive period
Standard mixer amount detected
Transaction amount doubled compared to previous transaction
Related to 7 high-risk transactions (highest score: 95)
Transaction amount significantly lower than average
|
No tags
|
0xc0d2754…
|
48
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Related to 4 high-risk transactions (highest score: 82)
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xde3be71…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x4af4a3b…
|
42
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x634237f…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 35 high-risk transactions (highest score: 100)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xa79e934…
|
49
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x32d277d…
|
100
High
|
Local Outlier Factor (LOF) detected as anomaly
Related to 83 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Address became active after a long inactive period
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x0df7970…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x58d0ef2…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xe18e308…
|
48
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
Related to 35 high-risk transactions (highest score: 100)
|
No tags
|
0xd78e60c…
|
25
Medium
|
Short time frame between transactions
Related to 3 high-risk transactions (highest score: 86)
Multiple round number transactions
Repetitive transaction amount
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: 8
Medium Risk Activities: 0
Total Flagged Transactions: 11
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 0x698c9be006f61a5880883c2566377ba11b6a468b:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 35.36
- Total Suspicious Patterns: 11
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 06:22:19 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