Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x196d...841a
Published
13 Jul 2025
40 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x196d...841a
Overview
Project Scope
Analysis of wallet 0x196daadc4d3926cf8c0939700e6f3bdc00fd841a - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x196daadc4d3926cf8c0939700e6f3bdc00fd841a
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x196daadc4d3926cf8c0939700e6f3bdc00fd841a
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 7 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 0x196daadc4d3926cf8c0939700e6f3bdc00fd841a
1. Blockchain Data Retrieval
- Retrieved 7 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 0x196daadc4d3926cf8c0939700e6f3bdc00fd841a
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 26 Suspicious Transactions: 7
Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 26 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.
0x407f90e6ab0e4dcd819bd270bb8f54a9e171ff609c8679c3294874ce3170590c: Very short time between transactions
0x436829fa63c9d2ba73851dc0c8cb36600dfd4ea5a4236b9e7bc370579acb2333: Very short time between transactions
0x0194dda2fe72e46d1bc95a4a90a985a1d351e18381ad5ea7ab558ef0e2d345f7: Very short time between transactions
0x66042e5f73deaca394d5780da1d62c232aa7285268ea274e89506cd0b57600d5: Very short time between transactions
0x02676f3d6cd7fad865690a4076e3a349b36051d2d3803f26550a3eb67dad136c: Transaction amount significantly higher than user average, Very short time between transactions
0x407f90e6ab0e4dcd819bd270bb8f54a9e171ff609c8679c3294874ce3170590c: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x436829fa63c9d2ba73851dc0c8cb36600dfd4ea5a4236b9e7bc370579acb2333: Transaction amount doubled compared to previous transaction
0x0194dda2fe72e46d1bc95a4a90a985a1d351e18381ad5ea7ab558ef0e2d345f7: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xacf64cd36a473e733014eef0a272ed338165d29eb0da871f9480909990f3b447: Transaction amount doubled compared to previous transaction
0x8f012d47a42a434054036fc945ace94cef7ecb672ac379ba204fb7bf71940152: Transaction amount significantly lower than average
0x02676f3d6cd7fad865690a4076e3a349b36051d2d3803f26550a3eb67dad136c: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x407f90e6ab0e4dcd819bd270bb8f54a9e171ff609c8679c3294874ce3170590c: High frequency transactions (less than 1 minute interval)
0x436829fa63c9d2ba73851dc0c8cb36600dfd4ea5a4236b9e7bc370579acb2333: High frequency transactions (less than 1 minute interval)
0x0194dda2fe72e46d1bc95a4a90a985a1d351e18381ad5ea7ab558ef0e2d345f7: High frequency transactions (less than 1 minute interval)
0x66042e5f73deaca394d5780da1d62c232aa7285268ea274e89506cd0b57600d5: High frequency transactions (less than 1 minute interval)
0x02676f3d6cd7fad865690a4076e3a349b36051d2d3803f26550a3eb67dad136c: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
8
Average Risk Score
38.5
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Network | Risk Score | Risk Factors | Tags |
|---|---|---|---|---|
0x8f012d4…
|
— |
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x02676f3…
|
— |
100
High
|
Local Outlier Factor (LOF) detected as anomaly
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Repetitive transaction amount
Address became active after a long inactive period
Related to 15 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
|
No tags
|
0x407f90e…
|
— |
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x436829f…
|
— |
39
Low
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 4 high-risk transactions (highest score: 82)
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x0194dda…
|
— |
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x66042e5…
|
— |
27
Low
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xacf64cd…
|
— |
42
Medium
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Related to 3 high-risk transactions (highest score: 91)
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: 4
Medium Risk Activities: 0
Total Flagged Transactions: 7
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 0x196daadc4d3926cf8c0939700e6f3bdc00fd841a:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 29.71
- Total Suspicious Patterns: 7
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
Report Information
Author
Cladious Auto
Published Date
July 13, 2025
Views
40
Likes
0