Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x3479...7f8c
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x3479...7f8c
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Overview
Project Scope
Analysis of wallet 0x34795cf2415729ba7d8ccd40c091788285b77f8c - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x34795cf2415729ba7d8ccd40c091788285b77f8c
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x34795cf2415729ba7d8ccd40c091788285b77f8c
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 9 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 0x34795cf2415729ba7d8ccd40c091788285b77f8c
1. Blockchain Data Retrieval
- Retrieved 9 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 0x34795cf2415729ba7d8ccd40c091788285b77f8c
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 33 Suspicious Transactions: 9
Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 33 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.
0xa66b2845ace35ac13d549d32befa2e2d6f7f26041217701b254bcef09263110a: Very short time between transactions
0xf724912eac367191d360fe5196c2579d2cb3fef4632b497950992dd739fefd60: Very short time between transactions
0x2d82fb708e5a51db15df416fd1542469b0b3d58b3d33ef5d6df0860f45631c9c: Very short time between transactions
0xb194655d071fa01307657400b9e68f325f143d557e0f4c245007762f369643be: Very short time between transactions
0x2e9b7eeb6e595706f90f8cb79d9496675af3963f0049d8a7ad6d9377f0b551e9: Very short time between transactions
0xe56ff47293e18bfd054aa6fb257882875e516df95b4cc43673074bbd0c759694: Very short time between transactions
0xff68c0e5c627b21bd0a4ae5e7d179bbc6fa6a32025ee4bfd2f6bb20b313f7f66: Very short time between transactions
0x19da03c8eb635199d8a0780b5e65564979d75113e39f3249f0caea16b0521a21: Very short time between transactions
0xf724912eac367191d360fe5196c2579d2cb3fef4632b497950992dd739fefd60: Transaction amount significantly higher than average
0x19da03c8eb635199d8a0780b5e65564979d75113e39f3249f0caea16b0521a21: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xa66b2845ace35ac13d549d32befa2e2d6f7f26041217701b254bcef09263110a: High frequency transactions (less than 1 minute interval)
0xb194655d071fa01307657400b9e68f325f143d557e0f4c245007762f369643be: High frequency transactions (less than 1 minute interval)
0x2e9b7eeb6e595706f90f8cb79d9496675af3963f0049d8a7ad6d9377f0b551e9: High frequency transactions (less than 1 minute interval)
0xe56ff47293e18bfd054aa6fb257882875e516df95b4cc43673074bbd0c759694: High frequency transactions (less than 1 minute interval)
0xff68c0e5c627b21bd0a4ae5e7d179bbc6fa6a32025ee4bfd2f6bb20b313f7f66: High frequency transactions (less than 1 minute interval)
0x19da03c8eb635199d8a0780b5e65564979d75113e39f3249f0caea16b0521a21: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
9
Average Risk Score
41.11
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xf724912…
|
100
High
|
Transaction amount significantly higher than average
Related to 42 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Receives funds from exploit address: 0xcd1a4a...
Very short time between transactions
|
No tags
|
0x01a4e5c…
|
30
Medium
|
Short time frame between transactions
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
|
0xa66b284…
|
51
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
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
|
0xb194655…
|
32
Medium
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Fan-in structuring detected: 6 similar amounts from different addresses totaling 0.00
|
No tags
|
0xe56ff47…
|
39
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 6 similar amounts from different addresses totaling 0.00
|
No tags
|
0xff68c0e…
|
39
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 6 similar amounts from different addresses totaling 0.00
|
No tags
|
0x19da03c…
|
18
Low
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 6 similar amounts from different addresses totaling 0.00
|
No tags
|
0x2e9b7ee…
|
40
High
|
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
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
Fan-in structuring detected: 6 similar amounts from different addresses totaling 0.00
|
No tags
|
0x2d82fb7…
|
49
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
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: 9
Medium Risk Activities: 0
Total Flagged Transactions: 9
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 0x34795cf2415729ba7d8ccd40c091788285b77f8c:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 44.22
- Total Suspicious Patterns: 9
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 01:31:13 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
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