Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x9ecb...97a8
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x9ecb...97a8
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Overview
Project Scope
Analysis of wallet 0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 19 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 0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8
1. Blockchain Data Retrieval
- Retrieved 19 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 0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 76 Suspicious Transactions: 19
Key Findings: - Automated analysis detected 19 suspicious transactions - Risk assessment indicates very high risk level - 76 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.
0x84394883103643fe73d98816ec48aeba922bc8a02cefc5eaa76c8a50b5288ce3: Very short time between transactions
0x1625b09c672336ff2c9db9ffa7d9d8f7a6d6d764ab1c9be2b4a601bf5548c676: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x3e2766a6edb2bf7c4c5b4aa117f192592ff524cb1d933bc5622b4b6cc6e30b6a: Transaction amount doubled compared to previous transaction
0xc1bbd426c0f9b859abed1e6ea20ad0739023d81990d1273f868bcd4783755774: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xc27244003583b85cd8fe7c0ab5396758633a00fcb42ab78503fcfa52690ba44b: Transaction amount doubled compared to previous transaction
0x3f82ac61fbfdc41a33b5a24e77a7304bcf16d295c6cf33117a3706e09a6602b8: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x3a4134cf39d76403774d663c9b5af580584170ca8fe5a34465011451968610a2: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x93366db9a660b0ccb21da9b1959a594938de695f70f9b1a16b0b60f04b8ac1cb: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x2a215b9488b90d70fbb2677a4c77cb652d1d3bb9f3bf88a875bece4dd87eb492: Transaction amount significantly lower than average
0x84394883103643fe73d98816ec48aeba922bc8a02cefc5eaa76c8a50b5288ce3: High frequency transactions (less than 1 minute interval)
0x150e0208346200945df49b490b5d03141dcd855d67f2a92b25bf6d2532a0e821: High frequency transactions (less than 1 minute interval)
0xa0314330edf107d515f6df1778e5d4da46bc076c0bd05ade2ae9dff7391ae264: High frequency transactions (less than 1 minute interval)
0x3f846cc28298cb848f4e0c04decb4a8f592bac10ee0a1f9e8091c4220269069a: High frequency transactions (less than 1 minute interval)
0xcc3e1bced8812d83ae5ea4e1e01db8dd7db01c816a6434605044606ec7e40590: High frequency transactions (less than 1 minute interval)
0xd816ef1226dbcbfba0fe276a3b346637c74b8ec931d97a5de173d10c14c8b083: High frequency transactions (less than 1 minute interval)
0x7578f69fca2340fb74a46a4bad5a2cdecbb0f1d094b20f75f7d5ff5acc2997c1: High frequency transactions (less than 1 minute interval)
0x1625b09c672336ff2c9db9ffa7d9d8f7a6d6d764ab1c9be2b4a601bf5548c676: High frequency transactions (less than 1 minute interval)
0x3e2766a6edb2bf7c4c5b4aa117f192592ff524cb1d933bc5622b4b6cc6e30b6a: High frequency transactions (less than 1 minute interval)
0xdd7e3974398e5d5b999d452b7213aa92afe22b91c25d455109db821b1c379142: High frequency transactions (less than 1 minute interval)
0x4b4d12a6eb926ad165a279a21dfbc41809aa54ea2e82f3fa1c66601c251204f6: High frequency transactions (less than 1 minute interval)
0x1e3dc6d1175bb64cbed7f90fa31a88275f87140d63cd68af7291c4823ff4be87: High frequency transactions (less than 1 minute interval)
0xc1bbd426c0f9b859abed1e6ea20ad0739023d81990d1273f868bcd4783755774: High frequency transactions (less than 1 minute interval)
0xc27244003583b85cd8fe7c0ab5396758633a00fcb42ab78503fcfa52690ba44b: High frequency transactions (less than 1 minute interval)
0x1bdbbc8bf02f60df65de02072d0825f14eee1c0ad430d62b06131450c2f72957: High frequency transactions (less than 1 minute interval)
0x3f82ac61fbfdc41a33b5a24e77a7304bcf16d295c6cf33117a3706e09a6602b8: High frequency transactions (less than 1 minute interval)
0x3a4134cf39d76403774d663c9b5af580584170ca8fe5a34465011451968610a2: High frequency transactions (less than 1 minute interval)
0x93366db9a660b0ccb21da9b1959a594938de695f70f9b1a16b0b60f04b8ac1cb: High frequency transactions (less than 1 minute interval)
0x2a215b9488b90d70fbb2677a4c77cb652d1d3bb9f3bf88a875bece4dd87eb492: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
19
Average Risk Score
34.68
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x8439488…
|
42
High
|
Short time frame between transactions
Multiple round number transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x150e020…
|
43
High
|
Short time frame between transactions
Multiple round number 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
|
0xa031433…
|
43
High
|
Short time frame between transactions
Multiple round number 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
|
0x3f846cc…
|
43
High
|
Short time frame between transactions
Multiple round number 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
|
0xcc3e1bc…
|
35
Medium
|
Short time frame between transactions
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xd816ef1…
|
34
Medium
|
Short time frame between transactions
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x7578f69…
|
48
High
|
Transaction amount significantly higher than average
Related to high-risk transaction ['0x0aa3a29f00f5fd8ac24e5624d31cf0255c9f46a46a5e0a7ef6b790e57424b60d'] (score: 76)
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
|
0x1625b09…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x3e2766a…
|
46
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly higher than user average
Related to 100 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0xdd7e397…
|
33
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Related to 49 high-risk transactions (highest score: 88)
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x4b4d12a…
|
43
High
|
Related to 91 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x1e3dc6d…
|
52
High
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xc1bbd42…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xc272440…
|
49
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x1bdbbc8…
|
48
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x3f82ac6…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x3a4134c…
|
100
High
|
Sends funds to exploit address: 0xc8a65f...
Local Outlier Factor (LOF) detected as anomaly
Transaction involves DeFi exploit address: PolyNetwork Exploiter 1
Related to 2 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x93366db…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x2a215b9…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
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: 14
Medium Risk Activities: 0
Total Flagged Transactions: 19
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 0x9ecbd28af241ace59727d61f7ca4b74b6f1697a8:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 34.68
- Total Suspicious Patterns: 19
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 11:41:42 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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