Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x1012...2983
Published
13 Jul 2025
8 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x1012...2983
Overview
Project Scope
Analysis of wallet 0x10129bae73f2a67622a228c8fb7800d204f62983 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x10129bae73f2a67622a228c8fb7800d204f62983
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x10129bae73f2a67622a228c8fb7800d204f62983
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 0x10129bae73f2a67622a228c8fb7800d204f62983
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 0x10129bae73f2a67622a228c8fb7800d204f62983
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.
0x9c1767f9c32c43425e1e11bf164aaea577aaa30ddac5bb0d9eaa6dc5bc748f08: Very short time between transactions
0x7a198f5847a9ce6fb380dd9055803b8c0fc9379047df61adbd91078a08dd5917: Very short time between transactions
0xaaabefc05988993209e378836f2d993b631b829356b0ebbe62ae1c50eda1d31c: Very short time between transactions
0x9ee3fa01f021a9ed412bbadcc935cd58a6f35789cc071ce8a71cdcf08eaf21ad: Very short time between transactions
0xf9df7243966903998556ed6e0129429e94dad1abb387c3fd40f235e477a9a319: Very short time between transactions
0x339031e43e80196005c2caa122405bf57954e5169dae87554420eb2d0cf50ea2: Very short time between transactions
0x8e9bc5f1390b9b680ceb7bcb18b88c5f50e88487097560b2730c076a57f3be3b: Very short time between transactions
0xf4e9a0c5f4656931493618d7cda93167d0c9b03795a27ff445de03a2e87be5a2: Very short time between transactions
0x7a198f5847a9ce6fb380dd9055803b8c0fc9379047df61adbd91078a08dd5917: Transaction amount doubled compared to previous transaction
0x144c287a73a59c08106830de3fc82fc2c9ae904263b1e27fc51fb191d85709d1: Transaction amount halved compared to previous transaction
0x9c1767f9c32c43425e1e11bf164aaea577aaa30ddac5bb0d9eaa6dc5bc748f08: High frequency transactions (less than 1 minute interval)
0x9ee3fa01f021a9ed412bbadcc935cd58a6f35789cc071ce8a71cdcf08eaf21ad: High frequency transactions (less than 1 minute interval)
0xf9df7243966903998556ed6e0129429e94dad1abb387c3fd40f235e477a9a319: High frequency transactions (less than 1 minute interval)
0x339031e43e80196005c2caa122405bf57954e5169dae87554420eb2d0cf50ea2: High frequency transactions (less than 1 minute interval)
0x8e9bc5f1390b9b680ceb7bcb18b88c5f50e88487097560b2730c076a57f3be3b: High frequency transactions (less than 1 minute interval)
0xf4e9a0c5f4656931493618d7cda93167d0c9b03795a27ff445de03a2e87be5a2: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x9ee3fa0…
|
43
High
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 91.02
Very short time between transactions
|
0xf9df724…
|
48
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Outgoing structuring detected: 3 similar amounts totaling 91.02
Very short time between transactions
|
0x144c287…
|
46
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Part of suspicious wallet community
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0x7a198f5…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
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
Part of suspicious wallet community
Very short time between transactions
|
0xaaabefc…
|
49
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Transaction amount halved compared to previous transaction
|
0x9c1767f…
|
55
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
Part of suspicious wallet community
Very short time between transactions
|
0x8e9bc5f…
|
46
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Part of suspicious wallet community
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
0xf4e9a0c…
|
43
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Repetitive transaction amount
Low transaction fee
Part of suspicious wallet community
Transaction amount significantly lower than average
|
0x339031e…
|
53
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Low transaction fee
Part of suspicious wallet community
Outgoing structuring detected: 3 similar amounts totaling 91.02
Very short time between transactions
Transaction amount significantly lower than average
|
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 0x10129bae73f2a67622a228c8fb7800d204f62983:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 53.67
- 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: 2025-07-13 22:23:40 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 13, 2025
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