Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf309...fdd9
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf309...fdd9
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 10 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 0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9
1. Blockchain Data Retrieval
- Retrieved 10 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 0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10
Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0x5ab4d5b1a4efae96eac60b92d082747206d9ebbd9caa8ca157b748d9cb9f132b: Very short time between transactions
0xd08c1c1ee4fbe979f3955c99e34e63b3a6bc48d006039f738d177e47c76291b1: Very short time between transactions
0x4090922a3ecc35e7285630e9977e9fd7877044fec7b20ffea8738e3b7db6ff74: Very short time between transactions
0x485eabb4293f6a8ed426a6af61ab06714dffa159f4430cc1f2c87ff976ab997a: Very short time between transactions
0xfb16422586cac10b7c00bd922c5008075dffd0235a739e0439151f9e7504b762: Very short time between transactions
0x861c095a70776d0aed58e70a3a9818fa9cb646352c67c53e86fa43adfd6686ce: Very short time between transactions
0x981457769dfc7f6ad9de7dea36b87ee59ba4baee349173c0c50084ad45e33b58: Very short time between transactions
0x61339bd1f64c6eb319ee2cd3fff398f5db1425652d8ad05be0d1636ab785e033: Very short time between transactions
0xe89c3fd1a44e5f4ea4b16924c72648b7cfb8c113fc33353293a9f196017511ad: Very short time between transactions
0xd08c1c1ee4fbe979f3955c99e34e63b3a6bc48d006039f738d177e47c76291b1: Transaction amount halved compared to previous transaction
0x5ab4d5b1a4efae96eac60b92d082747206d9ebbd9caa8ca157b748d9cb9f132b: High frequency transactions (less than 1 minute interval)
0xd08c1c1ee4fbe979f3955c99e34e63b3a6bc48d006039f738d177e47c76291b1: High frequency transactions (less than 1 minute interval)
0x4090922a3ecc35e7285630e9977e9fd7877044fec7b20ffea8738e3b7db6ff74: High frequency transactions (less than 1 minute interval)
0x485eabb4293f6a8ed426a6af61ab06714dffa159f4430cc1f2c87ff976ab997a: High frequency transactions (less than 1 minute interval)
0xfb16422586cac10b7c00bd922c5008075dffd0235a739e0439151f9e7504b762: High frequency transactions (less than 1 minute interval)
0x861c095a70776d0aed58e70a3a9818fa9cb646352c67c53e86fa43adfd6686ce: High frequency transactions (less than 1 minute interval)
0x981457769dfc7f6ad9de7dea36b87ee59ba4baee349173c0c50084ad45e33b58: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x61339bd1f64c6eb319ee2cd3fff398f5db1425652d8ad05be0d1636ab785e033: High frequency transactions (less than 1 minute interval)
0xe89c3fd1a44e5f4ea4b16924c72648b7cfb8c113fc33353293a9f196017511ad: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x5ab4d5b…
|
100
High
|
Low transaction fee
Large transaction amount
Receives funds from exploit address: 0x40e98f...
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 169 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 6
Transaction amount significantly higher than user average
|
No tags
|
0xd08c1c1…
|
45
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to high-risk transaction ['0x01ef7d6c973f3cd0e9574e0ef51838d6b93bb74d7cdf470cb6f66c2cd27c814c'] (score: 76)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
|
No tags
|
0x485eabb…
|
54
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x4090922…
|
30
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xfb16422…
|
38
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x861c095…
|
44
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x61339bd…
|
40
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Repetitive transaction amount
|
No tags
|
0x5d52057…
|
57
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x9814577…
|
42
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
|
No tags
|
0xe89c3fd…
|
50
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to 94 high-risk transactions (highest score: 100)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher 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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 10
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 0xf309d1aa41dfebfe0796ac8073853acabbc7fdd9:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 50.00
- Total Suspicious Patterns: 10
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: 2025-07-16 01:20:21 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 16, 2025
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