Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xd9f8...42d8
Published
15 Jul 2025
3 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xd9f8...42d8
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xd9f8a0849373a2078be56d1f28f16ec73a8042d8 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xd9f8a0849373a2078be56d1f28f16ec73a8042d8
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xd9f8a0849373a2078be56d1f28f16ec73a8042d8
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 12 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 0xd9f8a0849373a2078be56d1f28f16ec73a8042d8
1. Blockchain Data Retrieval
- Retrieved 12 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 0xd9f8a0849373a2078be56d1f28f16ec73a8042d8
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 47 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 47 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.
0x65e86482fbb12fb3d347c7245c2e22b97cdec98b73e3e00c0990c6913991b620: Very short time between transactions
0xfe9c9bfef8f5a2255a297e95fe2f1350eba59e8fb932df208ab1bad24d4ee78d: Very short time between transactions
0xd4cdd165487b69ee1990edc2cb91ed4c3597739fededb75d239b3ed34ddcf29b: Very short time between transactions
0x24081a896ac5008296d2e55c8ed8e8d9c78f1a1e769b143e13f2c4030b538b0f: Very short time between transactions
0x8b9fa52098bbfed0838beebc3eb03776169577b032984ba62a35f867487994e4: Very short time between transactions
0xf3a89a85574f9cc1325dc499d57f62d27698c50d4d17b00a16b2f13ea6bfe8c6: Very short time between transactions
0x18c9ceefa27b7d7a7d2cf868b050c6f5a415dcdbebf55c41de48d9808fe936ba: Very short time between transactions
0x9175ec8c778710ef5489c1f7479dd932e32a48ee6fc902ee372ebf88226b3a2e: Very short time between transactions
0x17fff6a3d36090beb6d306ab351eab584a2ce586d2fe63583dc10df2b0f3c208: Very short time between transactions
0x2c254bfb169474b20aca9d70840bd6ab92749a9f025ce7ea01a2776ae36ad133: Very short time between transactions
0x65e86482fbb12fb3d347c7245c2e22b97cdec98b73e3e00c0990c6913991b620: Transaction amount significantly higher than average
0xf3a89a85574f9cc1325dc499d57f62d27698c50d4d17b00a16b2f13ea6bfe8c6: Transaction amount halved compared to previous transaction
0x2c254bfb169474b20aca9d70840bd6ab92749a9f025ce7ea01a2776ae36ad133: Transaction amount doubled compared to previous transaction
0xdada7761a01e431cf7e99bc9fe8d05aff2ec00a038956a0efb95c0a51c2848e1: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x65e86482fbb12fb3d347c7245c2e22b97cdec98b73e3e00c0990c6913991b620: High frequency transactions (less than 1 minute interval)
0xfe9c9bfef8f5a2255a297e95fe2f1350eba59e8fb932df208ab1bad24d4ee78d: High frequency transactions (less than 1 minute interval)
0xd4cdd165487b69ee1990edc2cb91ed4c3597739fededb75d239b3ed34ddcf29b: High frequency transactions (less than 1 minute interval)
0x24081a896ac5008296d2e55c8ed8e8d9c78f1a1e769b143e13f2c4030b538b0f: High frequency transactions (less than 1 minute interval)
0x8b9fa52098bbfed0838beebc3eb03776169577b032984ba62a35f867487994e4: High frequency transactions (less than 1 minute interval)
0xf3a89a85574f9cc1325dc499d57f62d27698c50d4d17b00a16b2f13ea6bfe8c6: High frequency transactions (less than 1 minute interval)
0x18c9ceefa27b7d7a7d2cf868b050c6f5a415dcdbebf55c41de48d9808fe936ba: High frequency transactions (less than 1 minute interval)
0x9175ec8c778710ef5489c1f7479dd932e32a48ee6fc902ee372ebf88226b3a2e: High frequency transactions (less than 1 minute interval)
0x17fff6a3d36090beb6d306ab351eab584a2ce586d2fe63583dc10df2b0f3c208: High frequency transactions (less than 1 minute interval)
0x2c254bfb169474b20aca9d70840bd6ab92749a9f025ce7ea01a2776ae36ad133: High frequency transactions (less than 1 minute interval)
0x8bdacd624e44d63f5e23ff1b8b75a2174b4c62fe4ca7c45814d0de75917e4864: Regular interval transactions between the same wallets
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x65e8648…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Receives funds from exploit address: 0x83ef5e...
Transaction involves DeFi exploit address: Bybit Exploiter 28
Very short time between transactions
Related to 113 high-risk transactions (highest score: 100)
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x8b9fa52…
|
54
High
|
Related to 211 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xd4cdd16…
|
30
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x17fff6a…
|
44
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
No tags
|
0xdada776…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x9175ec8…
|
55
High
|
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Short time frame between transactions
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x2c254bf…
|
51
High
|
High frequency transactions (less than 1 minute interval)
Rapid accumulation of large transactions
Very short time between transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xfe9c9bf…
|
47
High
|
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
|
No tags
|
0x24081a8…
|
43
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
|
No tags
|
0x18c9cee…
|
44
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
No tags
|
0xf3a89a8…
|
25
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Related to 211 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
|
No tags
|
0x8bdacd6…
|
54
High
|
Related to 2 high-risk transactions (highest score: 81)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
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: 11
Medium Risk Activities: 0
Total Flagged Transactions: 12
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 0xd9f8a0849373a2078be56d1f28f16ec73a8042d8:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 45.58
- Total Suspicious Patterns: 12
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: 2025-07-15 21:32:46 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 15, 2025
Views
3
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