Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x6bde...d42b
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x6bde...d42b
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Overview
Project Scope
Analysis of wallet 0x6bded594edc9384f59da8442c8375038d896d42b - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x6bded594edc9384f59da8442c8375038d896d42b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x6bded594edc9384f59da8442c8375038d896d42b
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 13 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 0x6bded594edc9384f59da8442c8375038d896d42b
1. Blockchain Data Retrieval
- Retrieved 13 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 0x6bded594edc9384f59da8442c8375038d896d42b
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 51 Suspicious Transactions: 13
Key Findings: - Automated analysis detected 13 suspicious transactions - Risk assessment indicates very high risk level - 51 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.
0xc30de0932190a030697ae28b997dfcce41b65d484d1f1a56b594051be5a8e94c: Very short time between transactions
0xe62040d3d77a2ff791b3014288694cd7770837f13f6735f418855291fd5377e4: Very short time between transactions
0x3afbfab5c6f14143078d4f8b55e4e5d209c67ddab73066ae4dd5564cc504e869: Very short time between transactions
0xe074ee7a526a98b6708782fd5e7d1bf152ee731dcf08a01e50078d2ff24cc9c8: Very short time between transactions
0x475d036c1bca9555f85d8e6134185851621797b974d7d9609552ae8b60488adb: Very short time between transactions
0xbe078bdb19ec824880eb95019c36074b8a683406063d37c4a6605d7de603aa98: Very short time between transactions
0x00f6ecfc3306fd68558b993026ccbd089e651b310787c838b7d7d9ffdcedc601: Very short time between transactions
0x3c390578266d45000b30c552213ce73893f26b3059271cf5e2b341e75bbc5d81: Very short time between transactions
0xe7407ed198bf14c98eb6a4a2da1569e17e989d5422f9b5c2f0126b74d64d1051: Very short time between transactions
0x820fd317985dca2fc270b3872aa65e85dee83fc3b281b9189ef4ff8f7af63dbd: Very short time between transactions
0xdc5a3c58b29e2b6eb8649ef1f23f6cf95cf7ce7084f1c5b22612a2e6c043886d: Very short time between transactions
0x14c9f98ef9728fef55d63c9a40ba4551fce236bd94fd086428d6c948257e21e9: Very short time between transactions
0xe7407ed198bf14c98eb6a4a2da1569e17e989d5422f9b5c2f0126b74d64d1051: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xdc5a3c58b29e2b6eb8649ef1f23f6cf95cf7ce7084f1c5b22612a2e6c043886d: Transaction amount significantly lower than average
0xc30de0932190a030697ae28b997dfcce41b65d484d1f1a56b594051be5a8e94c: High frequency transactions (less than 1 minute interval)
0xbd4cae61ba137e874690f539311bd5c617917053078fa520850e8b891bf6806f: Regular interval transactions between the same wallets
0xe62040d3d77a2ff791b3014288694cd7770837f13f6735f418855291fd5377e4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xe074ee7a526a98b6708782fd5e7d1bf152ee731dcf08a01e50078d2ff24cc9c8: High frequency transactions (less than 1 minute interval)
0x475d036c1bca9555f85d8e6134185851621797b974d7d9609552ae8b60488adb: High frequency transactions (less than 1 minute interval)
0xbe078bdb19ec824880eb95019c36074b8a683406063d37c4a6605d7de603aa98: High frequency transactions (less than 1 minute interval)
0x00f6ecfc3306fd68558b993026ccbd089e651b310787c838b7d7d9ffdcedc601: High frequency transactions (less than 1 minute interval)
0x3c390578266d45000b30c552213ce73893f26b3059271cf5e2b341e75bbc5d81: High frequency transactions (less than 1 minute interval)
0xe7407ed198bf14c98eb6a4a2da1569e17e989d5422f9b5c2f0126b74d64d1051: High frequency transactions (less than 1 minute interval)
0x820fd317985dca2fc270b3872aa65e85dee83fc3b281b9189ef4ff8f7af63dbd: High frequency transactions (less than 1 minute interval)
0xdc5a3c58b29e2b6eb8649ef1f23f6cf95cf7ce7084f1c5b22612a2e6c043886d: High frequency transactions (less than 1 minute interval)
0x14c9f98ef9728fef55d63c9a40ba4551fce236bd94fd086428d6c948257e21e9: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
13
Average Risk Score
62.85
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xc30de09…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 45
Receives funds from exploit address: 0xf30257...
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
Very short time between transactions
Related to 32 high-risk transactions (highest score: 100)
|
No tags
|
0x3afbfab…
|
52
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Low transaction fee
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0xbd4cae6…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 46
Receives funds from exploit address: 0x210321...
Anomaly detected by Isolation Forest
Large transaction amount
Related to 27 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
|
No tags
|
0xe62040d…
|
100
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 46
Receives funds from exploit address: 0x210321...
Anomaly detected by Isolation Forest
Large transaction amount
Related to 27 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xe074ee7…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x475d036…
|
52
High
|
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xbe078bd…
|
51
High
|
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x00f6ecf…
|
63
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Related to 4 high-risk transactions (highest score: 78)
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
|
No tags
|
0x3c39057…
|
70
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 4 high-risk transactions (highest score: 80)
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xe7407ed…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 20 high-risk transactions (highest score: 89)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x820fd31…
|
53
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Related to 7 high-risk transactions (highest score: 92)
Very short time between transactions
|
No tags
|
0xdc5a3c5…
|
29
Medium
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Related to 20 high-risk transactions (highest score: 89)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x14c9f98…
|
48
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to 2 high-risk transactions (highest score: 86)
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower 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: 13
Medium Risk Activities: 0
Total Flagged Transactions: 13
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 0x6bded594edc9384f59da8442c8375038d896d42b:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 60.77
- Total Suspicious Patterns: 13
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 06:35:52 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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