Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc504...3336
Published
15 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc504...3336
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xc504441520e4b790281386fa07fee358e8f23336 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xc504441520e4b790281386fa07fee358e8f23336
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xc504441520e4b790281386fa07fee358e8f23336
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 0xc504441520e4b790281386fa07fee358e8f23336
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 0xc504441520e4b790281386fa07fee358e8f23336
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 46 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 46 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.
0x4ae8ab7788ab5a586dd0a5b9b45a183baa68659e233a3e14a7ceaa22b823cbb9: Very short time between transactions
0x09b64e1c4a54ec4dd9a6573a758d1dfb0e3f013a83779b8733f1c4f4cce9f2be: Very short time between transactions
0x3f93509f799417c6d7ab92b45f2a1db2afc4df6680f5afbe9270fdd2d8bb86f8: Very short time between transactions
0x25527b5482859705040728408caf88fd67658990697b0dace3c3ce6abb6486cd: Very short time between transactions
0xdf3d49941672ff766309309586cf909a4bf2e5a9155f54e7fac2dee4cb9370bb: Very short time between transactions
0x26d1522eca681415a0838f9ae0cfac377e61fa16979b15f964b0c9ab8d9e1c9f: Very short time between transactions
0x6fe128dab5da9944c0f430c41d0c1a83a129f1eb30d12b9719cdafeeb25a5499: Very short time between transactions
0xef8323ac50389a5e2ce5f15b76cd496589a3ead6b0372a7694da6bea5dc4129b: Very short time between transactions
0xabb7db5f0f7d9278d6062d77685616a094c0dc7b3470b758c8ea2cbae1140ad4: Very short time between transactions
0x3abd622a57a49a72fe8539bd614ce4b896c4b441982c33a58bad1b7d09b14447: Very short time between transactions
0x38b5aaa301acb3c216ca0457058d63d251707db4559b2c5cb8a7fd90db11ec67: Very short time between transactions
0x4ae8ab7788ab5a586dd0a5b9b45a183baa68659e233a3e14a7ceaa22b823cbb9: Transaction amount significantly higher than average
0x09b64e1c4a54ec4dd9a6573a758d1dfb0e3f013a83779b8733f1c4f4cce9f2be: Transaction amount significantly higher than average
0x3f93509f799417c6d7ab92b45f2a1db2afc4df6680f5afbe9270fdd2d8bb86f8: Transaction amount significantly higher than average
0xede501986a83700789c4c67c715effa6e1738513dae7453efafb231c40b92389: Transaction amount doubled compared to previous transaction
0x25527b5482859705040728408caf88fd67658990697b0dace3c3ce6abb6486cd: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xdf3d49941672ff766309309586cf909a4bf2e5a9155f54e7fac2dee4cb9370bb: Transaction amount doubled compared to previous transaction
0x26d1522eca681415a0838f9ae0cfac377e61fa16979b15f964b0c9ab8d9e1c9f: Transaction amount doubled compared to previous transaction
0x6fe128dab5da9944c0f430c41d0c1a83a129f1eb30d12b9719cdafeeb25a5499: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xef8323ac50389a5e2ce5f15b76cd496589a3ead6b0372a7694da6bea5dc4129b: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x38b5aaa301acb3c216ca0457058d63d251707db4559b2c5cb8a7fd90db11ec67: Transaction amount halved compared to previous transaction
0x4ae8ab7788ab5a586dd0a5b9b45a183baa68659e233a3e14a7ceaa22b823cbb9: High frequency transactions (less than 1 minute interval)
0x09b64e1c4a54ec4dd9a6573a758d1dfb0e3f013a83779b8733f1c4f4cce9f2be: Regular interval transactions between the same wallets
0x3f93509f799417c6d7ab92b45f2a1db2afc4df6680f5afbe9270fdd2d8bb86f8: High frequency transactions (less than 1 minute interval)
0xdf3d49941672ff766309309586cf909a4bf2e5a9155f54e7fac2dee4cb9370bb: High frequency transactions (less than 1 minute interval)
0x26d1522eca681415a0838f9ae0cfac377e61fa16979b15f964b0c9ab8d9e1c9f: High frequency transactions (less than 1 minute interval)
0x6fe128dab5da9944c0f430c41d0c1a83a129f1eb30d12b9719cdafeeb25a5499: High frequency transactions (less than 1 minute interval)
0xef8323ac50389a5e2ce5f15b76cd496589a3ead6b0372a7694da6bea5dc4129b: High frequency transactions (less than 1 minute interval)
0xabb7db5f0f7d9278d6062d77685616a094c0dc7b3470b758c8ea2cbae1140ad4: High frequency transactions (less than 1 minute interval)
0x3abd622a57a49a72fe8539bd614ce4b896c4b441982c33a58bad1b7d09b14447: High frequency transactions (less than 1 minute interval)
0x38b5aaa301acb3c216ca0457058d63d251707db4559b2c5cb8a7fd90db11ec67: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x4ae8ab7…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 33
Short time frame between transactions
Receives funds from exploit address: 0x09278b...
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Related to 72 high-risk transactions (highest score: 100)
|
No tags
|
0xabb7db5…
|
85
High
|
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x09b64e1…
|
100
High
|
Receives funds from exploit address: 0x23db72...
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 29
Related to 86 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x38b5aaa…
|
48
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x3f93509…
|
100
High
|
Short time frame between transactions
Receives funds from exploit address: 0x23db72...
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 29
Related to 86 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0xede5019…
|
55
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Related to high-risk transaction ['0xc475bf286cc6f4145fb02b67ac4dd82fb0b92a5482616f3716735569951ff829'] (score: 100)
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x3abd622…
|
43
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x25527b5…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xdf3d499…
|
29
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 doubled compared to previous transaction
|
No tags
|
0x26d1522…
|
28
Medium
|
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Related to 149 high-risk transactions (highest score: 100)
Transaction amount halved compared to previous transaction
|
No tags
|
0x6fe128d…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xef8323a…
|
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: 9
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 0xc504441520e4b790281386fa07fee358e8f23336:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 49.00
- 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 18:34:19 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
6
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