Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xe9d0...59f2
Published
15 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xe9d0...59f2
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xe9d07476ee942a33a2b6f84f627738677bcd59f2 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xe9d07476ee942a33a2b6f84f627738677bcd59f2
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xe9d07476ee942a33a2b6f84f627738677bcd59f2
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 16 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 0xe9d07476ee942a33a2b6f84f627738677bcd59f2
1. Blockchain Data Retrieval
- Retrieved 16 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 0xe9d07476ee942a33a2b6f84f627738677bcd59f2
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 62 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 62 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.
0x63c93697635aea7eb6d63cb69448210b0da1359752df92599cd1a8c7be906eeb: Very short time between transactions
0x82b3b2ca158e341a613369cbd7eb33d65136dc7333e95c037e609116813a5fe2: Very short time between transactions
0xe7cf0b6f3a209a2f81c28b8bbfc7be40ff79d21f52e909489f7d9094721664b8: Very short time between transactions
0x7e2cc6d1ca7c33a2864ad4df0d56d3b270b3101e6060d7029aa3232b787e817f: Very short time between transactions
0xb125b219e0b619e1943450b4950ca817d585db488c6b1a4aecde274e1b5ae8ae: Very short time between transactions
0xe0da4195ef98378e20d9a98d00dfded825d3c58f5561b7471980ca2ca5b77014: Very short time between transactions
0x9809129c7678baabd08c04c723311d1b4aca94ce4ac21459adfb712b95a0d68b: Very short time between transactions
0x9ea8c65e432382c6f774005828bc940b1f976b020283d8ba2530b366cc9118b6: Very short time between transactions
0x7dee8b22731f5b14ef4e9480d44354310b3701f9e8226b6b1e4233b14797d6a0: Very short time between transactions
0xecbeb98034fcb3638bab975171206735a444ad3cfc9f0e3ca6b2ba7616d95ab9: Very short time between transactions
0xe82418d94014f47e3c36eb7ea19695c881f5c807c4129a33cbde9e1b4f993047: Very short time between transactions
0xb95a3f29169f2dced53fcb5f80252b8c4e2e2447c5af60d1d16545f055d6d219: Very short time between transactions
0x833254872c46e7f7159fead33e906297efb71cbdbc40df44eebe0286250bb95e: Very short time between transactions
0x90015e1d346bc14abde86593d32cc2478dfdf11ae76f5147b4ded6e47a4f8239: Very short time between transactions
0xecbeb98034fcb3638bab975171206735a444ad3cfc9f0e3ca6b2ba7616d95ab9: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x833254872c46e7f7159fead33e906297efb71cbdbc40df44eebe0286250bb95e: Transaction amount halved compared to previous transaction
0x88f94e520d0e93509c39498bdb3d0f9b04cdbf366f7375579196f6310a114007: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x63c93697635aea7eb6d63cb69448210b0da1359752df92599cd1a8c7be906eeb: High frequency transactions (less than 1 minute interval)
0x82b3b2ca158e341a613369cbd7eb33d65136dc7333e95c037e609116813a5fe2: High frequency transactions (less than 1 minute interval)
0xe7cf0b6f3a209a2f81c28b8bbfc7be40ff79d21f52e909489f7d9094721664b8: High frequency transactions (less than 1 minute interval)
0x7e2cc6d1ca7c33a2864ad4df0d56d3b270b3101e6060d7029aa3232b787e817f: High frequency transactions (less than 1 minute interval)
0xb125b219e0b619e1943450b4950ca817d585db488c6b1a4aecde274e1b5ae8ae: High frequency transactions (less than 1 minute interval)
0xe0da4195ef98378e20d9a98d00dfded825d3c58f5561b7471980ca2ca5b77014: High frequency transactions (less than 1 minute interval)
0x9809129c7678baabd08c04c723311d1b4aca94ce4ac21459adfb712b95a0d68b: High frequency transactions (less than 1 minute interval)
0x9ea8c65e432382c6f774005828bc940b1f976b020283d8ba2530b366cc9118b6: High frequency transactions (less than 1 minute interval)
0x7dee8b22731f5b14ef4e9480d44354310b3701f9e8226b6b1e4233b14797d6a0: High frequency transactions (less than 1 minute interval)
0xecbeb98034fcb3638bab975171206735a444ad3cfc9f0e3ca6b2ba7616d95ab9: High frequency transactions (less than 1 minute interval)
0xe82418d94014f47e3c36eb7ea19695c881f5c807c4129a33cbde9e1b4f993047: High frequency transactions (less than 1 minute interval)
0xb95a3f29169f2dced53fcb5f80252b8c4e2e2447c5af60d1d16545f055d6d219: High frequency transactions (less than 1 minute interval)
0x833254872c46e7f7159fead33e906297efb71cbdbc40df44eebe0286250bb95e: High frequency transactions (less than 1 minute interval)
0x90015e1d346bc14abde86593d32cc2478dfdf11ae76f5147b4ded6e47a4f8239: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x63c9369…
|
50
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
No tags
|
0xe7cf0b6…
|
45
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to high-risk transaction ['0xeeee322fb077f5d6b06664ebe9ceef014af19435b9fd623db4b14a2a6c9f3ce6'] (score: 100)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
|
No tags
|
0x7e2cc6d…
|
69
High
|
Large transaction amount
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
Related to 235 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
No tags
|
0x82b3b2c…
|
56
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
|
No tags
|
0xb125b21…
|
59
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
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
Related to 7 high-risk transactions (highest score: 85)
|
No tags
|
0x9809129…
|
43
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
|
No tags
|
0x7dee8b2…
|
50
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xecbeb98…
|
100
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
Related to 6 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0x363908...
Transaction involves DeFi exploit address: Fake_Phishing936357
|
No tags
|
0xe82418d…
|
41
High
|
Low transaction fee
Transaction amount significantly lower than average
Related to high-risk transaction ['0x27bb8ee747f71520978912b79357ae9e4f45a5c9e2c7e6fd2c7cb2c0e1e5b4c8'] (score: 78)
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xb4a813e…
|
39
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Related to high-risk transaction ['0x5ab90445251cc6049a278212497f2b3e60e1dac0d447733e1392ebde4cb5f3ae'] (score: 79)
|
No tags
|
0x8332548…
|
39
Medium
|
Related to high-risk transaction ['0x76728bb2c479e9e486ab156ae94d155d80b9f7356ceff0ebebe355b94a8824db'] (score: 93)
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
|
No tags
|
0x90015e1…
|
42
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
|
No tags
|
0xe0da419…
|
37
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Very short time between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0x88f94e5…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x9ea8c65…
|
25
Medium
|
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Related to 235 high-risk transactions (highest score: 100)
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xb95a3f2…
|
41
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of coordinated wallet cluster
Short time frame between transactions
Related to high-risk transaction ['0xb5860a27d6ce27726e9f6879f075447e7f051f989f8fb8d61d66cbb3d892e893'] (score: 79)
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
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: 15
Medium Risk Activities: 0
Total Flagged Transactions: 16
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 0xe9d07476ee942a33a2b6f84f627738677bcd59f2:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 46.00
- Total Suspicious Patterns: 16
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 23:54:35 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
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