Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xe448...0a7b
Published
15 Jul 2025
4 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xe448...0a7b
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xe44812e5fb9f272f3f9c238faa339717071b0a7b - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xe44812e5fb9f272f3f9c238faa339717071b0a7b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xe44812e5fb9f272f3f9c238faa339717071b0a7b
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 15 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 0xe44812e5fb9f272f3f9c238faa339717071b0a7b
1. Blockchain Data Retrieval
- Retrieved 15 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 0xe44812e5fb9f272f3f9c238faa339717071b0a7b
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 57 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 57 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.
0x975e14f478e54e0092c4719a029b21e45cbe46e2736af7918a33682c9cb1fbad: Very short time between transactions
0x8f905710f7c19e5ba1184064a2edc2353bf89c8a5cab37bc754b32965695cc89: Very short time between transactions
0xed577b5bfb845de9272e25b3125368b25d8730fbc889f0e0347c1b5664accf48: Very short time between transactions
0x9da6d680fba9b494a9467a9b0c9487438c241e94392ba70284b08996448e5174: Very short time between transactions
0x7ce0ade9af2e61a6f5c87ab0aec57e4cbd0f582ecb9b14c8d8d2dc69d76b909a: Very short time between transactions
0xa3a300be574dd04e3640814a49e504b46b9c000dccda2d292c8e7dda249a85db: Very short time between transactions
0x647aebafbc00b8810edf9e6fb0f4820d6d9d2ae89f686a8a133ce001df4e1cde: Very short time between transactions
0x9d7f11b9d2905d1aac2d61d725f766610c36a0f07d00938dd2a8013ca7c38499: Very short time between transactions
0xdbcac5057538e7c699d1cf0243acb2e44deac2e1fe339d3f8128a26986f637d8: Very short time between transactions
0x0e6ca1ba6b46d1c6f37a7fdc02de76707278f1552b73f4e93dad70eee06c45da: Very short time between transactions
0x47e4cebb25833a257154c4cc88523b5cf6a7e32e645d0b5f9f3b020845360c72: Very short time between transactions
0x043fa3793c5b9fa937706a98b9076a6027b6861205aa1959d9179625a23382d8: Very short time between transactions
0x975e14f478e54e0092c4719a029b21e45cbe46e2736af7918a33682c9cb1fbad: Transaction amount doubled compared to previous transaction
0xd9f39521f8984745bf3d9f19c9fa39e318f796e9b2a502c653d40bb2615763a1: Transaction amount halved compared to previous transaction
0xf6c337a3a115767321039c486b22c8af3e8c8c30a26ebbeebfeebbee4550b03c: Transaction amount doubled compared to previous transaction
0xed577b5bfb845de9272e25b3125368b25d8730fbc889f0e0347c1b5664accf48: Transaction amount doubled compared to previous transaction
0x7ce0ade9af2e61a6f5c87ab0aec57e4cbd0f582ecb9b14c8d8d2dc69d76b909a: Transaction amount halved compared to previous transaction
0x975e14f478e54e0092c4719a029b21e45cbe46e2736af7918a33682c9cb1fbad: High frequency transactions (less than 1 minute interval)
0x8f905710f7c19e5ba1184064a2edc2353bf89c8a5cab37bc754b32965695cc89: High frequency transactions (less than 1 minute interval)
0xed577b5bfb845de9272e25b3125368b25d8730fbc889f0e0347c1b5664accf48: High frequency transactions (less than 1 minute interval)
0x9da6d680fba9b494a9467a9b0c9487438c241e94392ba70284b08996448e5174: High frequency transactions (less than 1 minute interval)
0x7ce0ade9af2e61a6f5c87ab0aec57e4cbd0f582ecb9b14c8d8d2dc69d76b909a: High frequency transactions (less than 1 minute interval)
0xa3a300be574dd04e3640814a49e504b46b9c000dccda2d292c8e7dda249a85db: High frequency transactions (less than 1 minute interval)
0x647aebafbc00b8810edf9e6fb0f4820d6d9d2ae89f686a8a133ce001df4e1cde: High frequency transactions (less than 1 minute interval)
0x9d7f11b9d2905d1aac2d61d725f766610c36a0f07d00938dd2a8013ca7c38499: High frequency transactions (less than 1 minute interval)
0xdbcac5057538e7c699d1cf0243acb2e44deac2e1fe339d3f8128a26986f637d8: High frequency transactions (less than 1 minute interval)
0x0e6ca1ba6b46d1c6f37a7fdc02de76707278f1552b73f4e93dad70eee06c45da: High frequency transactions (less than 1 minute interval)
0x47e4cebb25833a257154c4cc88523b5cf6a7e32e645d0b5f9f3b020845360c72: High frequency transactions (less than 1 minute interval)
0x043fa3793c5b9fa937706a98b9076a6027b6861205aa1959d9179625a23382d8: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x647aeba…
|
66
High
|
Low transaction fee
Large transaction amount
Transaction amount significantly lower than average
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
|
No tags
|
0x9da6d68…
|
100
High
|
Receives funds from exploit address: 0xbc3e5e...
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 35
|
No tags
|
0xd9f3952…
|
37
Medium
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Part of suspicious wallet community
Related to 7 high-risk transactions (highest score: 85)
|
No tags
|
0x975e14f…
|
100
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Part of suspicious wallet community
Receives funds from exploit address: 0x4c198b...
Very short time between transactions
Transaction amount halved compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 37
Related to 80 high-risk transactions (highest score: 100)
|
No tags
|
0x8f90571…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Part of suspicious wallet community
Receives funds from exploit address: 0x4c198b...
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 37
Related to 80 high-risk transactions (highest score: 100)
|
No tags
|
0xbd3d81c…
|
50
High
|
Related to high-risk transaction ['0xa7fcfc1ee1453e3f5912a8a45319cacc9997b3936efa9110810205842c725b5b'] (score: 85)
Low transaction fee
Large transaction amount
Part of suspicious wallet community
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x7ce0ade…
|
43
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xa3a300b…
|
40
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
|
No tags
|
0xf6c337a…
|
100
High
|
Receives funds from exploit address: 0xbc3e5e...
Low transaction fee
Large transaction amount
Transaction amount significantly lower than average
Related to 88 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 35
|
No tags
|
0x9d7f11b…
|
60
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
|
No tags
|
0xdbcac50…
|
47
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
|
No tags
|
0x0e6ca1b…
|
47
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
|
No tags
|
0x47e4ceb…
|
47
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
|
No tags
|
0x043fa37…
|
47
High
|
Low transaction fee
Large transaction amount
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
|
No tags
|
0xed577b5…
|
100
High
|
Receives funds from exploit address: 0xbc3e5e...
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to 88 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Part of suspicious wallet community
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 35
|
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: 15
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 0xe44812e5fb9f272f3f9c238faa339717071b0a7b:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 65.60
- Total Suspicious Patterns: 15
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 23:04:34 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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