Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xfb50...350d
Published
16 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xfb50...350d
Overview
Project Scope
Analysis of wallet 0xfb509f31a9362ca2ffdd596947c4ab42f449350d - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xfb509f31a9362ca2ffdd596947c4ab42f449350d
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xfb509f31a9362ca2ffdd596947c4ab42f449350d
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 14 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 0xfb509f31a9362ca2ffdd596947c4ab42f449350d
1. Blockchain Data Retrieval
- Retrieved 14 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 0xfb509f31a9362ca2ffdd596947c4ab42f449350d
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 55 Suspicious Transactions: 14
Key Findings: - Automated analysis detected 14 suspicious transactions - Risk assessment indicates very high risk level - 55 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.
0x758ed17b9a9a19a75eb3482d8182eb06a28173c2d7c8f750a50d1a3df17eefe0: Very short time between transactions
0xb9abccc2fabcbacb614becea15f926543cc31ac829671c9cbda8ae513d685a1e: Very short time between transactions
0x722d76048cec0e9d56da47e7cdf34a0d3b837bdd9ec5eeb3c17d87f76b7e2666: Very short time between transactions
0x40647cda45b678155c3a7b1b00ca1cf90445ee195a66318362899b5ceb50c47c: Very short time between transactions
0x341dcb563750f6e7543d060f98bb8f6ba350a9aef02ecca391404dbf322b0aeb: Very short time between transactions
0x50c1e97a140301dd26ed1a1d6e7e883a0e9d07a0bdd42e621a05900f4b260391: Very short time between transactions
0x081d5e2dcf63043ab37bf90846bc2c27a279a363fcec1062d4e132d40350e562: Very short time between transactions
0xba8a57785633adc7b5992812279b68ea28fa7bb1cd96dc6681d552426455fd33: Very short time between transactions
0x7aeeb1e65a2f2bf621fcd91b163f188d0f759d8579697899d6a23102446bc875: Very short time between transactions
0xd3dae1da86f7785373bd775b31cacc28e8adbe8de8763af5982bff752f6077fd: Very short time between transactions
0xdb4601201070e42959a8194780f258a638d19a178b4b2d8aba112a41e7205b04: Very short time between transactions
0x0984459a02e6eb5987b60872df8714a4035647fe6fe1c9e519f352fd64318f0a: Very short time between transactions
0x758ed17b9a9a19a75eb3482d8182eb06a28173c2d7c8f750a50d1a3df17eefe0: High frequency transactions (less than 1 minute interval)
0xc6f6047272ff5d651bf90b5bc01b463b12af42d36553a6bc6671fda9bf5f509e: Regular interval transactions between the same wallets
0xb9abccc2fabcbacb614becea15f926543cc31ac829671c9cbda8ae513d685a1e: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x722d76048cec0e9d56da47e7cdf34a0d3b837bdd9ec5eeb3c17d87f76b7e2666: High frequency transactions (less than 1 minute interval)
0x40647cda45b678155c3a7b1b00ca1cf90445ee195a66318362899b5ceb50c47c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x341dcb563750f6e7543d060f98bb8f6ba350a9aef02ecca391404dbf322b0aeb: High frequency transactions (less than 1 minute interval)
0x50c1e97a140301dd26ed1a1d6e7e883a0e9d07a0bdd42e621a05900f4b260391: High frequency transactions (less than 1 minute interval)
0x081d5e2dcf63043ab37bf90846bc2c27a279a363fcec1062d4e132d40350e562: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xba8a57785633adc7b5992812279b68ea28fa7bb1cd96dc6681d552426455fd33: High frequency transactions (less than 1 minute interval)
0x7aeeb1e65a2f2bf621fcd91b163f188d0f759d8579697899d6a23102446bc875: High frequency transactions (less than 1 minute interval)
0xd3dae1da86f7785373bd775b31cacc28e8adbe8de8763af5982bff752f6077fd: High frequency transactions (less than 1 minute interval)
0xdb4601201070e42959a8194780f258a638d19a178b4b2d8aba112a41e7205b04: High frequency transactions (less than 1 minute interval)
0x0984459a02e6eb5987b60872df8714a4035647fe6fe1c9e519f352fd64318f0a: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x758ed17…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 54
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 185 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0x4571bd...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0x834814c…
|
51
High
|
Low transaction fee
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 135.25
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Related to high-risk transaction ['0xc5bc73f9e78ae94c5975ab40118703b6b808d12150d2f3e261e764d3a51b5775'] (score: 86)
Transaction amount significantly higher than average
|
0xc6f6047…
|
50
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 4 similar amounts totaling 135.25
Outgoing structuring detected: 3 similar amounts totaling 101.25
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
0xb9abccc…
|
49
High
|
Low transaction fee
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 135.25
Outgoing structuring detected: 3 similar amounts totaling 101.25
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
|
0x0984459…
|
40
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
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0x341dcb5…
|
57
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
High frequency transactions (less than 1 minute interval)
|
0x40647cd…
|
44
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
High frequency transactions (less than 1 minute interval)
|
0x50c1e97…
|
70
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 4 similar amounts totaling 135.25
Outgoing structuring detected: 3 similar amounts totaling 101.25
Rapid accumulation of large transactions
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
Transaction amount significantly higher than average
|
0x722d760…
|
43
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
|
0x081d5e2…
|
77
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
0x7aeeb1e…
|
59
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
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
0xd3dae1d…
|
55
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
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
|
0xdb46012…
|
56
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
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0xba8a577…
|
46
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
|
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: 14
Medium Risk Activities: 0
Total Flagged Transactions: 14
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 0xfb509f31a9362ca2ffdd596947c4ab42f449350d:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 56.93
- Total Suspicious Patterns: 14
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: 2025-07-16 02:31:38 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 16, 2025
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