Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa529...bc1d
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa529...bc1d
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Overview
Project Scope
Analysis of wallet 0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 17 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 0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d
1. Blockchain Data Retrieval
- Retrieved 17 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 0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 66 Suspicious Transactions: 17
Key Findings: - Automated analysis detected 17 suspicious transactions - Risk assessment indicates very high risk level - 66 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.
0x9586433e062b3262b57fc359f74baa2443ff3b22f142d15996d01556cb37821d: Very short time between transactions
0xe4f60568fa69f6427258278f96ed7c5346f94f194e54c92cb37540ec65f98538: Very short time between transactions
0x76342a9e86412ad2fd1a7d7f1e59d1062423a11da429a61c62941ee7ce0f8d19: Very short time between transactions
0xc9dc1d02378d6d418b7e3686dbe214ed8dfc26bc7e9a276718ba9aacc86119bd: Very short time between transactions
0x23b24c0046873dee5d416c88db5a5048d0b56b114c0cdc26a51687784776f14c: Very short time between transactions
0x9742b4322625f15c8101625e8bdf62b7cc444842272d82e2788da79ccc20067e: Very short time between transactions
0xa28dc3bac87d05de88b2c1f68eca964608207206e0de220b002306c238a95b7d: Very short time between transactions
0x402910b5cbe5e7de076d30a08e23a59e10e27ef25a26042d5c68b11884fd8edc: Very short time between transactions
0xe143c12eb30776f66e8ccae722a4f0d342e671334011d05abc2dbfa4e8cdef74: Very short time between transactions
0x81ed95893eacce5241e56b2b82473f8b82d9de98bfa6b59a55170492fdaf4799: Very short time between transactions
0x61e21da2326b2e93f76989e1e16e05f803e600298775f8e10fa7eefe20c36cba: Very short time between transactions
0x363015fc62564a09ed783693bad25415f3d26f681e49c22245868922a8d455d2: Very short time between transactions
0x3c753e93123beb0019820861c6a6c4ec36947fc7500314e6109204b2c17f63d1: Very short time between transactions
0x680e514a71dba7e6f041f4b9380da1a425ce2d2490a96181de7c6e57a7dbdd01: Very short time between transactions
0xa4ee8d2dbeeebc69b6a11786bf6a1ed0da03ea64d33bd50011df7b6eac1ad634: Very short time between transactions
0x9586433e062b3262b57fc359f74baa2443ff3b22f142d15996d01556cb37821d: Transaction amount significantly higher than average
0x23b24c0046873dee5d416c88db5a5048d0b56b114c0cdc26a51687784776f14c: Transaction amount halved compared to previous transaction
0x9586433e062b3262b57fc359f74baa2443ff3b22f142d15996d01556cb37821d: High frequency transactions (less than 1 minute interval)
0xe4f60568fa69f6427258278f96ed7c5346f94f194e54c92cb37540ec65f98538: High frequency transactions (less than 1 minute interval)
0x76342a9e86412ad2fd1a7d7f1e59d1062423a11da429a61c62941ee7ce0f8d19: High frequency transactions (less than 1 minute interval)
0xc9dc1d02378d6d418b7e3686dbe214ed8dfc26bc7e9a276718ba9aacc86119bd: High frequency transactions (less than 1 minute interval)
0x23b24c0046873dee5d416c88db5a5048d0b56b114c0cdc26a51687784776f14c: High frequency transactions (less than 1 minute interval)
0x9742b4322625f15c8101625e8bdf62b7cc444842272d82e2788da79ccc20067e: High frequency transactions (less than 1 minute interval)
0xa28dc3bac87d05de88b2c1f68eca964608207206e0de220b002306c238a95b7d: High frequency transactions (less than 1 minute interval)
0x402910b5cbe5e7de076d30a08e23a59e10e27ef25a26042d5c68b11884fd8edc: High frequency transactions (less than 1 minute interval)
0xe143c12eb30776f66e8ccae722a4f0d342e671334011d05abc2dbfa4e8cdef74: High frequency transactions (less than 1 minute interval)
0x81ed95893eacce5241e56b2b82473f8b82d9de98bfa6b59a55170492fdaf4799: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x61e21da2326b2e93f76989e1e16e05f803e600298775f8e10fa7eefe20c36cba: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x363015fc62564a09ed783693bad25415f3d26f681e49c22245868922a8d455d2: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x3c753e93123beb0019820861c6a6c4ec36947fc7500314e6109204b2c17f63d1: High frequency transactions (less than 1 minute interval)
0x680e514a71dba7e6f041f4b9380da1a425ce2d2490a96181de7c6e57a7dbdd01: High frequency transactions (less than 1 minute interval)
0xa4ee8d2dbeeebc69b6a11786bf6a1ed0da03ea64d33bd50011df7b6eac1ad634: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
17
Average Risk Score
45.35
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x9586433…
|
100
High
|
Transaction amount significantly higher than average
Related to 132 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0x96244d...
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 32
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
|
No tags
|
0x23b24c0…
|
44
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xc9dc1d0…
|
63
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x9742b43…
|
60
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
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
|
0xe143c12…
|
58
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x3c753e9…
|
46
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xa4ee8d2…
|
31
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x8f7a1e0…
|
50
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xe4f6056…
|
31
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
|
No tags
|
0x76342a9…
|
52
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x4e6a5f0…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xa28dc3b…
|
44
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x81ed958…
|
56
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x61e21da…
|
40
High
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x363015f…
|
39
Medium
|
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x680e514…
|
31
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x402910b…
|
43
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
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: 17
Medium Risk Activities: 0
Total Flagged Transactions: 17
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 0xa529f953b56fe244f9b1f0f1143a00ddae65bc1d:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 48.94
- Total Suspicious Patterns: 17
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 12:24:05 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
Views
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