Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcdd7...f4d7
Published
15 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcdd7...f4d7
Overview
Project Scope
Analysis of wallet 0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7
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 0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7
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 0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 59 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 59 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.
0xb1cc301df1263b78c0a509a2cc8e864c58717e779c26a2588211c4b8b7162bd0: Very short time between transactions
0x84b4bb46945c8f94be0298aed92d7844ab46342367fa7ac9ce4ad78c46780497: Very short time between transactions
0x9817cbf2d1ebbb9dd795a62126da7896771415b9a6f725e482eaf7477fa4492f: Very short time between transactions
0xeab87d3d856b9b0b8f02931146945d0269f96920224328a7643bd9c8b86ed762: Very short time between transactions
0xfe571abc3016625e53ddb1e322ce62b601a62702acd1884604ab6beaef78b362: Very short time between transactions
0x4a921594c8ad6e15e36d2b2031ef195cea3b1b12bdbec13c7efab1b37c71f983: Very short time between transactions
0xaeb5ce269a14aa1d8188927da0a517632770ba99250bf51795c8ee5d28536136: Very short time between transactions
0x20d9bc274d3ce51172f49eceae4f40388f17cc48fa890b6c797d600ff73cdd9a: Very short time between transactions
0xd4b27dd119d2d5c0d546cd64aa082495af14eaa0d91e57f7c7accc63e0439beb: Very short time between transactions
0x9d620625c2b64990f1aa132e999329b314e4de9b01c6b3d2cb6b7098acefc8a2: Very short time between transactions
0x7c6a4a19998c72209194ffd1685e95f547dfd08318ceb84c679040bc2b10a7f6: Very short time between transactions
0xb5915bd59b60497e19d08ac3c95ccdc31cfaf3e8c85201bb5e7d61282ad488bc: Very short time between transactions
0xfb9fbbac4cd56f1888a71a209bebf810036be79b014bc968c7c126f447524562: Very short time between transactions
0xa2bf5eb729896c70b5c85319c2efae7c8a229383587ff04a8e4b0035c963d512: Very short time between transactions
0x84b4bb46945c8f94be0298aed92d7844ab46342367fa7ac9ce4ad78c46780497: Transaction amount halved compared to previous transaction
0xfe571abc3016625e53ddb1e322ce62b601a62702acd1884604ab6beaef78b362: Transaction amount doubled compared to previous transaction
0x9d620625c2b64990f1aa132e999329b314e4de9b01c6b3d2cb6b7098acefc8a2: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xb1cc301df1263b78c0a509a2cc8e864c58717e779c26a2588211c4b8b7162bd0: High frequency transactions (less than 1 minute interval)
0x84b4bb46945c8f94be0298aed92d7844ab46342367fa7ac9ce4ad78c46780497: High frequency transactions (less than 1 minute interval)
0x9817cbf2d1ebbb9dd795a62126da7896771415b9a6f725e482eaf7477fa4492f: High frequency transactions (less than 1 minute interval)
0xeab87d3d856b9b0b8f02931146945d0269f96920224328a7643bd9c8b86ed762: High frequency transactions (less than 1 minute interval)
0xfe571abc3016625e53ddb1e322ce62b601a62702acd1884604ab6beaef78b362: High frequency transactions (less than 1 minute interval)
0x4a921594c8ad6e15e36d2b2031ef195cea3b1b12bdbec13c7efab1b37c71f983: High frequency transactions (less than 1 minute interval)
0xaeb5ce269a14aa1d8188927da0a517632770ba99250bf51795c8ee5d28536136: High frequency transactions (less than 1 minute interval)
0x20d9bc274d3ce51172f49eceae4f40388f17cc48fa890b6c797d600ff73cdd9a: High frequency transactions (less than 1 minute interval)
0xd4b27dd119d2d5c0d546cd64aa082495af14eaa0d91e57f7c7accc63e0439beb: High frequency transactions (less than 1 minute interval)
0x9d620625c2b64990f1aa132e999329b314e4de9b01c6b3d2cb6b7098acefc8a2: High frequency transactions (less than 1 minute interval)
0x7c6a4a19998c72209194ffd1685e95f547dfd08318ceb84c679040bc2b10a7f6: High frequency transactions (less than 1 minute interval)
0xb5915bd59b60497e19d08ac3c95ccdc31cfaf3e8c85201bb5e7d61282ad488bc: High frequency transactions (less than 1 minute interval)
0xfb9fbbac4cd56f1888a71a209bebf810036be79b014bc968c7c126f447524562: High frequency transactions (less than 1 minute interval)
0xa2bf5eb729896c70b5c85319c2efae7c8a229383587ff04a8e4b0035c963d512: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xeab87d3…
|
56
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Regular interval transactions between the same wallets
|
0x84b4bb4…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
|
0xd4b27dd…
|
53
High
|
Rapid multi-hop layering pattern detected
Transaction amount significantly lower than average
Short time frame between transactions
Part of coordinated wallet cluster
Low transaction fee
Transaction amount halved compared to previous transaction
|
0x20d9bc2…
|
51
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
0x7c6a4a1…
|
34
Medium
|
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount doubled compared to previous transaction
|
0x4a92159…
|
67
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
0xb5915bd…
|
32
Medium
|
Repetitive transaction amount
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0xa2bf5eb…
|
56
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0xb1cc301…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 30
Very short time between transactions
Related to 134 high-risk transactions (highest score: 100)
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Receives funds from exploit address: 0xaf620e...
|
0x45aa14e…
|
37
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
|
0xaeb5ce2…
|
65
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Regular interval transactions between the same wallets
|
0xfe571ab…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x9817cbf…
|
43
High
|
High frequency transactions (less than 1 minute interval)
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Part of coordinated wallet cluster
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
|
0xfb9fbba…
|
48
High
|
Repetitive transaction amount
Short time frame between transactions
Rapid multi-hop layering pattern detected
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Part of coordinated wallet cluster
|
0x9d62062…
|
23
Low
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
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 0xcdd75b5f42ade9560c798c1477c2b47d7083f4d7:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 50.60
- 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 19:48:37 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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