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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x4cfe...349a

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x4cfe...349a
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Overview

Project Scope

Analysis of wallet 0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a 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 0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a 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 0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a

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.
0xd4de2433342bc406e3a31e7274b476a83a18953f3ec352513a9e40c275ff136e: Very short time between transactions 0x5eece0d1bd1d650e21e79cbe5d188308c96a8b6416adf59b9805ef1fd55e6d59: Very short time between transactions 0x0684d50544558de8546eba994af9ed5dec8279e23720e1d641baf7319da37fd0: Very short time between transactions 0x4ad34c81a6bd82f757f6405908822ae61674b89d342b842796108df357f4c5fe: Very short time between transactions 0x33edcc53e532fe42c1f6d1d5b96b84a81bf3ed8b2ab03ec5381af429322e4ad2: Very short time between transactions 0x5cfd2ebf8e52b990d26f9a9772b51a5316ae48d58a94b1d06cddb91cf111ec33: Very short time between transactions 0x7c5a0d6c09def62b0d23c2a8c6b611e1aa025c6070670c10034eb32e1fbfb97e: Very short time between transactions 0x7bf4210e775d683c6fe12d2706e35bb6c005afc3f10643b511857e13cb8f6859: Very short time between transactions 0xa64363f0566bf714cb1f5bf255d6d159a060cfa6b1821d9183ae8d309a1073fe: Very short time between transactions 0x23cb363b18b0663a4b081b805e1ec8f01e97c3cc5a4bc04a72d433ef27838999: Very short time between transactions 0x0dbdab9d586ef2e5a8c76be7f797ad112f1c1b16c4d281d95417f4a2f4e9588e: Very short time between transactions 0xc11aabbd06889ccbf15c5ca9b90645a8c70fcc06f3afebc9f1dbf16bb8a2fe5a: Very short time between transactions 0x42e616f0fd1bf7ca873cf4a83d3542d31dfdadc8a4bf246543ca936cf978a778: Very short time between transactions
0x886321abbcda882aed6d683eb6910a702d5bd09b75505810ded91daf0d683535: Transaction amount halved compared to previous transaction 0x7c5a0d6c09def62b0d23c2a8c6b611e1aa025c6070670c10034eb32e1fbfb97e: Transaction amount doubled compared to previous transaction
0xd4de2433342bc406e3a31e7274b476a83a18953f3ec352513a9e40c275ff136e: High frequency transactions (less than 1 minute interval) 0x5eece0d1bd1d650e21e79cbe5d188308c96a8b6416adf59b9805ef1fd55e6d59: High frequency transactions (less than 1 minute interval) 0x0684d50544558de8546eba994af9ed5dec8279e23720e1d641baf7319da37fd0: High frequency transactions (less than 1 minute interval) 0x4ad34c81a6bd82f757f6405908822ae61674b89d342b842796108df357f4c5fe: High frequency transactions (less than 1 minute interval) 0x33edcc53e532fe42c1f6d1d5b96b84a81bf3ed8b2ab03ec5381af429322e4ad2: High frequency transactions (less than 1 minute interval) 0x5cfd2ebf8e52b990d26f9a9772b51a5316ae48d58a94b1d06cddb91cf111ec33: High frequency transactions (less than 1 minute interval) 0x7c5a0d6c09def62b0d23c2a8c6b611e1aa025c6070670c10034eb32e1fbfb97e: High frequency transactions (less than 1 minute interval) 0x7bf4210e775d683c6fe12d2706e35bb6c005afc3f10643b511857e13cb8f6859: High frequency transactions (less than 1 minute interval) 0xa64363f0566bf714cb1f5bf255d6d159a060cfa6b1821d9183ae8d309a1073fe: High frequency transactions (less than 1 minute interval) 0x23cb363b18b0663a4b081b805e1ec8f01e97c3cc5a4bc04a72d433ef27838999: High frequency transactions (less than 1 minute interval) 0x0dbdab9d586ef2e5a8c76be7f797ad112f1c1b16c4d281d95417f4a2f4e9588e: High frequency transactions (less than 1 minute interval) 0xc11aabbd06889ccbf15c5ca9b90645a8c70fcc06f3afebc9f1dbf16bb8a2fe5a: High frequency transactions (less than 1 minute interval) 0x42e616f0fd1bf7ca873cf4a83d3542d31dfdadc8a4bf246543ca936cf978a778: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
14
Average Risk Score
50.57
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x23cb363…
68 High
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
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
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x886321a…
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
0x5eece0d…
52 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x0684d50…
30 Medium
Short time frame between transactions
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
0x4ad34c8…
60 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.01
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x33edcc5…
51 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.01
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x5cfd2eb…
30 Medium
Short time frame between transactions
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
0x7c5a0d6…
68 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 108.01
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x7bf4210…
64 High
Short time frame between transactions
Regular interval transactions between the same wallets
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
No tags
0xa64363f…
70 High
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
Rapid multi-hop layering pattern detected
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
0x0dbdab9…
67 High
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
Rapid multi-hop layering pattern detected
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xc11aabb…
68 High
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Anomaly detected by Isolation Forest
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
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x42e616f…
36 Medium
Multiple round number transactions
Low transaction fee
Repetitive transaction amount
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Very short time between transactions
No tags
0xd4de243…
100 High
Transaction amount significantly higher than average
Receives funds from exploit address: 0x23db72...
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Related to 35 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 29
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: 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 0x4cfe1427dfdb9ddda7beea0a5fc74240c158349a: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 56.79 - 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: 2025-07-14 03:40:55 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
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Likes 0