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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x4d21...5043

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x4d21...5043
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Overview

Project Scope

Analysis of wallet 0x4d2155ea211d6d645a310cfb3b7917336b665043 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x4d2155ea211d6d645a310cfb3b7917336b665043
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x4d2155ea211d6d645a310cfb3b7917336b665043 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 7 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 0x4d2155ea211d6d645a310cfb3b7917336b665043 1. Blockchain Data Retrieval - Retrieved 7 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 0x4d2155ea211d6d645a310cfb3b7917336b665043

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 28 Suspicious Transactions: 7

Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 28 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.
0xa67d3028049c9182f02749006fbe2a4e86773cc79bab485f894e0f6d33683de1: Very short time between transactions
0x8b66874e73812697706374015738ca2d7e5fe0ae5de16cb70c6d88c64b2f9c4e: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xa9feaf036aeb19fd459356b5bc97fba8a83b368d4f20971212e3f7647a2e922d: Transaction amount doubled compared to previous transaction 0xa905d59a0ad020ae03dbaca70ce6a12c56a805152168e284ac6cc9ec1fae102f: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x23354958855ae5d693f23fce7739dd8737f0111b01241f882ac19bcab117eb0f: Transaction amount doubled compared to previous transaction
0xa67d3028049c9182f02749006fbe2a4e86773cc79bab485f894e0f6d33683de1: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x2e4288427ac33fb5ce12e73f774a3416aad88bd30d84b600363a6b2e4f8a3193: High frequency transactions (less than 1 minute interval) 0x8b66874e73812697706374015738ca2d7e5fe0ae5de16cb70c6d88c64b2f9c4e: High frequency transactions (less than 1 minute interval) 0xa9feaf036aeb19fd459356b5bc97fba8a83b368d4f20971212e3f7647a2e922d: High frequency transactions (less than 1 minute interval) 0xa905d59a0ad020ae03dbaca70ce6a12c56a805152168e284ac6cc9ec1fae102f: High frequency transactions (less than 1 minute interval) 0x42393f13209ca17c5e94c4626c1791c39e50f9e6e4668b0496d6c9af87f82e32: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x23354958855ae5d693f23fce7739dd8737f0111b01241f882ac19bcab117eb0f: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
7
Average Risk Score
72.29
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x2e42884…
100 High
Related to 47 high-risk transactions (highest score: 100)
Short time frame between transactions
Sends funds to exploit address: 0x660bfc...
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Transaction involves DeFi exploit address: Bybit Exploiter 9
Outgoing structuring detected: 3 similar amounts totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xa67d302…
40 High
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Outgoing structuring detected: 3 similar amounts totaling 0.00
Very short time between transactions
No tags
0x8b66874…
33 Medium
Anomaly detected by Isolation Forest
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 0.00
No tags
0xa9feaf0…
100 High
Short time frame between transactions
Sends funds to exploit address: 0x5af75e...
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Transaction involves DeFi exploit address: Bybit Exploiter 18
Outgoing structuring detected: 3 similar amounts totaling 0.00
Very short time between transactions
Related to 32 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xa905d59…
33 Medium
Anomaly detected by Isolation Forest
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 0.00
No tags
0x2335495…
100 High
Short time frame between transactions
Sends funds to exploit address: 0xe9bc55...
Anomaly detected by Isolation Forest
Related to 45 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Transaction involves DeFi exploit address: Bybit Exploiter 43
Outgoing structuring detected: 3 similar amounts totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x42393f1…
100 High
Short time frame between transactions
Related to 31 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 36
High frequency transactions (less than 1 minute interval)
Sends funds to exploit address: 0x9271ed...
Low transaction fee
Part of suspicious wallet community
Outgoing structuring detected: 3 similar amounts totaling 0.00
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
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: 7 Medium Risk Activities: 0 Total Flagged Transactions: 7 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 0x4d2155ea211d6d645a310cfb3b7917336b665043: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 72.29 - Total Suspicious Patterns: 7 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 03:41:34 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 14, 2025
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