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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xbe1d...0432

Published 15 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xbe1d...0432
LLM Analysis

Overview

Project Scope

Analysis of wallet 0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 10 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 0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432 1. Blockchain Data Retrieval - Retrieved 10 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 0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10

Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0xcc5ab39ea6f6d2915db1cf6b90f6a5d5ee513b26439815e27d59f13d279e2d10: Very short time between transactions 0xc278db6ebc2da415b52f009053f6deedf043be2536f18ecdcdfd226b9fa59a7b: Very short time between transactions 0xabb1ece36f8b90c756e11aa193ced2989d753d6616395906f0ecea6b1689c4d9: Very short time between transactions 0x14463dd28c7c38c28dbbcfbaf6e1c99d301aa7213599e64e7f8741f38f77f8ee: Very short time between transactions 0xf7ff21782a7fb2d2c8500ff93a3d7899bef8aaaeee501cf7948bc0da1b658654: Very short time between transactions 0xd24f98c76aabb135c4dd3e2a8325a59aaab6deb53e0c75551421c1da39359f8a: Very short time between transactions 0x20ceeba23f76cedeab46a51e7ce763af00820389ebe0155c8478267ded92c989: Very short time between transactions 0x595969d218c36f4eb0cf6cd51eb8d00476dfec81a15004c679e81a7449a56b6a: Very short time between transactions 0x8c4a758243249b8757dd526a1bdda2efbfca28893527a897f4252ed74a313858: Very short time between transactions
0xcc5ab39ea6f6d2915db1cf6b90f6a5d5ee513b26439815e27d59f13d279e2d10: High frequency transactions (less than 1 minute interval) 0xc278db6ebc2da415b52f009053f6deedf043be2536f18ecdcdfd226b9fa59a7b: High frequency transactions (less than 1 minute interval) 0xabb1ece36f8b90c756e11aa193ced2989d753d6616395906f0ecea6b1689c4d9: High frequency transactions (less than 1 minute interval) 0x14463dd28c7c38c28dbbcfbaf6e1c99d301aa7213599e64e7f8741f38f77f8ee: High frequency transactions (less than 1 minute interval) 0xf7ff21782a7fb2d2c8500ff93a3d7899bef8aaaeee501cf7948bc0da1b658654: High frequency transactions (less than 1 minute interval) 0xd24f98c76aabb135c4dd3e2a8325a59aaab6deb53e0c75551421c1da39359f8a: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x20ceeba23f76cedeab46a51e7ce763af00820389ebe0155c8478267ded92c989: High frequency transactions (less than 1 minute interval) 0x595969d218c36f4eb0cf6cd51eb8d00476dfec81a15004c679e81a7449a56b6a: High frequency transactions (less than 1 minute interval) 0x8c4a758243249b8757dd526a1bdda2efbfca28893527a897f4252ed74a313858: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xcc5ab39…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 30
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Related to 129 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0xaf620e...
No tags
0xc278db6…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 30
Transaction amount significantly higher than average
Related to 129 high-risk transactions (highest score: 100)
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0xaf620e...
No tags
0x595969d…
52 High
Short time frame between transactions
Related to high-risk transaction ['0xef18438cc42ea98035962219639d38f8ab8869ac788a2ddee49328f8afd503ce'] (score: 89)
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0x14463dd…
44 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
No tags
0x20ceeba…
43 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
No tags
0xf7ff217…
46 High
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
No tags
0xabb1ece…
43 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
No tags
0xd24f98c…
50 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
No tags
0x56768e1…
49 High
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Related to high-risk transaction ['0xafc3c2d525ef1b79dbaa8c4292441126c8aa296316f4cb775e7a839e05eaf6e7'] (score: 100)
No tags
0x8c4a758…
43 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Part of coordinated wallet cluster
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: 10 Medium Risk Activities: 0 Total Flagged Transactions: 10 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 0xbe1d92a18131543d8ac08a6c54225fbbf0fa0432: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 57.00 - Total Suspicious Patterns: 10 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 17:38:27 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.