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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xb5cc...e67f

Published 15 Jul 2025 12 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xb5cc...e67f
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Overview

Project Scope

Analysis of wallet 0xb5cca2a7826db13ec12036c70e483fd7917ee67f - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xb5cca2a7826db13ec12036c70e483fd7917ee67f
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xb5cca2a7826db13ec12036c70e483fd7917ee67f 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 8 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 0xb5cca2a7826db13ec12036c70e483fd7917ee67f 1. Blockchain Data Retrieval - Retrieved 8 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 0xb5cca2a7826db13ec12036c70e483fd7917ee67f

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 29 Suspicious Transactions: 8

Key Findings: - Automated analysis detected 8 suspicious transactions - Risk assessment indicates very high risk level - 29 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.
0x9fcdb08c93a927b4570933dca83577667aecd4dcb4315d46ac39f8ba1ef64760: Very short time between transactions 0x9c48f0b2788645cd43ae3afbdfbdf0897fd1d27aa02544826064859014a83194: Very short time between transactions 0x972ef878b75c82b46a29b3752bb46bed28483ff5e2efa57a9429075a9229dd31: Very short time between transactions 0x4e52421089d2857f42acf3a18e03d3c7e0d3670c4cac4eb9dfa1ff527acc0b74: Very short time between transactions 0xa1e42aa620107bdd844787f01b497835e1426c4890a75414811ec27ba642b849: Very short time between transactions 0x200568ccce6ae566d07ef8762993e1749b06bc5f05b6b7b820d78d579bbc092e: Very short time between transactions 0x01a5dcc67ce98085d37ba424228e2b71538b069e7fd8b66eed7d103f9316d05a: Very short time between transactions
0x9fcdb08c93a927b4570933dca83577667aecd4dcb4315d46ac39f8ba1ef64760: High frequency transactions (less than 1 minute interval) 0x9c48f0b2788645cd43ae3afbdfbdf0897fd1d27aa02544826064859014a83194: High frequency transactions (less than 1 minute interval) 0x4e52421089d2857f42acf3a18e03d3c7e0d3670c4cac4eb9dfa1ff527acc0b74: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0xa1e42aa620107bdd844787f01b497835e1426c4890a75414811ec27ba642b849: High frequency transactions (less than 1 minute interval) 0x01a5dcc67ce98085d37ba424228e2b71538b069e7fd8b66eed7d103f9316d05a: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
9
Average Risk Score
100.0
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x01a5dcc…
100 High
Repetitive transaction amount
Short time frame between transactions
Sends funds to exploit address: 0xcd1a4a...
Transaction involves DeFi exploit address: Bybit Exploiter 31
Very short time between transactions
Multiple round number transactions
Related to 87 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
No tags
0x972ef87…
100 High
High frequency transactions (less than 1 minute interval)
Sends funds to exploit address: 0x83ef5e...
Transaction involves DeFi exploit address: Bybit Exploiter 28
Very short time between transactions
Multiple round number transactions
Part of suspicious wallet community
Low transaction fee
Related to 91 high-risk transactions (highest score: 100)
No tags
0x200568c…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0xcd1a4a...
Transaction involves DeFi exploit address: Bybit Exploiter 31
Very short time between transactions
Multiple round number transactions
Related to 87 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
No tags
0x9fcdb08…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0x51e9d8...
Related to 93 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction involves DeFi exploit address: Bybit Exploiter 24
Part of suspicious wallet community
Low transaction fee
No tags
0x4e52421…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0x83ef5e...
Transaction involves DeFi exploit address: Bybit Exploiter 28
Very short time between transactions
Multiple round number transactions
Part of suspicious wallet community
Low transaction fee
Related to 91 high-risk transactions (highest score: 100)
No tags
0x6338590…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0x23db72...
Transaction involves DeFi exploit address: Bybit Exploiter 29
Multiple round number transactions
Related to 77 high-risk transactions (highest score: 100)
Part of suspicious wallet community
Low transaction fee
No tags
0x9c48f0b…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0x51e9d8...
Related to 93 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 24
Part of suspicious wallet community
Low transaction fee
No tags
0xa1e42aa…
100 High
Repetitive transaction amount
Sends funds to exploit address: 0x83ef5e...
Transaction involves DeFi exploit address: Bybit Exploiter 28
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
Related to 91 high-risk transactions (highest score: 100)
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: 8 Medium Risk Activities: 0 Total Flagged Transactions: 8 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 0xb5cca2a7826db13ec12036c70e483fd7917ee67f: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 100.00 - Total Suspicious Patterns: 8 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 16:34:24 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
Views 12
Likes 0