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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xb32f...0bab

Published 15 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xb32f...0bab
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Overview

Project Scope

Analysis of wallet 0xb32fcba07ffab544442ba5c496df9e76717c0bab - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xb32fcba07ffab544442ba5c496df9e76717c0bab
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xb32fcba07ffab544442ba5c496df9e76717c0bab 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 0xb32fcba07ffab544442ba5c496df9e76717c0bab 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 0xb32fcba07ffab544442ba5c496df9e76717c0bab

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 27 Suspicious Transactions: 7

Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 27 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.
0x9359b9d279658b79633de1b7f30478d7509c6c70558c4c38fa2bdb9baf01a066: Very short time between transactions 0x0a3470afa6d5bac797c0c4bae0d207aea02234cfb734b79e4f5b69627a98a0ae: Very short time between transactions 0x03631a359005318c4736b203c37b0624eb980f1e3e84e0f40cec569c70e0fcbb: Very short time between transactions 0xbb8013c3202dc9977d4565ce0f6f383a3e7321f7e154df9ddbccdc1bded78f4f: Very short time between transactions 0x5e8c93b0dcf283a0ead192a8a4e18f69a257dee07bbf2e2cdda3ce8ed9446933: Very short time between transactions 0x4f4494d0774d6c9093ae5d8bca8b3a720ffda1c387e7dda18794688ee51a9070: Very short time between transactions
0x03631a359005318c4736b203c37b0624eb980f1e3e84e0f40cec569c70e0fcbb: Transaction amount halved compared to previous transaction 0xbb8013c3202dc9977d4565ce0f6f383a3e7321f7e154df9ddbccdc1bded78f4f: Transaction amount significantly lower than average
0x9359b9d279658b79633de1b7f30478d7509c6c70558c4c38fa2bdb9baf01a066: High frequency transactions (less than 1 minute interval) 0x0a3470afa6d5bac797c0c4bae0d207aea02234cfb734b79e4f5b69627a98a0ae: High frequency transactions (less than 1 minute interval) 0x03631a359005318c4736b203c37b0624eb980f1e3e84e0f40cec569c70e0fcbb: High frequency transactions (less than 1 minute interval) 0xbb8013c3202dc9977d4565ce0f6f383a3e7321f7e154df9ddbccdc1bded78f4f: High frequency transactions (less than 1 minute interval) 0x5e8c93b0dcf283a0ead192a8a4e18f69a257dee07bbf2e2cdda3ce8ed9446933: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x4f4494d0774d6c9093ae5d8bca8b3a720ffda1c387e7dda18794688ee51a9070: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets

Summary

Total Suspicious Transactions
7
Average Risk Score
68.43
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x0a3470a…
100 High
Short time frame between transactions
Receives funds from exploit address: 0xbca02b...
Transaction involves DeFi exploit address: Bybit Exploiter 44
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Part of suspicious wallet community
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
Related to 116 high-risk transactions (highest score: 100)
No tags
0x99ad38d…
85 High
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
No tags
0x03631a3…
45 High
Short time frame between transactions
Transaction amount significantly lower than average
Related to 2 high-risk transactions (highest score: 97)
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
No tags
0xbb8013c…
33 Medium
Short time frame between transactions
Very short time between transactions
Related to 2 high-risk transactions (highest score: 97)
Part of suspicious wallet community
Low transaction fee
Transaction amount doubled compared to previous transaction
No tags
0x9359b9d…
46 High
High frequency transactions (less than 1 minute interval)
Related to high-risk transaction ['0x8218dcf28020c0a115702c9507bc0feb0b92070b45e27afb695351966a921994'] (score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Part of suspicious wallet community
Low transaction fee
Anomaly detected by Isolation Forest
No tags
0x5e8c93b…
85 High
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
Related to 4 high-risk transactions (highest score: 97)
Regular interval transactions between the same wallets
No tags
0x4f4494d…
85 High
Repetitive transaction amount
Short time frame between transactions
Round amount consistent with mixer
Very short time between transactions
Part of suspicious wallet community
Low transaction fee
Related to 4 high-risk transactions (highest score: 97)
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 0xb32fcba07ffab544442ba5c496df9e76717c0bab: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 68.43 - 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: 2025-07-15 16:14:40 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 8
Likes 0