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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x3945...7b69

Published 14 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x3945...7b69
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Overview

Project Scope

Analysis of wallet 0x394580f5fd6bba027ef124ebf2474f2577c37b69 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x394580f5fd6bba027ef124ebf2474f2577c37b69
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x394580f5fd6bba027ef124ebf2474f2577c37b69 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 9 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 0x394580f5fd6bba027ef124ebf2474f2577c37b69 1. Blockchain Data Retrieval - Retrieved 9 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 0x394580f5fd6bba027ef124ebf2474f2577c37b69

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 35 Suspicious Transactions: 9

Key Findings: - Automated analysis detected 9 suspicious transactions - Risk assessment indicates very high risk level - 35 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.
0x19a36f85dea9168b466fb2a816ed739cdaf733bc0a3f86bea9f6d2e94b0f815b: Very short time between transactions 0x2e9aa3c1ca2c07534551b4e3037e643152f9253c2d79923a0b7a0a9c147de1fd: Very short time between transactions 0xbb2e830df1960e44d945124072910ecbf4bd36adad71f467330b22ba48e1ce04: Very short time between transactions 0xff27054f413e7fd7d5fb1d164cb738e0e4424845ecaa576eba8a6ce2d2f0ca47: Very short time between transactions 0x38d16ce0a9c38e64bba8214ca05e120039f8a0e0d9596eed0e7495949533876b: Very short time between transactions 0x0aa2588cfbd926af32de4b7db588e2c2ffe50a4216a3f7c4cbe4717784b2bf78: Very short time between transactions 0x2b1e3e4a8a4347c9500c6e377ecb6843f5b749b3e5ac689851a73c7c8aba6ea9: Very short time between transactions 0xf4d21d477d93bc11488c91d38a4dd92b9e28f47d250a887226b5e7c0f0d7279c: Very short time between transactions
0x2b1e3e4a8a4347c9500c6e377ecb6843f5b749b3e5ac689851a73c7c8aba6ea9: Transaction amount halved compared to previous transaction
0x19a36f85dea9168b466fb2a816ed739cdaf733bc0a3f86bea9f6d2e94b0f815b: High frequency transactions (less than 1 minute interval) 0x2e9aa3c1ca2c07534551b4e3037e643152f9253c2d79923a0b7a0a9c147de1fd: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xbb2e830df1960e44d945124072910ecbf4bd36adad71f467330b22ba48e1ce04: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xff27054f413e7fd7d5fb1d164cb738e0e4424845ecaa576eba8a6ce2d2f0ca47: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x38d16ce0a9c38e64bba8214ca05e120039f8a0e0d9596eed0e7495949533876b: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x0aa2588cfbd926af32de4b7db588e2c2ffe50a4216a3f7c4cbe4717784b2bf78: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x2b1e3e4a8a4347c9500c6e377ecb6843f5b749b3e5ac689851a73c7c8aba6ea9: High frequency transactions (less than 1 minute interval) 0xf4d21d477d93bc11488c91d38a4dd92b9e28f47d250a887226b5e7c0f0d7279c: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
9
Average Risk Score
42.44
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x19a36f8…
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
Related to 13 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 29
No tags
0x2b1e3e4…
39 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 120.14
Very short time between transactions
Outgoing structuring detected: 4 similar amounts totaling 162.14
Outgoing structuring detected: 5 similar amounts totaling 202.14
No tags
0xf4d21d4…
51 High
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
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
0x2e9aa3c…
44 High
Short time frame between transactions
Anomaly detected by Isolation Forest
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
0xbb2e830…
33 Medium
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 120.14
Very short time between transactions
Outgoing structuring detected: 4 similar amounts totaling 162.14
Outgoing structuring detected: 5 similar amounts totaling 202.14
No tags
0xff27054…
44 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
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
0x38d16ce…
54 High
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 120.14
Very short time between transactions
Outgoing structuring detected: 4 similar amounts totaling 162.14
Outgoing structuring detected: 5 similar amounts totaling 202.14
No tags
0x0aa2588…
60 High
Short time frame between transactions
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
Transaction amount halved compared to previous transaction
No tags
0x980df02…
44 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
Very short time between transactions
Outgoing structuring detected: 4 similar amounts totaling 162.14
Outgoing structuring detected: 5 similar amounts totaling 202.14
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: 9 Medium Risk Activities: 0 Total Flagged Transactions: 9 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 0x394580f5fd6bba027ef124ebf2474f2577c37b69: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 52.11 - Total Suspicious Patterns: 9 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 01:57:09 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
Views 7
Likes 0