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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x6b59...8c65

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x6b59...8c65
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Overview

Project Scope

Analysis of wallet 0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 11 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 0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65 1. Blockchain Data Retrieval - Retrieved 11 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 0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 44 Suspicious Transactions: 11

Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 44 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.
0xb77e4e261693ce5d5ab7362c5099239329b75eaf6ef90d4cb12c3afe215e79e3: Very short time between transactions 0xeac65314e9a52d86b3087d46d128edd069673cff847b930e5c1df1687ff9ff9a: Very short time between transactions 0x073ebd5f21b873fdf11e87dfbcb84505552361f1f6a3246e53cc1275f695a9e1: Very short time between transactions 0x448b040562b91a7e48886885caf4013e8630d2386faf86259336fd394fdcf089: Very short time between transactions 0xa2e0ca2195980ec9144c2a6cb1f02993be3430b2e95da5f9f3bb9552214bbb3a: Very short time between transactions 0x518ef50216ccd427d50e6a3e17b8d11f22aef5c9fa5160388d4676e36b138c74: Very short time between transactions 0xb3db5281a580bfdff2935366a40b8c10a21d766df53cd3203a91a0d044145bd7: Very short time between transactions 0x808e4e117b6cc7df14718a5096e6d9f7a3d0a7358b5749ba8b1663fef7da5677: Very short time between transactions 0x5e3149364016ec1236aca696cfe721c95a922c809224b1130e754dfcea928b06: Very short time between transactions 0xcd09825987410be87da37b27fbd8569fa9b32f439a08d91686865f718506b351: Very short time between transactions
0x518ef50216ccd427d50e6a3e17b8d11f22aef5c9fa5160388d4676e36b138c74: Transaction amount significantly lower than average 0x808e4e117b6cc7df14718a5096e6d9f7a3d0a7358b5749ba8b1663fef7da5677: Transaction amount significantly lower than average 0x5e3149364016ec1236aca696cfe721c95a922c809224b1130e754dfcea928b06: Transaction amount significantly lower than average
0xb77e4e261693ce5d5ab7362c5099239329b75eaf6ef90d4cb12c3afe215e79e3: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xeac65314e9a52d86b3087d46d128edd069673cff847b930e5c1df1687ff9ff9a: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x073ebd5f21b873fdf11e87dfbcb84505552361f1f6a3246e53cc1275f695a9e1: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x448b040562b91a7e48886885caf4013e8630d2386faf86259336fd394fdcf089: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xacb8330c23bd936281ab1b0c9d72eb766a35c7f5754f5754030a4c2b8b22bfda: Regular interval transactions between the same wallets 0xa2e0ca2195980ec9144c2a6cb1f02993be3430b2e95da5f9f3bb9552214bbb3a: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x518ef50216ccd427d50e6a3e17b8d11f22aef5c9fa5160388d4676e36b138c74: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xb3db5281a580bfdff2935366a40b8c10a21d766df53cd3203a91a0d044145bd7: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x808e4e117b6cc7df14718a5096e6d9f7a3d0a7358b5749ba8b1663fef7da5677: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x5e3149364016ec1236aca696cfe721c95a922c809224b1130e754dfcea928b06: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xcd09825987410be87da37b27fbd8569fa9b32f439a08d91686865f718506b351: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
11
Average Risk Score
58.55
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xcd09825…
42 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Related to high-risk transaction ['0xc311010ba535f2b0ac753cf5198dcb824f9ef9807627a92b2363412706b837b5'] (score: 83)
No tags
0xb77e4e2…
100 High
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Address became active after a long inactive period
Related to 86 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xeac6531…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Repetitive transaction amount
Related to 86 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x073ebd5…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Related to 86 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x448b040…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Repetitive transaction amount
Related to 86 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xacb8330…
45 High
Short time frame between transactions
Transaction amount significantly higher than average
Related to 101 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0xa2e0ca2…
37 Medium
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x518ef50…
26 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xb3db528…
39 Medium
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x808e4e1…
26 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x5e31493…
29 Medium
Short time frame between transactions
Related to 10 high-risk transactions (highest score: 87)
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
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: 11 Medium Risk Activities: 0 Total Flagged Transactions: 11 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 0x6b598c9bdd138d2f35f6897aa6fb296ad5b38c65: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 58.55 - Total Suspicious Patterns: 11 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 06:32:46 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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