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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x3833...80ef

Published 14 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x3833...80ef
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Overview

Project Scope

Analysis of wallet 0x38335b08e9062999fd622418b4b44a355ada80ef - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x38335b08e9062999fd622418b4b44a355ada80ef
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x38335b08e9062999fd622418b4b44a355ada80ef 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 0x38335b08e9062999fd622418b4b44a355ada80ef 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 0x38335b08e9062999fd622418b4b44a355ada80ef

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 43 Suspicious Transactions: 11

Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 43 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.
0x5413f91df21cbd40adf03eea9925fcb86669677eda977ee7a5f6f352f24e1e7c: Very short time between transactions 0x7cba205dc4176db9b827828658347b78d0a0271a8b291f720d254921055df47b: Very short time between transactions 0x0d937010fd68dc884f522a2113dfe482926b3110e7827d2985c221009841bb55: Very short time between transactions 0xc8b71e23ae92f2cdfb9d5e1f232cc0e672fc9c05f1e859f67ae55f81dac481d5: Very short time between transactions 0xf0e9128744ff3e53196518bd45ce7f97c440e3641a8c352edc3760c3e025cf7d: Very short time between transactions 0x56e9181913c2180382a8506640b607d78e7eac800c02a204f9d83462f444ddab: Very short time between transactions 0x3162d6ae4b0ef2abaff0a1fdbede076953ef2d3b40b232b4c1817f5a66a58b4f: Very short time between transactions 0x4853c1f67bc6563f01e96267fe0461cf95b3154ee2509f77371bae7777f75d64: Very short time between transactions 0x6d05c53a99f3348300fb91d15dbbe90c67934a2ed9782b5693acb0c7d7a10ed6: Very short time between transactions 0xa3111391cfa7f580c0e951da227e9d7ccd6b3aba80001a672446bb3bc947f190: Very short time between transactions
0x5413f91df21cbd40adf03eea9925fcb86669677eda977ee7a5f6f352f24e1e7c: Transaction amount significantly higher than average 0xc8b71e23ae92f2cdfb9d5e1f232cc0e672fc9c05f1e859f67ae55f81dac481d5: Transaction amount halved compared to previous transaction
0x5413f91df21cbd40adf03eea9925fcb86669677eda977ee7a5f6f352f24e1e7c: High frequency transactions (less than 1 minute interval) 0x7cba205dc4176db9b827828658347b78d0a0271a8b291f720d254921055df47b: High frequency transactions (less than 1 minute interval) 0x0d937010fd68dc884f522a2113dfe482926b3110e7827d2985c221009841bb55: High frequency transactions (less than 1 minute interval) 0xc8b71e23ae92f2cdfb9d5e1f232cc0e672fc9c05f1e859f67ae55f81dac481d5: High frequency transactions (less than 1 minute interval) 0xf0e9128744ff3e53196518bd45ce7f97c440e3641a8c352edc3760c3e025cf7d: High frequency transactions (less than 1 minute interval) 0x56e9181913c2180382a8506640b607d78e7eac800c02a204f9d83462f444ddab: High frequency transactions (less than 1 minute interval) 0x3162d6ae4b0ef2abaff0a1fdbede076953ef2d3b40b232b4c1817f5a66a58b4f: High frequency transactions (less than 1 minute interval) 0x4853c1f67bc6563f01e96267fe0461cf95b3154ee2509f77371bae7777f75d64: High frequency transactions (less than 1 minute interval) 0x6d05c53a99f3348300fb91d15dbbe90c67934a2ed9782b5693acb0c7d7a10ed6: High frequency transactions (less than 1 minute interval) 0xa3111391cfa7f580c0e951da227e9d7ccd6b3aba80001a672446bb3bc947f190: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
11
Average Risk Score
49.73
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x0d93701…
48 High
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
No tags
0xc8b71e2…
41 High
Short time frame between transactions
High volume of small transactions to the same wallet
Related to 6 high-risk transactions (highest score: 82)
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
0x56e9181…
51 High
Short time frame between transactions
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0xfd59765…
38 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Multiple round number transactions
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x7cba205…
41 High
Short time frame between transactions
High volume of small transactions to the same wallet
Multiple round number transactions
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xf0e9128…
37 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Repetitive transaction amount
Related to 5 high-risk transactions (highest score: 86)
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x3162d6a…
39 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Related to 5 high-risk transactions (highest score: 86)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x4853c1f…
53 High
Short time frame between transactions
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x6d05c53…
50 High
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Low transaction fee
Related to 5 high-risk transactions (highest score: 80)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xa311139…
49 High
Short time frame between transactions
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x5413f91…
100 High
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Address became active after a long inactive period
Related to 48 high-risk transactions (highest score: 100)
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 0x38335b08e9062999fd622418b4b44a355ada80ef: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 49.73 - 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 01:51:26 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