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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x9213...e4de

Published 14 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x9213...e4de
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Overview

Project Scope

Analysis of wallet 0x92130e805dce49605ebd99f5892d83c89c05e4de - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x92130e805dce49605ebd99f5892d83c89c05e4de
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x92130e805dce49605ebd99f5892d83c89c05e4de 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 15 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 0x92130e805dce49605ebd99f5892d83c89c05e4de 1. Blockchain Data Retrieval - Retrieved 15 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 0x92130e805dce49605ebd99f5892d83c89c05e4de

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 60 Suspicious Transactions: 15

Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 60 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.
0xef937fc92174f310fe967a196ad27da82071319e5711372917223feb91c3e2aa: Very short time between transactions
0xef937fc92174f310fe967a196ad27da82071319e5711372917223feb91c3e2aa: Transaction amount significantly higher than average 0xecf2eda6d683e5548911ab9e943967250817417643f94af762de00ff083de817: Transaction amount halved compared to previous transaction
0xef937fc92174f310fe967a196ad27da82071319e5711372917223feb91c3e2aa: High frequency transactions (less than 1 minute interval) 0xecf2eda6d683e5548911ab9e943967250817417643f94af762de00ff083de817: High frequency transactions (less than 1 minute interval) 0x63cfa5787138ddd13381ac1c67ed17ca7eecb971cb65b2d8e644c404fb3dae62: High frequency transactions (less than 1 minute interval) 0xe8b52939d39c26483499c8a78aca0eded3a98664c913ae9fb2ede0930bafbe9f: High frequency transactions (less than 1 minute interval) 0x934a0c0575a0047dc140ea6023e1518c7ca5a9e5bffdffe1cfe684e848b62ecb: High frequency transactions (less than 1 minute interval) 0x0ef16c098915b4b3c7a8a5a6ca7432282ff19bbae816dddfc538e25a1d4610ef: High frequency transactions (less than 1 minute interval) 0xdf712c2c0f877d43530ccf8be8208e292b9854290f2ab653bde71e5cbbb72472: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xddb04621a4d067e24dab388a423ba9a67e675369a5280e6bcf8c4ce456cd1595: High frequency transactions (less than 1 minute interval) 0x1f2bf9daaf517e4939723a5c6161c1356c59a22f7a1ba959f743e43f9c219fde: High frequency transactions (less than 1 minute interval) 0x4638cbbe783001675c0d64000fbb2d3452d26d31a4f02ebc6d60cb7fdce4c720: High frequency transactions (less than 1 minute interval) 0xa390b90553ae2b4019cd67eef8b63c98ebdf0a9f11925cc12e34d23a24cd29a7: High frequency transactions (less than 1 minute interval) 0x34db30d2b7e5b876c78fa8317b5372f64644d3ae371e5b59de28ec5c65cf1ced: High frequency transactions (less than 1 minute interval) 0xe3076f0969243c65d797c39873ebf89742872d5884542ef988c9f56c8ac5c931: High frequency transactions (less than 1 minute interval) 0x8d51d93cf031e83d686c809f1c954d6c3c30ab95874dff2b2c542453cd802ce0: High frequency transactions (less than 1 minute interval) 0x90060c61365856cb28b1a06a5bb4a04756b1624d4a3e73022efdb49ef416c0a4: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
15
Average Risk Score
45.93
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xef937fc…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Related to 110 high-risk transactions (highest score: 100)
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
Very short time between transactions
No tags
0xecf2eda…
49 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xe8b5293…
36 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x0ef16c0…
45 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
No tags
0xddb0462…
62 High
Short time frame between transactions
Anomaly detected by Isolation Forest
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
Rapid accumulation of large transactions
No tags
0x1f2bf9d…
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
0x63cfa57…
53 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xdf712c2…
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
0x4638cbb…
35 Medium
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Transaction amount significantly lower than average
No tags
0xa390b90…
44 High
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x34db30d…
43 High
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
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
0xe3076f0…
32 Medium
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x8d51d93…
33 Medium
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x90060c6…
32 Medium
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x934a0c0…
46 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Related to high-risk transaction ['0x882e30dcbc3f368c19437b4e34055d7b60745c102ad3b42af680d7e5477d74b9'] (score: 85)
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: 15 Medium Risk Activities: 0 Total Flagged Transactions: 15 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 0x92130e805dce49605ebd99f5892d83c89c05e4de: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 47.60 - Total Suspicious Patterns: 15 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 10:22:56 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 6
Likes 0