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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x3754...b4b1

Published 14 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x3754...b4b1
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Overview

Project Scope

Analysis of wallet 0x3754c27a82a74d5ef7521608c32010aae2d4b4b1 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x3754c27a82a74d5ef7521608c32010aae2d4b4b1
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x3754c27a82a74d5ef7521608c32010aae2d4b4b1 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 16 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 0x3754c27a82a74d5ef7521608c32010aae2d4b4b1 1. Blockchain Data Retrieval - Retrieved 16 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 0x3754c27a82a74d5ef7521608c32010aae2d4b4b1

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 62 Suspicious Transactions: 16

Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 62 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.
0x3b1c45b3fb8c884084dc28395e6ac06dfced390931a63de67341a681c333436c: Very short time between transactions 0xd852a9b01b51ff97f3f762ebc273e0aa1fdac763d927eb8dbd3f0410e0d929bc: Very short time between transactions 0xeb24af1e8b0fe56ce8d58b76b466e7c92da13e1c15054bc4a21d9d22507fb1ad: Very short time between transactions 0x6800734aaa1c1fa527332e8651efe29840e5cc9ab04e04c159146d7b4c0edbc7: Very short time between transactions 0x6e43311a15d73cac007e81881dbd6c0634b22f0b725429d5ec837d2045d8f440: Very short time between transactions 0x820d73cf7ef02fe596d95c32718b2d1b070cc2b590db0b2aae9a7b6be0783e68: Very short time between transactions 0x2b6b24ba2022d62c8c13c7269223aa14009c2da65e23a74c403c2e8105c6675e: Very short time between transactions 0x73d26bf9d7898c7cc3be6ee8abe0031bd26e6f0d048ee84c2b7e846111f23edc: Very short time between transactions 0x67e7c0679bd48c707187742d03d4f0246625b7b54da9258794b6357a2fc84922: Very short time between transactions 0x472d54899e6e6bbbd03d39c86f7da8e8ec8cd2ef5f13118a1d0a227a8f76fb12: Very short time between transactions 0x50ef937d3b7cbbe95c5f6b94238fd9d6fe5a68b27e8c8cc41eb118ab80283883: Very short time between transactions 0xf39c585746847721ad074125eecdb3e76d5a5fe507eb13fde788860cfb5b65b1: Very short time between transactions 0x15ee3592ee278d9e66511922f75700d3339b1d5a1abf12d64c2b1dc599601b6f: Very short time between transactions 0x61cda55d1294a71e1889f1788fbae620cf2dcbe88071c354ea84f6b5c9b79dcb: Very short time between transactions
0x73d26bf9d7898c7cc3be6ee8abe0031bd26e6f0d048ee84c2b7e846111f23edc: Transaction amount doubled compared to previous transaction 0x472d54899e6e6bbbd03d39c86f7da8e8ec8cd2ef5f13118a1d0a227a8f76fb12: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x3b1c45b3fb8c884084dc28395e6ac06dfced390931a63de67341a681c333436c: High frequency transactions (less than 1 minute interval) 0xd852a9b01b51ff97f3f762ebc273e0aa1fdac763d927eb8dbd3f0410e0d929bc: High frequency transactions (less than 1 minute interval) 0xeb24af1e8b0fe56ce8d58b76b466e7c92da13e1c15054bc4a21d9d22507fb1ad: High frequency transactions (less than 1 minute interval) 0x6800734aaa1c1fa527332e8651efe29840e5cc9ab04e04c159146d7b4c0edbc7: High frequency transactions (less than 1 minute interval) 0x6e43311a15d73cac007e81881dbd6c0634b22f0b725429d5ec837d2045d8f440: High frequency transactions (less than 1 minute interval) 0x820d73cf7ef02fe596d95c32718b2d1b070cc2b590db0b2aae9a7b6be0783e68: High frequency transactions (less than 1 minute interval) 0x2b6b24ba2022d62c8c13c7269223aa14009c2da65e23a74c403c2e8105c6675e: High frequency transactions (less than 1 minute interval) 0x73d26bf9d7898c7cc3be6ee8abe0031bd26e6f0d048ee84c2b7e846111f23edc: High frequency transactions (less than 1 minute interval) 0x67e7c0679bd48c707187742d03d4f0246625b7b54da9258794b6357a2fc84922: High frequency transactions (less than 1 minute interval) 0x472d54899e6e6bbbd03d39c86f7da8e8ec8cd2ef5f13118a1d0a227a8f76fb12: High frequency transactions (less than 1 minute interval) 0x50ef937d3b7cbbe95c5f6b94238fd9d6fe5a68b27e8c8cc41eb118ab80283883: High frequency transactions (less than 1 minute interval) 0xf39c585746847721ad074125eecdb3e76d5a5fe507eb13fde788860cfb5b65b1: High frequency transactions (less than 1 minute interval) 0x15ee3592ee278d9e66511922f75700d3339b1d5a1abf12d64c2b1dc599601b6f: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x61cda55d1294a71e1889f1788fbae620cf2dcbe88071c354ea84f6b5c9b79dcb: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
16
Average Risk Score
56.06
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x3b1c45b…
50 High
Transaction amount significantly higher than average
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
0x8c75309…
29 Medium
Short time frame between transactions
Related to high-risk transaction ['0x1f4491db3a5efa5175f65e2ed09f199373f94028da5cfadc2172f789f687c475'] (score: 92)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x6800734…
57 High
Short time frame between transactions
Large transaction amount
Round amount consistent with mixer
Related to high-risk transaction ['0x1f4491db3a5efa5175f65e2ed09f199373f94028da5cfadc2172f789f687c475'] (score: 92)
Low transaction fee
Standard mixer amount detected
Very short time between transactions
No tags
0x3dcb7fd…
38 Medium
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Related to 2 high-risk transactions (highest score: 77)
Low transaction fee
Transaction amount doubled compared to previous transaction
No tags
0x67e7c06…
44 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
No tags
0xf39c585…
55 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x61cda55…
48 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
No tags
0x6e43311…
58 High
Short time frame between transactions
Large transaction amount
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Low transaction fee
Standard mixer amount detected
Very short time between transactions
No tags
0x820d73c…
74 High
Short time frame between transactions
Large transaction amount
Related to 3 high-risk transactions (highest score: 78)
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Standard mixer amount detected
Rapid accumulation of large transactions
Transaction amount halved compared to previous transaction
No tags
0x2b6b24b…
84 High
Short time frame between transactions
Large transaction amount
Related to 3 high-risk transactions (highest score: 78)
Regular interval transactions between the same wallets
Rapid multi-hop layering pattern detected
Round amount consistent with mixer
Repetitive transaction amount
Low transaction fee
Standard mixer amount detected
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x73d26bf…
63 High
Short time frame between transactions
Large transaction amount
Related to 3 high-risk transactions (highest score: 78)
Round amount consistent with mixer
Repetitive transaction amount
Low transaction fee
Standard mixer amount detected
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x472d548…
27 Medium
Short time frame between transactions
Related to 2 high-risk transactions (highest score: 88)
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x50ef937…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 13
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0xcd7ec0...
Rapid accumulation of large transactions
Related to 39 high-risk transactions (highest score: 100)
No tags
0x15ee359…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 13
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0xcd7ec0...
Rapid accumulation of large transactions
Related to 39 high-risk transactions (highest score: 100)
No tags
0xd852a9b…
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
0xeb24af1…
31 Medium
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Related to high-risk transaction ['0x1f4491db3a5efa5175f65e2ed09f199373f94028da5cfadc2172f789f687c475'] (score: 92)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
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: 16 Medium Risk Activities: 0 Total Flagged Transactions: 16 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 0x3754c27a82a74d5ef7521608c32010aae2d4b4b1: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 56.38 - Total Suspicious Patterns: 16 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 01:46:26 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
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