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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x6446...d616

Published 14 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x6446...d616
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Overview

Project Scope

Analysis of wallet 0x644668b392d3040c6ae100e789985834d615d616 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x644668b392d3040c6ae100e789985834d615d616
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x644668b392d3040c6ae100e789985834d615d616 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 10 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 0x644668b392d3040c6ae100e789985834d615d616 1. Blockchain Data Retrieval - Retrieved 10 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 0x644668b392d3040c6ae100e789985834d615d616

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10

Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0x924ba2c644c76d961b285db788ec829314bcde7373e2bb9ba18d2d301f698ef4: Very short time between transactions 0x4313211755065bad907e5e7113b83c6406be824085e184d87d3b955c3ababdd4: Very short time between transactions 0xc6426465f8fa3cac4bdc5c5a5ad85721c8dfeb1dc80a9b9a425fc1f52c438c7a: Very short time between transactions 0x4ab24bbf7a5f86747a79dd4f3f0f8ee21a1feb259f1dfc5d9b5fa8be8910275a: Very short time between transactions 0x2df01df2f15b7379988ffcfb78459da9d8568c45f0321293384f41bc73f4fde3: Very short time between transactions 0x341335ffb69690925f401b7d801429b81f23bfc6c9bacfd51f8aa72463830b8d: Very short time between transactions 0x6587cfa80f5b9017fb8eac070ed1351819a67ef11b2c91605128ff62ade9e9a4: Very short time between transactions 0x1d3014238e8c57f43726b2b8370d23b3be379a4cc71e794cd49fe733f88b6dd3: Very short time between transactions 0xa4712eeddecc5c9e6a17809330fbdbc010eef40736121828acd5498cefe1da86: Very short time between transactions
0xc6426465f8fa3cac4bdc5c5a5ad85721c8dfeb1dc80a9b9a425fc1f52c438c7a: Transaction amount significantly lower than average 0x4ab24bbf7a5f86747a79dd4f3f0f8ee21a1feb259f1dfc5d9b5fa8be8910275a: Transaction amount significantly lower than average 0x341335ffb69690925f401b7d801429b81f23bfc6c9bacfd51f8aa72463830b8d: Transaction amount significantly lower than average 0x6587cfa80f5b9017fb8eac070ed1351819a67ef11b2c91605128ff62ade9e9a4: Transaction amount significantly higher than average 0x1d3014238e8c57f43726b2b8370d23b3be379a4cc71e794cd49fe733f88b6dd3: Transaction amount significantly higher than average 0xa4712eeddecc5c9e6a17809330fbdbc010eef40736121828acd5498cefe1da86: Transaction amount significantly higher than average 0xd292c51b16d362e95f34ac0f52669eb9a585f0c471320b0a8da0360e494352ae: Transaction amount significantly lower than average
0x924ba2c644c76d961b285db788ec829314bcde7373e2bb9ba18d2d301f698ef4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x4313211755065bad907e5e7113b83c6406be824085e184d87d3b955c3ababdd4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xc6426465f8fa3cac4bdc5c5a5ad85721c8dfeb1dc80a9b9a425fc1f52c438c7a: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x4ab24bbf7a5f86747a79dd4f3f0f8ee21a1feb259f1dfc5d9b5fa8be8910275a: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x2df01df2f15b7379988ffcfb78459da9d8568c45f0321293384f41bc73f4fde3: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x341335ffb69690925f401b7d801429b81f23bfc6c9bacfd51f8aa72463830b8d: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x6587cfa80f5b9017fb8eac070ed1351819a67ef11b2c91605128ff62ade9e9a4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x1d3014238e8c57f43726b2b8370d23b3be379a4cc71e794cd49fe733f88b6dd3: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xa4712eeddecc5c9e6a17809330fbdbc010eef40736121828acd5498cefe1da86: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
11
Average Risk Score
48.64
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xd292c51…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x924ba2c…
51 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
No tags
0x4313211…
48 High
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xc642646…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x4ab24bb…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x2df01df…
36 Medium
Multiple round number transactions
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x341335f…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x6587cfa…
100 High
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Part of suspicious wallet community
Address became active after a long inactive period
Related to 77 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
Transaction amount significantly lower than average
No tags
0x1d30142…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 2
Sends funds to exploit address: 0xa4b2fd...
Repetitive transaction amount
Low transaction fee
Part of suspicious wallet community
Related to 4 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xa4712ee…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 5
Anomaly detected by Isolation Forest
Sends funds to exploit address: 0xdd9007...
Regular interval transactions between the same wallets
Low transaction fee
Part of suspicious wallet community
Related to 58 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
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: 6 Medium Risk Activities: 0 Total Flagged Transactions: 10 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 0x644668b392d3040c6ae100e789985834d615d616: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 43.50 - Total Suspicious Patterns: 10 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 05:50:36 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