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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xd41a...3872

Published 15 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xd41a...3872
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Overview

Project Scope

Analysis of wallet 0xd41ae02db378c2aa9d491578acdeb64255d43872 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xd41ae02db378c2aa9d491578acdeb64255d43872
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xd41ae02db378c2aa9d491578acdeb64255d43872 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 25 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 0xd41ae02db378c2aa9d491578acdeb64255d43872 1. Blockchain Data Retrieval - Retrieved 25 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 0xd41ae02db378c2aa9d491578acdeb64255d43872

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 100 Suspicious Transactions: 25

Key Findings: - Automated analysis detected 25 suspicious transactions - Risk assessment indicates very high risk level - 100 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.
0xf1991c0a6df0ea5bada022ab20d77a3674161b219ca9e1aacfb94db50dc70c54: Very short time between transactions
0x310fc2755efc0cda86696d374716968f45d33f33d067db5e710ae91d14f2b412: Transaction amount halved compared to previous transaction 0xe20dd88042cd6c15c8b34dbc4ade158e9bd0d8e2c1114b54fd4c8c4ba7077092: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xeb0a944d7555cbe760831ae0a6e20d06d820c09b20388278459a7240ab33bad1: Transaction amount significantly lower than average 0x4ba0bb66d961c17e1f8a70db289f0f6c296af907f3b3b88e427c172a85e36d8f: Transaction amount doubled compared to previous transaction 0xf989f57844262bb8f963a7514a687c0938b805122bfa58fd26128356ff3c3cb7: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xcbeecdcbcf288d89f7cdb64fae806b5f3a721f0a0fe9c0cc81e2f64cff2a04fe: Transaction amount significantly lower than average 0x389971161c241b81e76208dfac86a5be3a0f2c576685dc02de2b6b4326813b7d: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xb057149a169d048f19965f1e57bea05975a5801cbffc9b7ccc5421bbaac5eea1: Transaction amount halved compared to previous transaction
0xf1991c0a6df0ea5bada022ab20d77a3674161b219ca9e1aacfb94db50dc70c54: High frequency transactions (less than 1 minute interval) 0xdfc8740e48a3d5a7b6aee157297fd306a3fae83ed4b183a306c79aa1fb8777b4: High frequency transactions (less than 1 minute interval) 0x3e4c5a8be795722620ccdb7c58c0fad8ddfee0c3aab06b3c07b329c164e519c4: High frequency transactions (less than 1 minute interval) 0x8d27af9b9ed28ef087f6bc3a5b802512e0a87e6fa07c29473e9057241fab20ee: High frequency transactions (less than 1 minute interval) 0xa602beb5c041234fe1879ccc277bd17a1f72f2bd9b7c607822aab7608a4491f6: High frequency transactions (less than 1 minute interval) 0xd362ca981e32b1a3368aafda953bf027a275787b33b17f35da4c4437ee963f36: High frequency transactions (less than 1 minute interval) 0xfdf53765216885c864b9969461b2dcf23ff5aaa081cac33783cb8ba3b23610ad: High frequency transactions (less than 1 minute interval) 0xf0a53a60ad16cd12129a614d4296a8a961617e9e7e3703c1219ff3c4b08e0a6a: High frequency transactions (less than 1 minute interval) 0x2e30bc40c175ab26c3b614eac04576d36561f88f7fc1d6b9272b36874925f687: High frequency transactions (less than 1 minute interval) 0xe5203d0ef1c965e1d8822dfa24800b7789e23437de5697711793fe51499e3067: High frequency transactions (less than 1 minute interval) 0x76d5ec1dfa81055f5be73ef9f646eb4493d5a20c154cf87c585df78eae757c31: High frequency transactions (less than 1 minute interval) 0x310fc2755efc0cda86696d374716968f45d33f33d067db5e710ae91d14f2b412: High frequency transactions (less than 1 minute interval) 0xf9a648bfd62336402f4d7ccda4e0a447931ce75e0d6b88af2e63d641b3364bd4: High frequency transactions (less than 1 minute interval) 0xe20dd88042cd6c15c8b34dbc4ade158e9bd0d8e2c1114b54fd4c8c4ba7077092: High frequency transactions (less than 1 minute interval) 0xeb0a944d7555cbe760831ae0a6e20d06d820c09b20388278459a7240ab33bad1: High frequency transactions (less than 1 minute interval) 0x4ba0bb66d961c17e1f8a70db289f0f6c296af907f3b3b88e427c172a85e36d8f: High frequency transactions (less than 1 minute interval) 0xf989f57844262bb8f963a7514a687c0938b805122bfa58fd26128356ff3c3cb7: High frequency transactions (less than 1 minute interval) 0xcbeecdcbcf288d89f7cdb64fae806b5f3a721f0a0fe9c0cc81e2f64cff2a04fe: High frequency transactions (less than 1 minute interval) 0x389971161c241b81e76208dfac86a5be3a0f2c576685dc02de2b6b4326813b7d: High frequency transactions (less than 1 minute interval) 0xb057149a169d048f19965f1e57bea05975a5801cbffc9b7ccc5421bbaac5eea1: High frequency transactions (less than 1 minute interval) 0xb960d341e0df4d43dcb75b32b39544d51b7a40064480ae5cc45e4fa265a1761a: High frequency transactions (less than 1 minute interval) 0x79a62e84c638b1efacb185e05951540ba0e74bf7156c2b5b28470956c708083f: High frequency transactions (less than 1 minute interval) 0x2589115ce08cc351210a6a82936c4cd9c7ed63d0f4ef44b8dda1c7058f128d8f: High frequency transactions (less than 1 minute interval) 0x48970d192cc93eca0ea483005651a26a689c5813fc9d4a7f165c59a8f7be0ee1: High frequency transactions (less than 1 minute interval) 0x0bc7bc7733bb222c02719dcf65ebaaa52135a3f1ac44bbfb9cec0243ff412b0a: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
25
Average Risk Score
33.36
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xf1991c0…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0xdfc8740…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0x3e4c5a8…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0x8d27af9…
42 High
Repetitive transaction amount
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0xa602beb…
43 High
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0xd362ca9…
33 Medium
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Regular interval transactions between the same wallets
No tags
0xfdf5376…
52 High
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xf0a53a6…
34 Medium
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 2 high-risk transactions (highest score: 100)
No tags
0x2e30bc4…
53 High
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xe5203d0…
50 High
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0x76d5ec1…
52 High
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0x310fc27…
25 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0xf9a648b…
26 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount doubled compared to previous transaction
No tags
0xe20dd88…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xeb0a944…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x4ba0bb6…
43 High
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xf989f57…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xcbeecdc…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x3899711…
100 High
Repetitive transaction amount
Related to 4 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction involves DeFi exploit address: PolyNetwork Exploiter 1
Local Outlier Factor (LOF) detected as anomaly
Sends funds to exploit address: 0xc8a65f...
No tags
0xb057149…
26 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Address became active after a long inactive period
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount halved compared to previous transaction
No tags
0xb960d34…
32 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Address became active after a long inactive period
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0x79a62e8…
39 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Address became active after a long inactive period
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
No tags
0x2589115…
47 High
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0x48970d1…
35 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
No tags
0x0bc7bc7…
32 Medium
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Related to 16 high-risk transactions (highest score: 100)
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: 21 Medium Risk Activities: 0 Total Flagged Transactions: 25 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 0xd41ae02db378c2aa9d491578acdeb64255d43872: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 33.68 - Total Suspicious Patterns: 25 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: 2025-07-15 20:40:27 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 15, 2025
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Likes 0