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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x5b7b...8319

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x5b7b...8319
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Overview

Project Scope

Analysis of wallet 0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 17 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 0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319 1. Blockchain Data Retrieval - Retrieved 17 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 0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 66 Suspicious Transactions: 17

Key Findings: - Automated analysis detected 17 suspicious transactions - Risk assessment indicates very high risk level - 66 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.
0xc07ccf38ab246aba48fe06a5e250a6d838665b3be071f787307e7eabc3f0d964: Very short time between transactions 0x11169c25aa503221fe2e99f179acae4fdbb12ce868750302df3f6e13008f4ec5: Very short time between transactions 0x9ec9db9a29ff1bb957dc7b08d683bee812a40549279ccaef40f90adb3f56cb05: Very short time between transactions 0x033fbaf176f9b8b8a20ad6cc38d43320aa936e4c91ee54f65af357bb4cddeb07: Very short time between transactions 0xaa0a0c1c1e09a4d9b3a11f28bd09c32c2c4b67551b9e65a159a4c842c313e456: Very short time between transactions 0x574a741f73ac2561d5fdce1a8d3ff53f62385567b6962edee27c32f2ad384b0c: Very short time between transactions 0xfa769b2eeff594082760a0bfd3fd9b68de99d3ff5e4cf5a75dfe4c2674fb0fa4: Very short time between transactions 0x52fa17a4de400c4596e8ce5e8f9e92adc1361e60f3e3e060a68727c10b829273: Very short time between transactions 0x047c586e48e3de3bb1397b7277a261b4dc59cff9dd2e6944df1204aba2253ba4: Very short time between transactions 0xcaca1e43120bc06549368d000fae0f3b1cfbcbc73e6f1ac77a4742b99c7cdb5a: Very short time between transactions 0x3123be78d009937d1e21de56c20010175e1bc25a2989c380fb4d2e8e9a646273: Very short time between transactions 0xec988ebe5ff607da8203fff2d8f0315bff13c34df73bf335bd5eb3f31193eca7: Very short time between transactions 0x0978376726c108515b09717398675db683f33d8422ee7746e60d0c80d8ee9c59: Very short time between transactions 0x7ac5c9715f534e6e8b0db388f4aada187456e150497dc6f23793ba89f23f25bc: Very short time between transactions 0xb0ab7de9cc41e12b4079d91f60ca81138661ba748c33dd0e644b1cc16d441c69: Very short time between transactions
0xc07ccf38ab246aba48fe06a5e250a6d838665b3be071f787307e7eabc3f0d964: Transaction amount significantly higher than average 0x11169c25aa503221fe2e99f179acae4fdbb12ce868750302df3f6e13008f4ec5: Transaction amount doubled compared to previous transaction 0x574a741f73ac2561d5fdce1a8d3ff53f62385567b6962edee27c32f2ad384b0c: Transaction amount halved compared to previous transaction
0xc07ccf38ab246aba48fe06a5e250a6d838665b3be071f787307e7eabc3f0d964: High frequency transactions (less than 1 minute interval) 0x11169c25aa503221fe2e99f179acae4fdbb12ce868750302df3f6e13008f4ec5: High frequency transactions (less than 1 minute interval) 0x9ec9db9a29ff1bb957dc7b08d683bee812a40549279ccaef40f90adb3f56cb05: High frequency transactions (less than 1 minute interval) 0x033fbaf176f9b8b8a20ad6cc38d43320aa936e4c91ee54f65af357bb4cddeb07: High frequency transactions (less than 1 minute interval) 0xaa0a0c1c1e09a4d9b3a11f28bd09c32c2c4b67551b9e65a159a4c842c313e456: High frequency transactions (less than 1 minute interval) 0x574a741f73ac2561d5fdce1a8d3ff53f62385567b6962edee27c32f2ad384b0c: High frequency transactions (less than 1 minute interval) 0xfa769b2eeff594082760a0bfd3fd9b68de99d3ff5e4cf5a75dfe4c2674fb0fa4: High frequency transactions (less than 1 minute interval) 0x52fa17a4de400c4596e8ce5e8f9e92adc1361e60f3e3e060a68727c10b829273: High frequency transactions (less than 1 minute interval) 0x047c586e48e3de3bb1397b7277a261b4dc59cff9dd2e6944df1204aba2253ba4: High frequency transactions (less than 1 minute interval) 0xcaca1e43120bc06549368d000fae0f3b1cfbcbc73e6f1ac77a4742b99c7cdb5a: High frequency transactions (less than 1 minute interval) 0x3123be78d009937d1e21de56c20010175e1bc25a2989c380fb4d2e8e9a646273: High frequency transactions (less than 1 minute interval) 0xec988ebe5ff607da8203fff2d8f0315bff13c34df73bf335bd5eb3f31193eca7: High frequency transactions (less than 1 minute interval) 0x0978376726c108515b09717398675db683f33d8422ee7746e60d0c80d8ee9c59: High frequency transactions (less than 1 minute interval) 0x7ac5c9715f534e6e8b0db388f4aada187456e150497dc6f23793ba89f23f25bc: High frequency transactions (less than 1 minute interval) 0xb0ab7de9cc41e12b4079d91f60ca81138661ba748c33dd0e644b1cc16d441c69: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
17
Average Risk Score
43.47
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x24ff918…
40 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly higher than user average
Related to high-risk transaction ['0xf3c6e08067a2cce3c8b8e67cc3a93b870eb28315aaa04d7a1c11d1b0545eac52'] (score: 78)
Transaction amount doubled compared to previous transaction
No tags
0x574a741…
34 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xb0ab7de…
40 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly higher than user average
Transaction amount doubled compared to previous transaction
Related to 2 high-risk transactions (highest score: 86)
No tags
0xc07ccf3…
100 High
Local Outlier Factor (LOF) detected as anomaly
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Related to 72 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x10a64a1…
37 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Local Outlier Factor (LOF) detected as anomaly
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
0x11169c2…
74 High
Short time frame between transactions
Transaction amount significantly higher than average
Related to 85 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Round amount consistent with mixer
Standard mixer amount detected
Very short time between transactions
Transaction amount halved compared to previous transaction
No tags
0x9ec9db9…
36 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Local Outlier Factor (LOF) detected as anomaly
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x033fbaf…
33 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xaa0a0c1…
34 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xfa769b2…
38 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
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
0x52fa17a…
35 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x047c586…
29 Medium
Short time frame between transactions
Multiple round number transactions
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
0xcaca1e4…
32 Medium
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x3123be7…
34 Medium
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xec988eb…
50 High
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x0978376…
42 High
Short time frame between transactions
Related to 85 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x7ac5c97…
51 High
Short time frame between transactions
Transaction amount significantly higher than average
Related to 3 high-risk transactions (highest score: 86)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
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: 17 Medium Risk Activities: 0 Total Flagged Transactions: 17 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 0x5b7b3dcd92f6f1feb0b0b256602fb1fe2ddc8319: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 43.47 - Total Suspicious Patterns: 17 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 05:00:15 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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