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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x5bc4...4581

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x5bc4...4581
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Overview

Project Scope

Analysis of wallet 0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 18 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 0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581 1. Blockchain Data Retrieval - Retrieved 18 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 0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 71 Suspicious Transactions: 18

Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 71 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.
0xbfbdce866602184eb59544e51863ca85c240adc26ca83ba984a9690e71d76f3c: Very short time between transactions 0x8508c0fde7ef09d2a2b89cf3bf391d316bf127bb2180d3deeeec52e29671d5bd: Very short time between transactions 0x10c5514498d8e78d2dca233818d4756e0803e342f94f1b3af375659d7f453304: Very short time between transactions 0x368dca839df7c1ab95fddc8ffa9a0fb5acb57f92da126ed2239595a1ca29b72c: Very short time between transactions 0x48897adeb605f49d3915e49cc5c3d4cdf1bd5177b7d42f163b9591fc9a292034: Very short time between transactions 0x1b944edf47ee4b4a4f2ca0d378c8d3a6a3489248686a18d16d62481de3a8c58e: Very short time between transactions 0x2b8b25e0a3e93545f7f0973b53369472c03d823180511b18fcd18e1842dfc9cb: Very short time between transactions 0x90b82555494a41353455a81f9e867f7bf931a2830fd9277c83135a1559396c19: Very short time between transactions 0x989ab6ea3da06d2d8c6c0f69f441091ab57629011ec51a98a9a5d8e0a70874ad: Very short time between transactions 0x6b13c2932f5b86e52c650123f5cf0899fcef5ba0912f1c2248dff7999f4bb97c: Very short time between transactions 0x26dca0c74416aa0dae7ffd866f0b76a5f67ec3755be7bc3573b81443208afc80: Very short time between transactions 0x445a0818255e8f31539acfc7cce1872aea23d314bd1013a678a5f3a19f04229f: Very short time between transactions 0x0c7ff4fc01c367df64661442950aa55db72cda2fb75c349a570d6264f36b228a: Very short time between transactions 0xcbce0a3ca08a3cc0d1dd88e984520917a4698bc1ec5571a27bcbead03632c9bb: Very short time between transactions 0xcedd13f91db7333d595af870be6d690fa9d9d8ef56c8196a3a7a288d426790a9: Very short time between transactions 0xcc4587ebc704343ea934e4cb6b05e9993da4df24570819b186efe541e8c5aad0: Very short time between transactions 0x4c4b56af62726506d5ac7c6a840f65819148852a9eb0950998e674d808fc03b7: Very short time between transactions
0xbfbdce866602184eb59544e51863ca85c240adc26ca83ba984a9690e71d76f3c: High frequency transactions (less than 1 minute interval) 0x8508c0fde7ef09d2a2b89cf3bf391d316bf127bb2180d3deeeec52e29671d5bd: High frequency transactions (less than 1 minute interval) 0x10c5514498d8e78d2dca233818d4756e0803e342f94f1b3af375659d7f453304: High frequency transactions (less than 1 minute interval) 0x368dca839df7c1ab95fddc8ffa9a0fb5acb57f92da126ed2239595a1ca29b72c: High frequency transactions (less than 1 minute interval) 0x48897adeb605f49d3915e49cc5c3d4cdf1bd5177b7d42f163b9591fc9a292034: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x1b944edf47ee4b4a4f2ca0d378c8d3a6a3489248686a18d16d62481de3a8c58e: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x2b8b25e0a3e93545f7f0973b53369472c03d823180511b18fcd18e1842dfc9cb: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x90b82555494a41353455a81f9e867f7bf931a2830fd9277c83135a1559396c19: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x989ab6ea3da06d2d8c6c0f69f441091ab57629011ec51a98a9a5d8e0a70874ad: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x6b13c2932f5b86e52c650123f5cf0899fcef5ba0912f1c2248dff7999f4bb97c: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x26dca0c74416aa0dae7ffd866f0b76a5f67ec3755be7bc3573b81443208afc80: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x445a0818255e8f31539acfc7cce1872aea23d314bd1013a678a5f3a19f04229f: High frequency transactions (less than 1 minute interval) 0x0c7ff4fc01c367df64661442950aa55db72cda2fb75c349a570d6264f36b228a: High frequency transactions (less than 1 minute interval) 0xcbce0a3ca08a3cc0d1dd88e984520917a4698bc1ec5571a27bcbead03632c9bb: High frequency transactions (less than 1 minute interval) 0xcedd13f91db7333d595af870be6d690fa9d9d8ef56c8196a3a7a288d426790a9: High frequency transactions (less than 1 minute interval) 0xcc4587ebc704343ea934e4cb6b05e9993da4df24570819b186efe541e8c5aad0: High frequency transactions (less than 1 minute interval) 0x4c4b56af62726506d5ac7c6a840f65819148852a9eb0950998e674d808fc03b7: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
18
Average Risk Score
48.28
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xbfbdce8…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Related to 62 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
0x368dca8…
60 High
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xcc4587e…
56 High
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x445a081…
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
0x0c7ff4f…
50 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Repetitive transaction amount
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x48897ad…
53 High
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
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
0x1b944ed…
59 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
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x2b8b25e…
43 High
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
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
0x90b8255…
49 High
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x989ab6e…
47 High
Short time frame between transactions
Rapid accumulation of large transactions
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
Very short time between transactions
No tags
0x6b13c29…
51 High
Short time frame between transactions
Regular interval transactions between the same wallets
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
0x26dca0c…
46 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
No tags
0x4c4b56a…
33 Medium
Short time frame between transactions
Fan-in structuring detected: 3 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
0x8508c0f…
44 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0x10c5514…
48 High
Short time frame between transactions
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
No tags
0xc3625e8…
41 High
Short time frame between transactions
Large transaction amount
Rapid multi-hop layering pattern detected
Low transaction fee
Related to high-risk transaction ['0xb059f624cb7e8644c4b6b4e87948d62749a307375fcdbb0e7986f6ca76fe2d12'] (score: 85)
Transaction amount halved compared to previous transaction
No tags
0xcbce0a3…
31 Medium
Short time frame between transactions
Multiple round number transactions
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
0xcedd13f…
50 High
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
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: 18 Medium Risk Activities: 0 Total Flagged Transactions: 18 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 0x5bc474b7d88241b663e9ea4aaa4cf017b86f4581: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 50.78 - Total Suspicious Patterns: 18 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 05:02:05 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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