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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xfdfe...8d05

Published 16 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xfdfe...8d05

Overview

Project Scope

Analysis of wallet 0xfdfe0ca411ebe6887e3920c86f57657823ed8d05 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xfdfe0ca411ebe6887e3920c86f57657823ed8d05
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xfdfe0ca411ebe6887e3920c86f57657823ed8d05 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 26 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 0xfdfe0ca411ebe6887e3920c86f57657823ed8d05 1. Blockchain Data Retrieval - Retrieved 26 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 0xfdfe0ca411ebe6887e3920c86f57657823ed8d05

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 97 Suspicious Transactions: 26

Key Findings: - Automated analysis detected 26 suspicious transactions - Risk assessment indicates very high risk level - 97 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.
0x7a3a625c0b0adc5f3370bd4585671294f1d037cc2c1d90f26a50b475b5038d3f: Very short time between transactions 0xc64c2cb0eb78573db22873704c3a8d5b85077def4866e7ba4e8bcc005faf2717: Very short time between transactions 0x77df0a68c956c4bad82fd3893ee26fbb432716859420e49073c8d2f998a71f60: Very short time between transactions 0xf798493e440c6c84968fcbeef933f9c994f5fec92ce2faea28a42340fcd19f97: Very short time between transactions 0xf8475afb39b009b52a9a714f6927b45f936a75762d642d62e856ed54127c3e8c: Very short time between transactions 0xa00090e8bce6815efdce924f4da6bbe59c7ecf4c9ae0aa29e35994679191f98c: Very short time between transactions 0xc059ab13525bb7a16a8e46826620dc494ad4de9fef9e864e14dc177710d5cc57: Very short time between transactions 0xf77fc87d5810354cbbf57410a62764102bb6e7a02bb94bbe82e9c4f1bafb4621: Very short time between transactions 0xa8ff4bcb976799060b817c43dae5f4f69600f7f3d9844d1140f43f4ed6541efc: Very short time between transactions 0x282d9df254772c3d9005773936c83f0b2068bbdb8fcc0381f025c3ba6f799e29: Very short time between transactions 0x049175db15fd56d2dee2de7e0df2508ed53cd2cc25c9db4cb247a636eb5f79a2: Very short time between transactions 0x61d11a9ad3f1ff204aa38028b6480ca5f5ca8641e175f8c28a3877050346eec7: Very short time between transactions 0x777a92a663afbf404e60b0b9258662a34340b5667d044536b968d037085e8f2d: Very short time between transactions 0xbf76a5f919be54a5bd389b643d80c8e832f1f5b56187d5af86193bafa4cb1599: Very short time between transactions 0xbe91b54e12790fb289371d591101c9668006442d3921a69abda0161e1149183f: Very short time between transactions 0xc577931537d65d6b120d207909ee5059ce64b083196b3ca35559c6ad78265230: Very short time between transactions 0x04cb8a95a561094866c7b725907aa8269c599c550c4a25458ea0a8e0f1d899b0: Very short time between transactions 0x689d2fd9c1d6358f43a3fa6f514df42b13b183b1501efb18dcbd3b6cba032db0: Very short time between transactions 0xf342b0d2f1f643b769d7a3aa4f82e0d9b526e2eb03d99de1be8f76d4b6ccb652: Very short time between transactions 0x6e6c57c55f672afaaafa63fd85feeb1722c3a6a920ba171b784662c35b4bda48: Very short time between transactions 0x94a0caa6efe9f6f45c8764a0cb5a024a891fb5e897808b38e680af2a46e4e04f: Very short time between transactions 0x5c3c16e8485f1a37b92661ef7492d916f6856c24c9bad4f8add74a35de6a7561: Very short time between transactions 0xa0b47ccdd6e25ea9bc4b70a5d1efe492611a70358998b29de906228f383ebd17: Very short time between transactions
0x7a3a625c0b0adc5f3370bd4585671294f1d037cc2c1d90f26a50b475b5038d3f: Transaction amount significantly higher than average 0xc64c2cb0eb78573db22873704c3a8d5b85077def4866e7ba4e8bcc005faf2717: Transaction amount doubled compared to previous transaction 0xf798493e440c6c84968fcbeef933f9c994f5fec92ce2faea28a42340fcd19f97: Transaction amount doubled compared to previous transaction 0xf8475afb39b009b52a9a714f6927b45f936a75762d642d62e856ed54127c3e8c: Transaction amount doubled compared to previous transaction 0xf77fc87d5810354cbbf57410a62764102bb6e7a02bb94bbe82e9c4f1bafb4621: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x689d2fd9c1d6358f43a3fa6f514df42b13b183b1501efb18dcbd3b6cba032db0: Transaction amount halved compared to previous transaction 0x94a0caa6efe9f6f45c8764a0cb5a024a891fb5e897808b38e680af2a46e4e04f: Transaction amount doubled compared to previous transaction
0x7a3a625c0b0adc5f3370bd4585671294f1d037cc2c1d90f26a50b475b5038d3f: High frequency transactions (less than 1 minute interval) 0xf798493e440c6c84968fcbeef933f9c994f5fec92ce2faea28a42340fcd19f97: High frequency transactions (less than 1 minute interval) 0xc059ab13525bb7a16a8e46826620dc494ad4de9fef9e864e14dc177710d5cc57: High frequency transactions (less than 1 minute interval) 0xf77fc87d5810354cbbf57410a62764102bb6e7a02bb94bbe82e9c4f1bafb4621: High frequency transactions (less than 1 minute interval) 0xa8ff4bcb976799060b817c43dae5f4f69600f7f3d9844d1140f43f4ed6541efc: High frequency transactions (less than 1 minute interval) 0x282d9df254772c3d9005773936c83f0b2068bbdb8fcc0381f025c3ba6f799e29: High frequency transactions (less than 1 minute interval) 0x049175db15fd56d2dee2de7e0df2508ed53cd2cc25c9db4cb247a636eb5f79a2: High frequency transactions (less than 1 minute interval) 0x61d11a9ad3f1ff204aa38028b6480ca5f5ca8641e175f8c28a3877050346eec7: High frequency transactions (less than 1 minute interval) 0x777a92a663afbf404e60b0b9258662a34340b5667d044536b968d037085e8f2d: High frequency transactions (less than 1 minute interval) 0xbf76a5f919be54a5bd389b643d80c8e832f1f5b56187d5af86193bafa4cb1599: High frequency transactions (less than 1 minute interval) 0xbe91b54e12790fb289371d591101c9668006442d3921a69abda0161e1149183f: High frequency transactions (less than 1 minute interval) 0xc577931537d65d6b120d207909ee5059ce64b083196b3ca35559c6ad78265230: High frequency transactions (less than 1 minute interval) 0x04cb8a95a561094866c7b725907aa8269c599c550c4a25458ea0a8e0f1d899b0: High frequency transactions (less than 1 minute interval) 0x689d2fd9c1d6358f43a3fa6f514df42b13b183b1501efb18dcbd3b6cba032db0: High frequency transactions (less than 1 minute interval) 0xf342b0d2f1f643b769d7a3aa4f82e0d9b526e2eb03d99de1be8f76d4b6ccb652: High frequency transactions (less than 1 minute interval) 0x6e6c57c55f672afaaafa63fd85feeb1722c3a6a920ba171b784662c35b4bda48: High frequency transactions (less than 1 minute interval) 0x94a0caa6efe9f6f45c8764a0cb5a024a891fb5e897808b38e680af2a46e4e04f: High frequency transactions (less than 1 minute interval) 0x5c3c16e8485f1a37b92661ef7492d916f6856c24c9bad4f8add74a35de6a7561: High frequency transactions (less than 1 minute interval) 0xa0b47ccdd6e25ea9bc4b70a5d1efe492611a70358998b29de906228f383ebd17: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors
0x7a3a625…
100 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
Related to 223 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 22
Very short time between transactions
Receives funds from exploit address: 0xfc9266...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0xf77fc87…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x049175d…
46 High
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
0xa00090e…
77 High
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Transaction amount doubled compared to previous transaction
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
Related to 281 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0xa219910…
30 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
0xc059ab1…
59 High
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Related to 8 high-risk transactions (highest score: 85)
High frequency transactions (less than 1 minute interval)
0xa8ff4bc…
38 Medium
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
0x04cb8a9…
30 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
0x689d2fd…
29 Medium
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
0xf342b0d…
30 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
0x94a0caa…
30 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
0x5c3c16e…
43 High
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
0xa0b47cc…
30 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
0xbf76a5f…
47 High
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
0xbe91b54…
27 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Repetitive transaction amount
0x79d1be6…
59 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
0x77df0a6…
57 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Repetitive transaction amount
Transaction amount significantly higher than average
0xf798493…
65 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
0xf8475af…
72 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
0xc64c2cb…
65 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
0x8c3d863…
28 Medium
Related to 2 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
0x282d9df…
46 High
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
0x777a92a…
59 High
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Related to high-risk transaction ['0x313f95e3c64ae1c368a5d996eda84c76b1e315f44efa5b18dd3f712da772a308'] (score: 100)
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
0xc577931…
28 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
0x6e6c57c…
43 High
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
0x61d11a9…
31 Medium
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
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: 25 Medium Risk Activities: 0 Total Flagged Transactions: 26 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 0xfdfe0ca411ebe6887e3920c86f57657823ed8d05: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 44.96 - Total Suspicious Patterns: 26 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: 2025-07-16 02:56:20 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.