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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa8d0...d6ef

Published 14 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa8d0...d6ef
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Overview

Project Scope

Analysis of wallet 0xa8d04f4131ac35f617853a7785df02bbaca7d6ef - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xa8d04f4131ac35f617853a7785df02bbaca7d6ef
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xa8d04f4131ac35f617853a7785df02bbaca7d6ef 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 19 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 0xa8d04f4131ac35f617853a7785df02bbaca7d6ef 1. Blockchain Data Retrieval - Retrieved 19 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 0xa8d04f4131ac35f617853a7785df02bbaca7d6ef

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 72 Suspicious Transactions: 19

Key Findings: - Automated analysis detected 19 suspicious transactions - Risk assessment indicates very high risk level - 72 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.
0x9b729c79366114581f41830c86a033e20697a3cefb2f5b2943ea5fc844f01f1a: Very short time between transactions 0x60644137d5b3c68ebf8c2c735968e44acbd37901cd11aef9559400340782a2b7: Very short time between transactions 0xf740c6bf3e61dad47bb639788a9d23040e01e8b193428fad23f706dbeaf47b89: Very short time between transactions 0x3e8f5c7504d02d53bab2b945e45ddda9aaee2e93a1d9aa3392151d117b415052: Very short time between transactions 0x8ae0ae9672a983b9ee92b4d8917423bd07cddc4255cbaa2d00d052a2b8de5dce: Very short time between transactions 0x9f25f33c045ca310fb765a0a2e71925b1b8177747e70ed0e1ccb44c3c65685b3: Very short time between transactions 0x5e9840366cb7fbcda1a4b8df1bfc8600985fb086789c5c862e855daeee0db5d9: Very short time between transactions 0xb5e9b86b8027ded798203c95a2a2043b8f8cbfc990351cad08fc0eae5df99067: Very short time between transactions 0x6483a7c52b6a372b01318d1bd974619951ddaf376810f68df0047e631b2731d2: Very short time between transactions 0x0ce3b3d5587de807336ae3f18123f8315a4af342c4c46757e70df1fd8d618ff3: Very short time between transactions 0xc65e0e90fc0f346cf82c4570689e4c7f12a0029f2df0647cfaae4009a2b15a39: Very short time between transactions 0xcd2ef8b2dfc7c5d1afc165df6f353fd23e8a7f05c683fefd962487438cd9c778: Very short time between transactions 0x85b67aa594423fd6f6d111a1b41e65b779bf8da8e4d9c6615f5f61a1d1f11481: Very short time between transactions 0x331c254d0a57777bba68ac7ee2a2802a42dcbe1cae71c932d59c80b81b935c4d: Very short time between transactions 0xfb608c90301889638692152e8de8cdfc129a17e9a3394aa8d8b737ea1ec89260: Very short time between transactions 0xdb7fd1387f34eea17d6691f104227858160da477f8a413291cd4a126315e4772: Very short time between transactions 0xdf3161610395d965d17e9a565639b53004c6c8a21c80573feff9b717fabf29e0: Very short time between transactions
0x60644137d5b3c68ebf8c2c735968e44acbd37901cd11aef9559400340782a2b7: Transaction amount significantly lower than average 0x3e8f5c7504d02d53bab2b945e45ddda9aaee2e93a1d9aa3392151d117b415052: Transaction amount doubled compared to previous transaction 0x8ae0ae9672a983b9ee92b4d8917423bd07cddc4255cbaa2d00d052a2b8de5dce: Transaction amount halved compared to previous transaction 0x9f25f33c045ca310fb765a0a2e71925b1b8177747e70ed0e1ccb44c3c65685b3: Transaction amount halved compared to previous transaction 0xb5e9b86b8027ded798203c95a2a2043b8f8cbfc990351cad08fc0eae5df99067: Transaction amount doubled compared to previous transaction 0x6483a7c52b6a372b01318d1bd974619951ddaf376810f68df0047e631b2731d2: Transaction amount doubled compared to previous transaction 0xc65e0e90fc0f346cf82c4570689e4c7f12a0029f2df0647cfaae4009a2b15a39: Transaction amount halved compared to previous transaction 0xcd2ef8b2dfc7c5d1afc165df6f353fd23e8a7f05c683fefd962487438cd9c778: Transaction amount doubled compared to previous transaction 0x85b67aa594423fd6f6d111a1b41e65b779bf8da8e4d9c6615f5f61a1d1f11481: Transaction amount doubled compared to previous transaction 0xcc7284a1295a69b91777d34deac6d6cc1e480da0a114f7420ee366b5a103f627: Transaction amount doubled compared to previous transaction 0x331c254d0a57777bba68ac7ee2a2802a42dcbe1cae71c932d59c80b81b935c4d: Transaction amount doubled compared to previous transaction 0xfb608c90301889638692152e8de8cdfc129a17e9a3394aa8d8b737ea1ec89260: Transaction amount significantly lower than average 0xdb7fd1387f34eea17d6691f104227858160da477f8a413291cd4a126315e4772: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xdf3161610395d965d17e9a565639b53004c6c8a21c80573feff9b717fabf29e0: Transaction amount halved compared to previous transaction
0x9b729c79366114581f41830c86a033e20697a3cefb2f5b2943ea5fc844f01f1a: High frequency transactions (less than 1 minute interval) 0x60644137d5b3c68ebf8c2c735968e44acbd37901cd11aef9559400340782a2b7: High frequency transactions (less than 1 minute interval) 0xf740c6bf3e61dad47bb639788a9d23040e01e8b193428fad23f706dbeaf47b89: High frequency transactions (less than 1 minute interval) 0x3e8f5c7504d02d53bab2b945e45ddda9aaee2e93a1d9aa3392151d117b415052: High frequency transactions (less than 1 minute interval) 0x8ae0ae9672a983b9ee92b4d8917423bd07cddc4255cbaa2d00d052a2b8de5dce: High frequency transactions (less than 1 minute interval) 0x9f25f33c045ca310fb765a0a2e71925b1b8177747e70ed0e1ccb44c3c65685b3: High frequency transactions (less than 1 minute interval) 0x5e9840366cb7fbcda1a4b8df1bfc8600985fb086789c5c862e855daeee0db5d9: High frequency transactions (less than 1 minute interval) 0xb5e9b86b8027ded798203c95a2a2043b8f8cbfc990351cad08fc0eae5df99067: High frequency transactions (less than 1 minute interval) 0x6483a7c52b6a372b01318d1bd974619951ddaf376810f68df0047e631b2731d2: High frequency transactions (less than 1 minute interval) 0x0ce3b3d5587de807336ae3f18123f8315a4af342c4c46757e70df1fd8d618ff3: High frequency transactions (less than 1 minute interval) 0xc65e0e90fc0f346cf82c4570689e4c7f12a0029f2df0647cfaae4009a2b15a39: High frequency transactions (less than 1 minute interval) 0x85b67aa594423fd6f6d111a1b41e65b779bf8da8e4d9c6615f5f61a1d1f11481: High frequency transactions (less than 1 minute interval) 0x331c254d0a57777bba68ac7ee2a2802a42dcbe1cae71c932d59c80b81b935c4d: High frequency transactions (less than 1 minute interval) 0xdb7fd1387f34eea17d6691f104227858160da477f8a413291cd4a126315e4772: High frequency transactions (less than 1 minute interval) 0xdf3161610395d965d17e9a565639b53004c6c8a21c80573feff9b717fabf29e0: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
19
Average Risk Score
56.21
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xfb608c9…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xdb7fd13…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x6483a7c…
36 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 335.23
Very short time between transactions
Outgoing structuring detected: 4 similar amounts totaling 445.66
No tags
0x0ce3b3d…
43 High
Short time frame between transactions
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
0xdf31616…
36 Medium
Multiple round number transactions
Low transaction fee
Repetitive transaction amount
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Very short time between transactions
No tags
0x3e8f5c7…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Anomaly detected by Isolation Forest
Large transaction amount
Related to 120 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x9b729c7…
45 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x6fdbe9a…
100 High
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 34
Related to 171 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x3a21f4...
Transaction amount significantly lower than average
No tags
0xcc7284a…
100 High
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 34
Related to 171 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x3a21f4...
Rapid accumulation of large transactions
No tags
0x5e98403…
50 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Rapid accumulation of large transactions
Outgoing structuring detected: 4 similar amounts totaling 445.66
Very short time between transactions
No tags
0xcd2ef8b…
100 High
Related to 194 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 23
Rapid accumulation of large transactions
Receives funds from exploit address: 0xfa3fcc...
Very short time between transactions
No tags
0x85b67aa…
100 High
Related to 194 high-risk transactions (highest score: 100)
Large transaction amount
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 23
Rapid accumulation of large transactions
Receives funds from exploit address: 0xfa3fcc...
Very short time between transactions
No tags
0xc65e0e9…
41 High
Short time frame between transactions
Multiple round number transactions
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xf740c6b…
57 High
Short time frame between transactions
Anomaly detected by Isolation Forest
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
0x9f25f33…
43 High
Short time frame between transactions
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
0x8ae0ae9…
49 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Very short time between transactions
No tags
0x6064413…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xb5e9b86…
43 High
Short time frame between transactions
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
0x331c254…
100 High
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 34
Related to 171 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x3a21f4...
Rapid accumulation of large transactions
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: 16 Medium Risk Activities: 0 Total Flagged Transactions: 19 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 0xa8d04f4131ac35f617853a7785df02bbaca7d6ef: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 54.89 - Total Suspicious Patterns: 19 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 12:45:05 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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Likes 0