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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa35c...b48f

Published 14 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa35c...b48f
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Overview

Project Scope

Analysis of wallet 0xa35c688f7c1d831f41949546f1aec04b3091b48f - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xa35c688f7c1d831f41949546f1aec04b3091b48f
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xa35c688f7c1d831f41949546f1aec04b3091b48f 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 11 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 0xa35c688f7c1d831f41949546f1aec04b3091b48f 1. Blockchain Data Retrieval - Retrieved 11 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 0xa35c688f7c1d831f41949546f1aec04b3091b48f

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 43 Suspicious Transactions: 11

Key Findings: - Automated analysis detected 11 suspicious transactions - Risk assessment indicates very high risk level - 43 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.
0x50cb42d44f3ffe441e135a9ecd1180157ce35b497b4369d04a0a2f33e685517b: Very short time between transactions 0xaa7c38d23114c3c05645eb5c04a6aaed8e4591705edfaa639a6acaf109c367b6: Very short time between transactions 0x6abae25859457f02520a05f1f2b05a3769fd1d154046b42e9c604063a2ba9082: Very short time between transactions 0xa2258ce31b38f5fbd609c96c5a7d286a3b1d532043befca6edad4281a1eac0d2: Very short time between transactions 0x992ff2d4206890eaa7c7148e1293b3b29bdffba3b77c6d2efe8ea1b3e14de6d3: Very short time between transactions 0xfe2c4377265a5c8a228995809cb83c6be9eae0781e7d889207a7c6ba618b8e14: Very short time between transactions 0xd76eae7b40e82b213c05d539dd0e499f7d2f5325ae92ae8e409cf5dfee210cc9: Very short time between transactions 0x1d1d20a2824945e406224eb44e99be0579d8a238431e46ac5f8f4cc21f14987b: Very short time between transactions 0x88478d94b56386ef247133d4e0a5d64a7c6c8ad8e22fbb861d61f48044bc5283: Very short time between transactions 0x6918849da624e9b2efd17e5f5e7431c01d8f36bb959312b533df5039379bdfd0: Very short time between transactions
0x50cb42d44f3ffe441e135a9ecd1180157ce35b497b4369d04a0a2f33e685517b: Transaction amount doubled compared to previous transaction 0xa2258ce31b38f5fbd609c96c5a7d286a3b1d532043befca6edad4281a1eac0d2: Transaction amount halved compared to previous transaction
0x50cb42d44f3ffe441e135a9ecd1180157ce35b497b4369d04a0a2f33e685517b: High frequency transactions (less than 1 minute interval) 0xaa7c38d23114c3c05645eb5c04a6aaed8e4591705edfaa639a6acaf109c367b6: High frequency transactions (less than 1 minute interval) 0x6abae25859457f02520a05f1f2b05a3769fd1d154046b42e9c604063a2ba9082: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xa2258ce31b38f5fbd609c96c5a7d286a3b1d532043befca6edad4281a1eac0d2: High frequency transactions (less than 1 minute interval) 0x992ff2d4206890eaa7c7148e1293b3b29bdffba3b77c6d2efe8ea1b3e14de6d3: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xfe2c4377265a5c8a228995809cb83c6be9eae0781e7d889207a7c6ba618b8e14: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xd76eae7b40e82b213c05d539dd0e499f7d2f5325ae92ae8e409cf5dfee210cc9: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x1d1d20a2824945e406224eb44e99be0579d8a238431e46ac5f8f4cc21f14987b: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x88478d94b56386ef247133d4e0a5d64a7c6c8ad8e22fbb861d61f48044bc5283: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x6918849da624e9b2efd17e5f5e7431c01d8f36bb959312b533df5039379bdfd0: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
11
Average Risk Score
50.91
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xc07b45c…
49 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
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0xa2258ce…
30 Medium
Short time frame between 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
0x6918849…
47 High
Short time frame between transactions
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
0x50cb42d…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 6
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Related to 98 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0x40e98f...
No tags
0x6abae25…
50 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 doubled compared to previous transaction
Very short time between transactions
No tags
0xaa7c38d…
30 Medium
Short time frame between 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
0x992ff2d…
64 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Round amount consistent with mixer
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0xfe2c437…
30 Medium
Short time frame between 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
0xd76eae7…
78 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Low transaction fee
Standard mixer amount detected
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x1d1d20a…
30 Medium
Short time frame between 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
0x88478d9…
72 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
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: 11 Medium Risk Activities: 0 Total Flagged Transactions: 11 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 0xa35c688f7c1d831f41949546f1aec04b3091b48f: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 52.73 - Total Suspicious Patterns: 11 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 12:11:12 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
Views 7
Likes 0