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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc938...c9e7

Published 15 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc938...c9e7
LLM Analysis

Overview

Project Scope

Analysis of wallet 0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 33 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 0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7 1. Blockchain Data Retrieval - Retrieved 33 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 0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 128 Suspicious Transactions: 33

Key Findings: - Automated analysis detected 33 suspicious transactions - Risk assessment indicates very high risk level - 128 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.
0xd90939c28e1eccce47523b86efe853972a4c4fa5794c49f8d3ab46c60bd08654: Very short time between transactions 0x59aa42de7abb623a6173a00cf81a2945513ad03f2ea3db60e8046a60dcf53645: Very short time between transactions 0xdd0e306d8a858f8d773f761402f218f636bb8f8719a63b5a68908d7a3d1dafcf: Very short time between transactions 0x3033744352ad6768080cc50ac3f34437d4af6dda6bd01ff1f6833104f531bd7a: Very short time between transactions 0x80a94e83acdde27549d4ae52b78a3ad037d68e124e302079d09080ee6ee4e15c: Very short time between transactions 0x21d91ff22faef009f09935b5256fba0c21f72016aecfe4ea0a2c171c4a4401c9: Very short time between transactions 0xb32d23bc4e365f06e594756278b78ffdb2543de5d61dc5b71cd966d1d8383a16: Very short time between transactions 0xecb59000141fc67e75628cd12899c24b0a9411a0155a47b4c64fec58a885ff00: Very short time between transactions 0x5a32d0599842d9fbbf5b9773e81570e4307742f8ac5ce41c5c1730979e74cd3d: Very short time between transactions 0x4f52aeb90b1f17be0e29850e94fee177ce79eacdd029b12effd446845ede51ca: Very short time between transactions 0xec4b4cb0eb49e25cf199deaca6ee6d4c3efc101b7ac84382bbc9c1caf9dbf226: Very short time between transactions 0x241009b0e38d1cfdbfa554552252eebaa3e804a2bdcb9f1e5a5e621534e5d93b: Very short time between transactions 0x200fbf95d047c4908dbd8149958d7d9cc5856da5126069d4c406cf3a228ea3e8: Very short time between transactions 0x7de2e98ed6c02dd1cc6fc3f78565982b5148d7ff26cbda21974cc7d13813298f: Very short time between transactions 0xae8211e9526f6ede9022c017113f5a4dc482e8a007d94fea6a9c88e501899878: Very short time between transactions 0xebf5f21f70f8617da9486486f31202d0a65fce3defde5549127f5488dd6c69ac: Very short time between transactions 0x1abb28e660161ebdd3e1cc962e94d8d858fd5d671ed4a2697be43c10e2afc5a7: Very short time between transactions 0x558ab8d5c6a24e1250f0278879a51141afec9aed4641123bec68b222b462ba41: Very short time between transactions 0xaca748116b55f13728d5ca7bd297c4620d4e57506aaa50c70e536077f27d9af4: Very short time between transactions 0x94f6b1f6ef6e6d0d0034811d8ad53998db27445b9c1f2f1d98e9cff025922880: Very short time between transactions 0x710c378dd8155ad0c8033b983225c8779f747b2e4476f4a9e37db7ec3bf82e63: Very short time between transactions 0x37bccf5c8d945475fa6f993c2a2daa599d56bfbab8c3c874ac04869fbb3f8db3: Very short time between transactions 0x9bc52c5005c683a69bd728b653b24c91d7742db37007e973b52415d5cc991ca8: Very short time between transactions 0xd559f78f98dd6be4cb3b3a1a203dfb67eaa3af5a3f6fa1c8ee0b338f106f6ead: Very short time between transactions 0xe4291511a03c311d8e75d4ee80aad6961a328118950511d2b374e53ba58ff39c: Very short time between transactions 0xf3d157abccb2b10e2dc49442e7a6d9f8d832b3a863c68d388dd548b14d8b1cc9: Very short time between transactions 0x65ef84b0da8c357ba75dbf12585417c7ef468899baa16675097107e103e09808: Very short time between transactions 0x4393cd13341d7b0bd272799f7f0cdb93b600400a3cc7310124c89ffe7543e985: Very short time between transactions 0x4d2cd0cbe72c04d4952ed2dcdbed0cf0b6196448068634c2f3215ab637095d0e: Very short time between transactions 0xcce7a386165f9da355b7be224d72c2f019f37dcbd15e316e7fe14366de1bca44: Very short time between transactions 0xa218cbf91f4bba7b0aff92edf15edd57f753f084d8ee8fb161f2825c74096a8a: Very short time between transactions
0xd90939c28e1eccce47523b86efe853972a4c4fa5794c49f8d3ab46c60bd08654: Transaction amount significantly higher than average 0x200fbf95d047c4908dbd8149958d7d9cc5856da5126069d4c406cf3a228ea3e8: Transaction amount doubled compared to previous transaction 0x7de2e98ed6c02dd1cc6fc3f78565982b5148d7ff26cbda21974cc7d13813298f: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x9bc52c5005c683a69bd728b653b24c91d7742db37007e973b52415d5cc991ca8: Transaction amount halved compared to previous transaction
0xd90939c28e1eccce47523b86efe853972a4c4fa5794c49f8d3ab46c60bd08654: High frequency transactions (less than 1 minute interval) 0x59aa42de7abb623a6173a00cf81a2945513ad03f2ea3db60e8046a60dcf53645: High frequency transactions (less than 1 minute interval) 0x80a94e83acdde27549d4ae52b78a3ad037d68e124e302079d09080ee6ee4e15c: High frequency transactions (less than 1 minute interval) 0x21d91ff22faef009f09935b5256fba0c21f72016aecfe4ea0a2c171c4a4401c9: Regular interval transactions between the same wallets 0xb32d23bc4e365f06e594756278b78ffdb2543de5d61dc5b71cd966d1d8383a16: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0xecb59000141fc67e75628cd12899c24b0a9411a0155a47b4c64fec58a885ff00: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x5a32d0599842d9fbbf5b9773e81570e4307742f8ac5ce41c5c1730979e74cd3d: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x4f52aeb90b1f17be0e29850e94fee177ce79eacdd029b12effd446845ede51ca: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0xec4b4cb0eb49e25cf199deaca6ee6d4c3efc101b7ac84382bbc9c1caf9dbf226: High frequency transactions (less than 1 minute interval) 0x241009b0e38d1cfdbfa554552252eebaa3e804a2bdcb9f1e5a5e621534e5d93b: High frequency transactions (less than 1 minute interval) 0x200fbf95d047c4908dbd8149958d7d9cc5856da5126069d4c406cf3a228ea3e8: High frequency transactions (less than 1 minute interval) 0x7de2e98ed6c02dd1cc6fc3f78565982b5148d7ff26cbda21974cc7d13813298f: High frequency transactions (less than 1 minute interval) 0xae8211e9526f6ede9022c017113f5a4dc482e8a007d94fea6a9c88e501899878: High frequency transactions (less than 1 minute interval) 0xebf5f21f70f8617da9486486f31202d0a65fce3defde5549127f5488dd6c69ac: High frequency transactions (less than 1 minute interval) 0x1abb28e660161ebdd3e1cc962e94d8d858fd5d671ed4a2697be43c10e2afc5a7: High frequency transactions (less than 1 minute interval) 0x558ab8d5c6a24e1250f0278879a51141afec9aed4641123bec68b222b462ba41: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0xaca748116b55f13728d5ca7bd297c4620d4e57506aaa50c70e536077f27d9af4: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x94f6b1f6ef6e6d0d0034811d8ad53998db27445b9c1f2f1d98e9cff025922880: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x710c378dd8155ad0c8033b983225c8779f747b2e4476f4a9e37db7ec3bf82e63: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets 0x37bccf5c8d945475fa6f993c2a2daa599d56bfbab8c3c874ac04869fbb3f8db3: High frequency transactions (less than 1 minute interval) 0x9bc52c5005c683a69bd728b653b24c91d7742db37007e973b52415d5cc991ca8: High frequency transactions (less than 1 minute interval) 0xd559f78f98dd6be4cb3b3a1a203dfb67eaa3af5a3f6fa1c8ee0b338f106f6ead: High frequency transactions (less than 1 minute interval) 0xe4291511a03c311d8e75d4ee80aad6961a328118950511d2b374e53ba58ff39c: High frequency transactions (less than 1 minute interval) 0xf3d157abccb2b10e2dc49442e7a6d9f8d832b3a863c68d388dd548b14d8b1cc9: High frequency transactions (less than 1 minute interval) 0x65ef84b0da8c357ba75dbf12585417c7ef468899baa16675097107e103e09808: High frequency transactions (less than 1 minute interval) 0x4393cd13341d7b0bd272799f7f0cdb93b600400a3cc7310124c89ffe7543e985: High frequency transactions (less than 1 minute interval) 0x4d2cd0cbe72c04d4952ed2dcdbed0cf0b6196448068634c2f3215ab637095d0e: High frequency transactions (less than 1 minute interval) 0xcce7a386165f9da355b7be224d72c2f019f37dcbd15e316e7fe14366de1bca44: High frequency transactions (less than 1 minute interval) 0xa218cbf91f4bba7b0aff92edf15edd57f753f084d8ee8fb161f2825c74096a8a: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xd90939c…
100 High
High frequency transactions (less than 1 minute interval)
Receives funds from exploit address: 0xfa3fcc...
Very short time between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 23
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Related to 222 high-risk transactions (highest score: 100)
No tags
0xdd0e306…
65 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
No tags
0x42c5b67…
63 High
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
No tags
0x86fcafb…
65 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0x80a94e8…
53 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0x59aa42d…
65 High
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0xec4b4cb…
59 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0x3033744…
66 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
No tags
0x21d91ff…
30 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0xb32d23b…
43 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xecb5900…
41 High
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
No tags
0x5a32d05…
31 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0x4f52aeb…
28 Medium
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
No tags
0x241009b…
47 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0x1abb28e…
46 High
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount doubled compared to previous transaction
Low transaction fee
No tags
0x37bccf5…
67 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Regular interval transactions between the same wallets
No tags
0x200fbf9…
51 High
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
No tags
0x7de2e98…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xae8211e…
28 Medium
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
No tags
0xebf5f21…
35 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 158 high-risk transactions (highest score: 100)
No tags
0x558ab8d…
43 High
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
No tags
0xaca7481…
31 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0x94f6b1f…
58 High
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Related to 158 high-risk transactions (highest score: 100)
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Regular interval transactions between the same wallets
No tags
0x710c378…
58 High
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0x9bc52c5…
31 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0xd559f78…
28 Medium
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
No tags
0xe429151…
28 Medium
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
No tags
0xf3d157a…
36 Medium
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
No tags
0x65ef84b…
29 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
No tags
0x4393cd1…
31 Medium
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
No tags
0x4d2cd0c…
28 Medium
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Transaction amount doubled compared to previous transaction
No tags
0xcce7a38…
26 Medium
Repetitive transaction amount
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
No tags
0xa218cbf…
26 Medium
Repetitive transaction amount
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
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: 32 Medium Risk Activities: 0 Total Flagged Transactions: 33 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 0xc938c3e5af1fc82de0eb2bd55361b4ed9576c9e7: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 43.52 - Total Suspicious Patterns: 33 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: 2025-07-15 19:10:01 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.