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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf845...44c9

Published 16 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf845...44c9

Overview

Project Scope

Analysis of wallet 0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 28 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 0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9 1. Blockchain Data Retrieval - Retrieved 28 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 0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 110 Suspicious Transactions: 28

Key Findings: - Automated analysis detected 28 suspicious transactions - Risk assessment indicates very high risk level - 110 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.
0xd2effdbed7f9a5919f8e18ca4f806ad7d5914860ff4ac7fd33adb42e1e5e2be1: Transaction amount significantly higher than user average, Very short time between transactions 0x8066d79d6be2a9ca46422300e8e076fecccfef7470caccf14583c493eaf6fbbd: Transaction amount significantly higher than user average, Very short time between transactions 0x36bf910252d030fb20ee8f04b5546b128465a0736863987b483b38ceada72ae6: Very short time between transactions 0x41fffb2fde714e037711f19804b5f54dd25f1e851e5e0ddbaad15f722641ae9e: Transaction amount significantly higher than user average, Very short time between transactions 0x96e0e306b788740b20dfacec41806bc4a42cd8df80eceed1895e4a0891e4e781: Transaction amount significantly higher than user average, Very short time between transactions 0xead4b14c7f7a7c967df8904fb6cdd5f0ade4c711e830b71755ef794905b683f4: Very short time between transactions 0xad02810ddcc959bc94918fe907ae5ed6bbfca13b6f89b4e7f8f7581aeda40cf1: Very short time between transactions 0xdf8fb7de1b2bdb29997887255d306d9259bf810363ab9fd151993747db28c670: Transaction amount significantly higher than user average, Very short time between transactions 0x7d2099a5f4941e261ab9abd644d4b217e5a12742df139199bbd229f53f60f09a: Very short time between transactions 0x66b8ea7cb9e56af79364dfce2949accbc96694e290c48032c1cd6a47c91e15ad: Very short time between transactions 0x5fb0ae446dc9e5a1abf2c908148a703e4d29ac96c0c6316d19437a2d7aaeb34f: Transaction amount significantly higher than user average, Very short time between transactions 0xee816f97df64faebd0092c8cf08f910e46c7151a564279294d62a8b5cc2f7469: Very short time between transactions 0x05218786072584bec2986883e2e2a648c0876eae11f31f7114ecdb46c1a126c7: Very short time between transactions 0x551f73d36d7c102b9a15b4ab102b1a6cf5b97dee2ed6967ea0f35e4daf88fdf8: Very short time between transactions 0xf3344aaeb952dee558c467a9bdc792e6bee0099da75d218043d0109acae37fa6: Very short time between transactions 0xda13aaa2fc358288fe2ec6c2490527e589558a6f5cca65cefcf6157006cfb108: Very short time between transactions 0xb6e98a81e65f50ebf60b04ad44c107f9c0523409dd3f382e1d602813e6c698c1: Very short time between transactions 0x0e955f6eea53ebce422378ccf9199535b4ebbc78a90a6e5dc4a8f786f4b82bd4: Very short time between transactions 0xb8fe2c9b4550f2ceda780a0646f682cc188fc6513b9a54241fa08c761c4a03eb: Very short time between transactions 0x2cb97bcce61bcfd24c95f524e755a9ebb4527eeb7abc90c6038ff4d887f62d98: Very short time between transactions 0xe53c416edd6aee598ca7a904862e40562e0b58c02a21c1176868f1d75fff06ab: Very short time between transactions 0x71703667a081839581ce613cfdef6e5d599c8815619e4f0a8968407199785975: Very short time between transactions 0xf505b182b4ebb166d434f5deba65ad81374218c6696200d4ba3d5dfc5231722f: Very short time between transactions 0xbc706d68fb2402cf7a50919cadebeb1eea7fe14d6c6b57246a6d1b1f4e801dae: Very short time between transactions 0x5dc06e5d4a3ac98d5a6fe22947dff76bdd3ed7d8e6dc9b3386ad58f363e2393d: Very short time between transactions 0x0d261140e750c9f408e4e578fa1657a6c743e47892ac383de31544122f07821b: Very short time between transactions 0x96419c4c49f7457cdcab43a982e43e5212ce9370489070e8c9dc7fbbda79e74a: Very short time between transactions
0xd2effdbed7f9a5919f8e18ca4f806ad7d5914860ff4ac7fd33adb42e1e5e2be1: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction 0x8066d79d6be2a9ca46422300e8e076fecccfef7470caccf14583c493eaf6fbbd: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction 0x36bf910252d030fb20ee8f04b5546b128465a0736863987b483b38ceada72ae6: Transaction amount significantly lower than average 0x41fffb2fde714e037711f19804b5f54dd25f1e851e5e0ddbaad15f722641ae9e: Transaction amount significantly higher than average 0x96e0e306b788740b20dfacec41806bc4a42cd8df80eceed1895e4a0891e4e781: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction 0xead4b14c7f7a7c967df8904fb6cdd5f0ade4c711e830b71755ef794905b683f4: Transaction amount significantly higher than average 0xad02810ddcc959bc94918fe907ae5ed6bbfca13b6f89b4e7f8f7581aeda40cf1: Transaction amount significantly lower than average 0xdf8fb7de1b2bdb29997887255d306d9259bf810363ab9fd151993747db28c670: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction 0x7d2099a5f4941e261ab9abd644d4b217e5a12742df139199bbd229f53f60f09a: Transaction amount significantly lower than average 0x66b8ea7cb9e56af79364dfce2949accbc96694e290c48032c1cd6a47c91e15ad: Transaction amount significantly lower than average 0x5fb0ae446dc9e5a1abf2c908148a703e4d29ac96c0c6316d19437a2d7aaeb34f: Transaction amount significantly higher than average 0xee816f97df64faebd0092c8cf08f910e46c7151a564279294d62a8b5cc2f7469: Transaction amount significantly lower than average 0x05218786072584bec2986883e2e2a648c0876eae11f31f7114ecdb46c1a126c7: Transaction amount significantly lower than average 0x551f73d36d7c102b9a15b4ab102b1a6cf5b97dee2ed6967ea0f35e4daf88fdf8: Transaction amount significantly lower than average 0xf3344aaeb952dee558c467a9bdc792e6bee0099da75d218043d0109acae37fa6: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0xda13aaa2fc358288fe2ec6c2490527e589558a6f5cca65cefcf6157006cfb108: Transaction amount significantly lower than average 0xb6e98a81e65f50ebf60b04ad44c107f9c0523409dd3f382e1d602813e6c698c1: Transaction amount significantly lower than average 0x0e955f6eea53ebce422378ccf9199535b4ebbc78a90a6e5dc4a8f786f4b82bd4: Transaction amount significantly lower than average 0xb8fe2c9b4550f2ceda780a0646f682cc188fc6513b9a54241fa08c761c4a03eb: Transaction amount significantly lower than average 0x2cb97bcce61bcfd24c95f524e755a9ebb4527eeb7abc90c6038ff4d887f62d98: Transaction amount significantly lower than average 0xe53c416edd6aee598ca7a904862e40562e0b58c02a21c1176868f1d75fff06ab: Transaction amount significantly lower than average 0xe2e5039876a47938abe76fa8f153a14132b81e9323f7adcc3c95d3dbffdc62c9: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x71703667a081839581ce613cfdef6e5d599c8815619e4f0a8968407199785975: Transaction amount significantly lower than average 0xf505b182b4ebb166d434f5deba65ad81374218c6696200d4ba3d5dfc5231722f: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0xbc706d68fb2402cf7a50919cadebeb1eea7fe14d6c6b57246a6d1b1f4e801dae: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x5dc06e5d4a3ac98d5a6fe22947dff76bdd3ed7d8e6dc9b3386ad58f363e2393d: Transaction amount significantly lower than average 0x0d261140e750c9f408e4e578fa1657a6c743e47892ac383de31544122f07821b: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x96419c4c49f7457cdcab43a982e43e5212ce9370489070e8c9dc7fbbda79e74a: Transaction amount significantly lower than average
0xd2effdbed7f9a5919f8e18ca4f806ad7d5914860ff4ac7fd33adb42e1e5e2be1: High frequency transactions (less than 1 minute interval) 0x36bf910252d030fb20ee8f04b5546b128465a0736863987b483b38ceada72ae6: High frequency transactions (less than 1 minute interval) 0x41fffb2fde714e037711f19804b5f54dd25f1e851e5e0ddbaad15f722641ae9e: High frequency transactions (less than 1 minute interval) 0x96e0e306b788740b20dfacec41806bc4a42cd8df80eceed1895e4a0891e4e781: High frequency transactions (less than 1 minute interval) 0xead4b14c7f7a7c967df8904fb6cdd5f0ade4c711e830b71755ef794905b683f4: High frequency transactions (less than 1 minute interval) 0xad02810ddcc959bc94918fe907ae5ed6bbfca13b6f89b4e7f8f7581aeda40cf1: High frequency transactions (less than 1 minute interval) 0xdf8fb7de1b2bdb29997887255d306d9259bf810363ab9fd151993747db28c670: High frequency transactions (less than 1 minute interval) 0x7d2099a5f4941e261ab9abd644d4b217e5a12742df139199bbd229f53f60f09a: High frequency transactions (less than 1 minute interval) 0x66b8ea7cb9e56af79364dfce2949accbc96694e290c48032c1cd6a47c91e15ad: High frequency transactions (less than 1 minute interval) 0x5fb0ae446dc9e5a1abf2c908148a703e4d29ac96c0c6316d19437a2d7aaeb34f: High frequency transactions (less than 1 minute interval) 0xee816f97df64faebd0092c8cf08f910e46c7151a564279294d62a8b5cc2f7469: High frequency transactions (less than 1 minute interval) 0x05218786072584bec2986883e2e2a648c0876eae11f31f7114ecdb46c1a126c7: High frequency transactions (less than 1 minute interval) 0x551f73d36d7c102b9a15b4ab102b1a6cf5b97dee2ed6967ea0f35e4daf88fdf8: High frequency transactions (less than 1 minute interval) 0xf3344aaeb952dee558c467a9bdc792e6bee0099da75d218043d0109acae37fa6: High frequency transactions (less than 1 minute interval) 0xda13aaa2fc358288fe2ec6c2490527e589558a6f5cca65cefcf6157006cfb108: High frequency transactions (less than 1 minute interval) 0xb6e98a81e65f50ebf60b04ad44c107f9c0523409dd3f382e1d602813e6c698c1: High frequency transactions (less than 1 minute interval) 0x0e955f6eea53ebce422378ccf9199535b4ebbc78a90a6e5dc4a8f786f4b82bd4: High frequency transactions (less than 1 minute interval) 0xb8fe2c9b4550f2ceda780a0646f682cc188fc6513b9a54241fa08c761c4a03eb: High frequency transactions (less than 1 minute interval) 0x2cb97bcce61bcfd24c95f524e755a9ebb4527eeb7abc90c6038ff4d887f62d98: High frequency transactions (less than 1 minute interval) 0xe53c416edd6aee598ca7a904862e40562e0b58c02a21c1176868f1d75fff06ab: High frequency transactions (less than 1 minute interval) 0x71703667a081839581ce613cfdef6e5d599c8815619e4f0a8968407199785975: High frequency transactions (less than 1 minute interval) 0xf505b182b4ebb166d434f5deba65ad81374218c6696200d4ba3d5dfc5231722f: High frequency transactions (less than 1 minute interval) 0xbc706d68fb2402cf7a50919cadebeb1eea7fe14d6c6b57246a6d1b1f4e801dae: High frequency transactions (less than 1 minute interval) 0x5dc06e5d4a3ac98d5a6fe22947dff76bdd3ed7d8e6dc9b3386ad58f363e2393d: High frequency transactions (less than 1 minute interval) 0x0d261140e750c9f408e4e578fa1657a6c743e47892ac383de31544122f07821b: High frequency transactions (less than 1 minute interval) 0x96419c4c49f7457cdcab43a982e43e5212ce9370489070e8c9dc7fbbda79e74a: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors
0x41fffb2…
53 High
Local Outlier Factor (LOF) detected as anomaly
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
Transaction amount significantly higher than user average
0xf3344aa…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xe2e5039…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x7170366…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xf505b18…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x5fb0ae4…
42 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Transaction amount significantly lower than average
Address became active after a long inactive period
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
0xbc706d6…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x5dc06e5…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x0d26114…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x96419c4…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x36bf910…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xead4b14…
41 High
Local Outlier Factor (LOF) detected as anomaly
Related to 140 high-risk transactions (highest score: 100)
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
0xad02810…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xdf8fb7d…
65 High
Low transaction fee
Transaction amount doubled compared to previous transaction
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
Rapid multi-hop layering pattern detected
Transaction amount significantly higher than average
0x7d2099a…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x66b8ea7…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xee816f9…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x0521878…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x96e0e30…
43 High
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Address became active after a long inactive period
Related to high-risk transaction ['0xf7e9ed19d1e87d1eb115a827bf8f52f9d5f5bcc003953c94a0c75b2d8bd9262b'] (score: 81)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0x551f73d…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x8066d79…
47 High
Transaction amount significantly higher than average
Local Outlier Factor (LOF) detected as anomaly
Related to high-risk transaction ['0xf7e9ed19d1e87d1eb115a827bf8f52f9d5f5bcc003953c94a0c75b2d8bd9262b'] (score: 81)
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Transaction amount significantly higher than user average
0xb6e98a8…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x0e955f6…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x2cb97bc…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xe53c416…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xda13aaa…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xb8fe2c9…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xd2effdb…
100 High
Low transaction fee
Transaction amount significantly lower than average
Transaction involves DeFi exploit address: Bybit Exploiter 1
Very short time between transactions
Transaction amount halved compared to previous transaction
Sends funds to exploit address: 0x47666f...
Related to 285 high-risk transactions (highest score: 100)
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: 7 Medium Risk Activities: 0 Total Flagged Transactions: 28 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 0xf8453822dcfdc26a7d4b5ff30b09c4f62d1444c9: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 13.96 - Total Suspicious Patterns: 28 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 02:05:13 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.