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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xb119...cde9

Published 15 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xb119...cde9
LLM Analysis

Overview

Project Scope

Analysis of wallet 0xb11902686b66a38c7e925911f3626526e039cde9 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xb11902686b66a38c7e925911f3626526e039cde9
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xb11902686b66a38c7e925911f3626526e039cde9 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 35 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 0xb11902686b66a38c7e925911f3626526e039cde9 1. Blockchain Data Retrieval - Retrieved 35 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 0xb11902686b66a38c7e925911f3626526e039cde9

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 139 Suspicious Transactions: 35

Key Findings: - Automated analysis detected 35 suspicious transactions - Risk assessment indicates very high risk level - 139 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.
0xaca02b444d6a2d67c2e0a2d856fc63db01de25fc59c6863650bf6015d765986e: Very short time between transactions 0xfa408ec9cccdd0c56147f4e67d400557f3cff9779a376f95e25db88920b19f06: Very short time between transactions 0xf5ff8f5cb5b29f7c851a13c42fb795e522a8c4784679f4f4cd1af5e2c6b980c6: Transaction amount significantly higher than user average, Very short time between transactions 0xc3cc1af38c2ffc06291102f3dbcce680c95f00a6d961b7c0d77a9995b37351bf: Transaction amount significantly higher than user average, Very short time between transactions 0x3dfb681d85358c71b10eaececca3c51d595f0ee6bb44936f2d443dfc54b783d5: Transaction amount significantly higher than user average, Very short time between transactions 0x2ffea832a0802b9b41001b8b9ff1a82f537062ddc5bf26cd84c6afc6d09f2728: Very short time between transactions 0x66cc8d1fdc6081657a02142d8552e26eb76ac241f4dbd858ed8f42ecf4d9241d: Very short time between transactions 0x2eed7df1022279fca02e738d7e15303ba80179266cc5f8f34999eba5bb9ee428: Very short time between transactions 0x9eee06f2e81b26b16f5a552a5237c0a0f5b914d7c553c52cda6aac4303baf0b9: Very short time between transactions 0xf625df3636b9f8d3ce7a5b0fee2af4ef0e9ef8fa60e244cc106a587d460ecc41: Very short time between transactions 0x00fea93b74cadf48d755cb668c339a2a8ae9caa0debfb44e8b09d60798c2b84e: Very short time between transactions 0xefed9bc017d8ff06c307d3deb69b873454c5e2d0054b514f5eb20b0180d48d51: Transaction amount significantly higher than user average, Very short time between transactions 0x913285a8ea83b2374c41687568606af786603e375c2668821d9dcd1a1d55f3a9: Very short time between transactions 0xbaf641fdc432b34a2d2a94e15b069b7dbc7c8e327af59d146c0b8d8db0ad33d6: Very short time between transactions 0x14fa68ed62b533503ce1df4c3c083e88ea63b0f82a83ff913bbddf692f6d2a44: Very short time between transactions 0x632fe878281c57d4009674b71c5accd0a3f8280dd85e9e3dbbc8a6c16b1c3663: Very short time between transactions 0xd0faeb0a107878de0de01205a911512013f00cd2dafca40b1dd907800c4c9c86: Very short time between transactions 0xb9c85feaada951c093d9e9c0308b71a15b7477d86d27aa9633cf61f21a666b46: Very short time between transactions 0x9dc397260dd1ab757db98c042e4b1610ae6fe1dc19c3de074e1c3abd0bfb3ab1: Very short time between transactions 0x984c1840c352b9d9373a370ed16fe31b2d57a4be0142199c1551f8733f403b1f: Very short time between transactions 0x5e7c93a11fdc3f319a5aa7b3d163c766201354b96ecbf67777e896c9fbd7d80c: Transaction amount significantly higher than user average, Very short time between transactions 0xa13a40978dc4a260e83c50ff97728ededd677e37880f18acad3180e4ee20cd9e: Very short time between transactions 0x862ccb3ffcec6d44dd285590a53c9ed96b097af8d1931b6340e777f0c394c2e3: Very short time between transactions 0xa5133462b18181b4d67736c68daf719695c4ac087c739c559500ccf3da76b338: Very short time between transactions 0x2448292a5b5b5a6c79bf492d9cd6f1fe8e556ef25f4db965e8026716e19115eb: Very short time between transactions 0x1b483a759a74a3e2c6251188c5cdaa8883d1a9dd03387751a09cc8e65aeba9f4: Very short time between transactions 0xfa457385e65a83111b1dd78b6b5b85d283b7f780ee8b27adb07d48b04dd88d0e: Transaction amount significantly higher than user average, Very short time between transactions 0x57c703f8ac32bea0893a1db094c0e8ced7e813ebbf3c7fee7ca4ea9aa39ea752: Very short time between transactions 0x211a6135e4e7a753402eb3812c9ffeaf0f11d7a2160260c9adda595bde3fcd94: Very short time between transactions 0xaa1c4ffce054c8f30815fad5e962de71dad4aabbae84d18112d8a31553bcf2b0: Very short time between transactions 0xfcc01c39aa0200f8c43c22fb30a2eabecb4b239730ae5d5be7e94b53ff17c08d: Very short time between transactions 0xbdbde112e1debadbcb5029e5214bd627060816d9fda9006bbf6d5c6709fc0200: Very short time between transactions 0x56351cf00234e530010d2ef8c022b534e6913f564061cbe4802c2eac46d4d8ae: Very short time between transactions 0xed9f85e4f910f231e3f0189c8899b083131f2bb5b76f71493500d6223f82f990: Very short time between transactions
0xaca02b444d6a2d67c2e0a2d856fc63db01de25fc59c6863650bf6015d765986e: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xfa408ec9cccdd0c56147f4e67d400557f3cff9779a376f95e25db88920b19f06: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xf5ff8f5cb5b29f7c851a13c42fb795e522a8c4784679f4f4cd1af5e2c6b980c6: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xc3cc1af38c2ffc06291102f3dbcce680c95f00a6d961b7c0d77a9995b37351bf: Transaction amount significantly higher than average 0x3dfb681d85358c71b10eaececca3c51d595f0ee6bb44936f2d443dfc54b783d5: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0x2ffea832a0802b9b41001b8b9ff1a82f537062ddc5bf26cd84c6afc6d09f2728: Transaction amount doubled compared to previous transaction 0x66cc8d1fdc6081657a02142d8552e26eb76ac241f4dbd858ed8f42ecf4d9241d: Transaction amount significantly lower than average 0x9eee06f2e81b26b16f5a552a5237c0a0f5b914d7c553c52cda6aac4303baf0b9: Transaction amount significantly lower than average 0xf625df3636b9f8d3ce7a5b0fee2af4ef0e9ef8fa60e244cc106a587d460ecc41: Transaction amount significantly lower than average 0x00fea93b74cadf48d755cb668c339a2a8ae9caa0debfb44e8b09d60798c2b84e: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xefed9bc017d8ff06c307d3deb69b873454c5e2d0054b514f5eb20b0180d48d51: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0x913285a8ea83b2374c41687568606af786603e375c2668821d9dcd1a1d55f3a9: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xbaf641fdc432b34a2d2a94e15b069b7dbc7c8e327af59d146c0b8d8db0ad33d6: Transaction amount significantly lower than average 0x14fa68ed62b533503ce1df4c3c083e88ea63b0f82a83ff913bbddf692f6d2a44: Transaction amount doubled compared to previous transaction 0x632fe878281c57d4009674b71c5accd0a3f8280dd85e9e3dbbc8a6c16b1c3663: Transaction amount significantly lower than average 0x5dc9a11f8be55af20cea75f4efcc4b92cb19ced553018b626eba13ee11ec61c1: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xd0faeb0a107878de0de01205a911512013f00cd2dafca40b1dd907800c4c9c86: Transaction amount significantly lower than average 0xb9c85feaada951c093d9e9c0308b71a15b7477d86d27aa9633cf61f21a666b46: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x9dc397260dd1ab757db98c042e4b1610ae6fe1dc19c3de074e1c3abd0bfb3ab1: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x984c1840c352b9d9373a370ed16fe31b2d57a4be0142199c1551f8733f403b1f: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x5e7c93a11fdc3f319a5aa7b3d163c766201354b96ecbf67777e896c9fbd7d80c: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xa13a40978dc4a260e83c50ff97728ededd677e37880f18acad3180e4ee20cd9e: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x862ccb3ffcec6d44dd285590a53c9ed96b097af8d1931b6340e777f0c394c2e3: Transaction amount significantly lower than average 0xa5133462b18181b4d67736c68daf719695c4ac087c739c559500ccf3da76b338: Transaction amount significantly lower than average 0x2448292a5b5b5a6c79bf492d9cd6f1fe8e556ef25f4db965e8026716e19115eb: Transaction amount significantly lower than average 0x1b483a759a74a3e2c6251188c5cdaa8883d1a9dd03387751a09cc8e65aeba9f4: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xfa457385e65a83111b1dd78b6b5b85d283b7f780ee8b27adb07d48b04dd88d0e: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0x57c703f8ac32bea0893a1db094c0e8ced7e813ebbf3c7fee7ca4ea9aa39ea752: Transaction amount significantly lower than average 0x211a6135e4e7a753402eb3812c9ffeaf0f11d7a2160260c9adda595bde3fcd94: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xaa1c4ffce054c8f30815fad5e962de71dad4aabbae84d18112d8a31553bcf2b0: Transaction amount significantly lower than average 0xfcc01c39aa0200f8c43c22fb30a2eabecb4b239730ae5d5be7e94b53ff17c08d: Transaction amount significantly lower than average 0xbdbde112e1debadbcb5029e5214bd627060816d9fda9006bbf6d5c6709fc0200: Transaction amount significantly lower than average 0x56351cf00234e530010d2ef8c022b534e6913f564061cbe4802c2eac46d4d8ae: Transaction amount significantly lower than average 0xed9f85e4f910f231e3f0189c8899b083131f2bb5b76f71493500d6223f82f990: Transaction amount significantly lower than average
0xaca02b444d6a2d67c2e0a2d856fc63db01de25fc59c6863650bf6015d765986e: High frequency transactions (less than 1 minute interval) 0xfa408ec9cccdd0c56147f4e67d400557f3cff9779a376f95e25db88920b19f06: High frequency transactions (less than 1 minute interval) 0xf5ff8f5cb5b29f7c851a13c42fb795e522a8c4784679f4f4cd1af5e2c6b980c6: High frequency transactions (less than 1 minute interval) 0xc3cc1af38c2ffc06291102f3dbcce680c95f00a6d961b7c0d77a9995b37351bf: High frequency transactions (less than 1 minute interval) 0x3dfb681d85358c71b10eaececca3c51d595f0ee6bb44936f2d443dfc54b783d5: High frequency transactions (less than 1 minute interval) 0x2ffea832a0802b9b41001b8b9ff1a82f537062ddc5bf26cd84c6afc6d09f2728: High frequency transactions (less than 1 minute interval) 0x66cc8d1fdc6081657a02142d8552e26eb76ac241f4dbd858ed8f42ecf4d9241d: High frequency transactions (less than 1 minute interval) 0x2eed7df1022279fca02e738d7e15303ba80179266cc5f8f34999eba5bb9ee428: High frequency transactions (less than 1 minute interval) 0x9eee06f2e81b26b16f5a552a5237c0a0f5b914d7c553c52cda6aac4303baf0b9: High frequency transactions (less than 1 minute interval) 0xf625df3636b9f8d3ce7a5b0fee2af4ef0e9ef8fa60e244cc106a587d460ecc41: High frequency transactions (less than 1 minute interval) 0x00fea93b74cadf48d755cb668c339a2a8ae9caa0debfb44e8b09d60798c2b84e: High frequency transactions (less than 1 minute interval) 0xefed9bc017d8ff06c307d3deb69b873454c5e2d0054b514f5eb20b0180d48d51: High frequency transactions (less than 1 minute interval) 0x913285a8ea83b2374c41687568606af786603e375c2668821d9dcd1a1d55f3a9: High frequency transactions (less than 1 minute interval) 0xbaf641fdc432b34a2d2a94e15b069b7dbc7c8e327af59d146c0b8d8db0ad33d6: High frequency transactions (less than 1 minute interval) 0x14fa68ed62b533503ce1df4c3c083e88ea63b0f82a83ff913bbddf692f6d2a44: High frequency transactions (less than 1 minute interval) 0x632fe878281c57d4009674b71c5accd0a3f8280dd85e9e3dbbc8a6c16b1c3663: High frequency transactions (less than 1 minute interval) 0xd0faeb0a107878de0de01205a911512013f00cd2dafca40b1dd907800c4c9c86: High frequency transactions (less than 1 minute interval) 0xb9c85feaada951c093d9e9c0308b71a15b7477d86d27aa9633cf61f21a666b46: High frequency transactions (less than 1 minute interval) 0x9dc397260dd1ab757db98c042e4b1610ae6fe1dc19c3de074e1c3abd0bfb3ab1: High frequency transactions (less than 1 minute interval) 0x984c1840c352b9d9373a370ed16fe31b2d57a4be0142199c1551f8733f403b1f: High frequency transactions (less than 1 minute interval) 0x5e7c93a11fdc3f319a5aa7b3d163c766201354b96ecbf67777e896c9fbd7d80c: High frequency transactions (less than 1 minute interval) 0xa13a40978dc4a260e83c50ff97728ededd677e37880f18acad3180e4ee20cd9e: High frequency transactions (less than 1 minute interval) 0x862ccb3ffcec6d44dd285590a53c9ed96b097af8d1931b6340e777f0c394c2e3: High frequency transactions (less than 1 minute interval) 0xa5133462b18181b4d67736c68daf719695c4ac087c739c559500ccf3da76b338: High frequency transactions (less than 1 minute interval) 0x2448292a5b5b5a6c79bf492d9cd6f1fe8e556ef25f4db965e8026716e19115eb: High frequency transactions (less than 1 minute interval) 0x1b483a759a74a3e2c6251188c5cdaa8883d1a9dd03387751a09cc8e65aeba9f4: High frequency transactions (less than 1 minute interval) 0xfa457385e65a83111b1dd78b6b5b85d283b7f780ee8b27adb07d48b04dd88d0e: High frequency transactions (less than 1 minute interval) 0x57c703f8ac32bea0893a1db094c0e8ced7e813ebbf3c7fee7ca4ea9aa39ea752: High frequency transactions (less than 1 minute interval) 0x211a6135e4e7a753402eb3812c9ffeaf0f11d7a2160260c9adda595bde3fcd94: High frequency transactions (less than 1 minute interval) 0xaa1c4ffce054c8f30815fad5e962de71dad4aabbae84d18112d8a31553bcf2b0: High frequency transactions (less than 1 minute interval) 0xfcc01c39aa0200f8c43c22fb30a2eabecb4b239730ae5d5be7e94b53ff17c08d: High frequency transactions (less than 1 minute interval) 0xbdbde112e1debadbcb5029e5214bd627060816d9fda9006bbf6d5c6709fc0200: High frequency transactions (less than 1 minute interval) 0x56351cf00234e530010d2ef8c022b534e6913f564061cbe4802c2eac46d4d8ae: High frequency transactions (less than 1 minute interval) 0xed9f85e4f910f231e3f0189c8899b083131f2bb5b76f71493500d6223f82f990: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xc3cc1af…
60 High
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
No tags
0x5dc9a11…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xd0faeb0…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x2eed7df…
38 Medium
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
Transaction amount halved compared to previous transaction
No tags
0xb9c85fe…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x9dc3972…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x984c184…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x5e7c93a…
100 High
Repetitive transaction amount
Related to 233 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Sends funds to exploit address: 0x47666f...
Transaction involves DeFi exploit address: Bybit Exploiter 1
No tags
0xa13a409…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x862ccb3…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xa513346…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x2448292…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x1b483a7…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xfa45738…
100 High
Repetitive transaction amount
Address became active after a long inactive period
Related to 233 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Sends funds to exploit address: 0x47666f...
Transaction involves DeFi exploit address: Bybit Exploiter 1
No tags
0x57c703f…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x211a613…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xaa1c4ff…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xfcc01c3…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xbdbde11…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x56351cf…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xed9f85e…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xf5ff8f5…
62 High
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0xfa408ec…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xaca02b4…
49 High
Very short time between transactions
Related to 8 high-risk transactions (highest score: 89)
Transaction amount significantly lower than average
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Transaction amount halved compared to previous transaction
No tags
0x913285a…
39 Medium
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0x3dfb681…
62 High
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
No tags
0x2ffea83…
34 Medium
Repetitive transaction amount
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
No tags
0xf625df3…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x00fea93…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xefed9bc…
85 High
Round amount consistent with mixer
Standard mixer amount detected
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xbaf641f…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x14fa68e…
37 Medium
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
Transaction amount halved compared to previous transaction
No tags
0x632fe87…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x66cc8d1…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x9eee06f…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
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: 35 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 0xb11902686b66a38c7e925911f3626526e039cde9: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 19.03 - Total Suspicious Patterns: 35 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 15:59:05 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.

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