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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xba31...9d9e

Published 15 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xba31...9d9e
LLM Analysis

Overview

Project Scope

Analysis of wallet 0xba31b393826f95d2c30875a88678557336e09d9e - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xba31b393826f95d2c30875a88678557336e09d9e
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xba31b393826f95d2c30875a88678557336e09d9e 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 34 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 0xba31b393826f95d2c30875a88678557336e09d9e 1. Blockchain Data Retrieval - Retrieved 34 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 0xba31b393826f95d2c30875a88678557336e09d9e

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 134 Suspicious Transactions: 34

Key Findings: - Automated analysis detected 34 suspicious transactions - Risk assessment indicates very high risk level - 134 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.
0x9e77c64a0df37355abaf0495f70d8909c21383b051fc041c8f073a20c00ec739: Transaction amount significantly higher than user average, Very short time between transactions 0xc8bba6faa232c486c2b08ac90d979ee11fe472b631e64375cacf97468176730d: Transaction amount significantly higher than user average, Very short time between transactions 0xb813e04da8cea43e38c1f6bd145a69c72131c2bfc1a9be4ce22a1006e8df3f2c: Transaction amount significantly higher than user average 0xc9641fb9f517a8e1b3c04e8cba3aea1a291b543ae197be8732ae63a039f69239: Very short time between transactions 0xc0a15bc32b3d37f16f70286bbbb4c8ae6e02f443941930de442962f11be37c46: Very short time between transactions 0x29a85285dda62db6cb7cfe6be5b36cb71dcd221eab088eb3494b7f4d672cbcc8: Very short time between transactions 0xfa28512465b37bd29d3d04a82ccd97184b3a31d123684db12541b4e28d696c22: Very short time between transactions 0xa3ab10e614863731fa4d8758d8ed7774b42e2b202fd2d12d10e2ee77671c434d: Very short time between transactions 0xd081b499d92c9a8c93297829c625496611c1f3387ad217be7d8d765cec020310: Very short time between transactions 0x13efcd621a65b36d14178082736d0efbd63089d5c40cbf1644d36e9dc542c90a: Very short time between transactions 0x2f2a0e1725cdab0537779b36410a516fac1f7cacf7753c27969b253b450b7eab: Very short time between transactions 0x46cc6d02bae290bcbfaac0d6bd9087ad220bc5b122fb00403dbc0a4ae3df4ed0: Very short time between transactions 0x81fee0cfb4449dca0952d2f76d2e75cafd69ba01b68bf4547dc38ff439fda4b1: Very short time between transactions 0x9f9a680fd73e4d69bdab2bececc325161c7c21208afbcf4718203866d409ab24: Very short time between transactions 0x8758b60bc0c9eb81863ca683a4abe25c1fa6070940f2e1d54200f5d79bb15d27: Very short time between transactions 0x4c2b62a99e54e841dd2d1ad2059c962f701edacdd62eab6f19a78dc81b70fd16: Very short time between transactions 0x679df794864a8487d7ea3be4338df7677a90ebc88d20916d3d112db44e44cb35: Very short time between transactions 0x6fa0177672e48b23725031d9a3acc802c73ee5ee9cc7dbcc4565971ff2d42056: Very short time between transactions 0x15cc3eede7153b0074f8c936e0ac88c78a17905c14dcf4bd8a3e68d680cea888: Very short time between transactions 0x4f368b9cc19776e0b5b944bafb30d913780c34a054196543e48781f8c84a5cb4: Transaction amount significantly higher than user average, Very short time between transactions 0xc341f568b2b767f8cf251d140658082de580b72c3ca68703bf420ec0caa0d0da: Very short time between transactions 0x7d4dca80e04dbdade423707d387d4f6d996b045ad93af678200c39ce32a4a8d2: Very short time between transactions 0x708a1a6d261c30d6f54983a1c761562476b2685ad757a25d6e231094113f415b: Transaction amount significantly higher than user average, Very short time between transactions 0xe202d70049dd659768204f75019922b7b545ec297e0405cef7bb91925e257717: Very short time between transactions 0xb3ce8ff5482b7944b669a74a558754a4645f318d7737e4efc0fceb45554aa6f9: Very short time between transactions 0x15f002a73ff9d66964729be3f16a60e6713a1d69185813fd63fe48eb052dfafc: Very short time between transactions 0xe1c59a65ddc50803a3a051a795621b46d2aeef9f8072677e2e33be4a8d32b4fa: Very short time between transactions 0xbdd710782cadf144941241795dc650620dad941a0260979e1111d3d6856d358d: Very short time between transactions 0xafe257fb5eb839de8a10b09cafeeeaa83b5f28bf30ea2354245fd14ba4f6e803: Very short time between transactions 0xc33552afef72b26b6c8e7158ade9ae682c2506003957aacc6361ef68d15b6870: Very short time between transactions 0x9dbc4f7291673089c0c0adad836f7b3e2d854af8ad0fd28e257a97121638dfb8: Very short time between transactions 0x5ab873486b3acc48e0544e3f7462461375573a1bae2adc8420afbb2290525355: Very short time between transactions 0x19106623786b96875ef80b8100a6f46842133bec043d291dce87d276160a2a2a: Very short time between transactions
0x9e77c64a0df37355abaf0495f70d8909c21383b051fc041c8f073a20c00ec739: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xc8bba6faa232c486c2b08ac90d979ee11fe472b631e64375cacf97468176730d: Transaction amount significantly higher than average 0xb813e04da8cea43e38c1f6bd145a69c72131c2bfc1a9be4ce22a1006e8df3f2c: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xc9641fb9f517a8e1b3c04e8cba3aea1a291b543ae197be8732ae63a039f69239: Transaction amount significantly lower than average 0xc0a15bc32b3d37f16f70286bbbb4c8ae6e02f443941930de442962f11be37c46: Transaction amount significantly lower than average 0x29a85285dda62db6cb7cfe6be5b36cb71dcd221eab088eb3494b7f4d672cbcc8: Transaction amount significantly lower than average 0xa3ab10e614863731fa4d8758d8ed7774b42e2b202fd2d12d10e2ee77671c434d: Transaction amount significantly lower than average 0xd081b499d92c9a8c93297829c625496611c1f3387ad217be7d8d765cec020310: Transaction amount halved compared to previous transaction 0x46cc6d02bae290bcbfaac0d6bd9087ad220bc5b122fb00403dbc0a4ae3df4ed0: Transaction amount significantly lower than average 0x81fee0cfb4449dca0952d2f76d2e75cafd69ba01b68bf4547dc38ff439fda4b1: Transaction amount halved compared to previous transaction 0x9f9a680fd73e4d69bdab2bececc325161c7c21208afbcf4718203866d409ab24: Transaction amount doubled compared to previous transaction 0x8758b60bc0c9eb81863ca683a4abe25c1fa6070940f2e1d54200f5d79bb15d27: Transaction amount significantly lower than average 0x4c2b62a99e54e841dd2d1ad2059c962f701edacdd62eab6f19a78dc81b70fd16: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x679df794864a8487d7ea3be4338df7677a90ebc88d20916d3d112db44e44cb35: Transaction amount significantly lower than average 0x6fa0177672e48b23725031d9a3acc802c73ee5ee9cc7dbcc4565971ff2d42056: Transaction amount significantly lower than average 0x15cc3eede7153b0074f8c936e0ac88c78a17905c14dcf4bd8a3e68d680cea888: Transaction amount doubled compared to previous transaction 0x4f368b9cc19776e0b5b944bafb30d913780c34a054196543e48781f8c84a5cb4: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xc341f568b2b767f8cf251d140658082de580b72c3ca68703bf420ec0caa0d0da: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0x6c262f5632f2a27d06ad3d9445587dd20766143a0f81aca4e1793faca4bfd4f3: Transaction amount halved compared to previous transaction 0x7d4dca80e04dbdade423707d387d4f6d996b045ad93af678200c39ce32a4a8d2: Transaction amount significantly lower than average 0x708a1a6d261c30d6f54983a1c761562476b2685ad757a25d6e231094113f415b: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average 0xe202d70049dd659768204f75019922b7b545ec297e0405cef7bb91925e257717: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xb3ce8ff5482b7944b669a74a558754a4645f318d7737e4efc0fceb45554aa6f9: Transaction amount significantly lower than average 0x15f002a73ff9d66964729be3f16a60e6713a1d69185813fd63fe48eb052dfafc: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xe1c59a65ddc50803a3a051a795621b46d2aeef9f8072677e2e33be4a8d32b4fa: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xbdd710782cadf144941241795dc650620dad941a0260979e1111d3d6856d358d: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0xafe257fb5eb839de8a10b09cafeeeaa83b5f28bf30ea2354245fd14ba4f6e803: Transaction amount significantly lower than average 0xc33552afef72b26b6c8e7158ade9ae682c2506003957aacc6361ef68d15b6870: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x9dbc4f7291673089c0c0adad836f7b3e2d854af8ad0fd28e257a97121638dfb8: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x5ab873486b3acc48e0544e3f7462461375573a1bae2adc8420afbb2290525355: Transaction amount significantly lower than average 0x19106623786b96875ef80b8100a6f46842133bec043d291dce87d276160a2a2a: Transaction amount significantly lower than average
0x9e77c64a0df37355abaf0495f70d8909c21383b051fc041c8f073a20c00ec739: High frequency transactions (less than 1 minute interval) 0xc8bba6faa232c486c2b08ac90d979ee11fe472b631e64375cacf97468176730d: High frequency transactions (less than 1 minute interval) 0xc9641fb9f517a8e1b3c04e8cba3aea1a291b543ae197be8732ae63a039f69239: High frequency transactions (less than 1 minute interval) 0xc0a15bc32b3d37f16f70286bbbb4c8ae6e02f443941930de442962f11be37c46: High frequency transactions (less than 1 minute interval) 0x29a85285dda62db6cb7cfe6be5b36cb71dcd221eab088eb3494b7f4d672cbcc8: High frequency transactions (less than 1 minute interval) 0xfa28512465b37bd29d3d04a82ccd97184b3a31d123684db12541b4e28d696c22: High frequency transactions (less than 1 minute interval) 0xa3ab10e614863731fa4d8758d8ed7774b42e2b202fd2d12d10e2ee77671c434d: High frequency transactions (less than 1 minute interval) 0xd081b499d92c9a8c93297829c625496611c1f3387ad217be7d8d765cec020310: High frequency transactions (less than 1 minute interval) 0x13efcd621a65b36d14178082736d0efbd63089d5c40cbf1644d36e9dc542c90a: High frequency transactions (less than 1 minute interval) 0x2f2a0e1725cdab0537779b36410a516fac1f7cacf7753c27969b253b450b7eab: High frequency transactions (less than 1 minute interval) 0x46cc6d02bae290bcbfaac0d6bd9087ad220bc5b122fb00403dbc0a4ae3df4ed0: High frequency transactions (less than 1 minute interval) 0x81fee0cfb4449dca0952d2f76d2e75cafd69ba01b68bf4547dc38ff439fda4b1: High frequency transactions (less than 1 minute interval) 0x9f9a680fd73e4d69bdab2bececc325161c7c21208afbcf4718203866d409ab24: High frequency transactions (less than 1 minute interval) 0x8758b60bc0c9eb81863ca683a4abe25c1fa6070940f2e1d54200f5d79bb15d27: High frequency transactions (less than 1 minute interval) 0x4c2b62a99e54e841dd2d1ad2059c962f701edacdd62eab6f19a78dc81b70fd16: High frequency transactions (less than 1 minute interval) 0x679df794864a8487d7ea3be4338df7677a90ebc88d20916d3d112db44e44cb35: High frequency transactions (less than 1 minute interval) 0x6fa0177672e48b23725031d9a3acc802c73ee5ee9cc7dbcc4565971ff2d42056: High frequency transactions (less than 1 minute interval) 0x15cc3eede7153b0074f8c936e0ac88c78a17905c14dcf4bd8a3e68d680cea888: High frequency transactions (less than 1 minute interval) 0x4f368b9cc19776e0b5b944bafb30d913780c34a054196543e48781f8c84a5cb4: High frequency transactions (less than 1 minute interval) 0xc341f568b2b767f8cf251d140658082de580b72c3ca68703bf420ec0caa0d0da: High frequency transactions (less than 1 minute interval) 0x7d4dca80e04dbdade423707d387d4f6d996b045ad93af678200c39ce32a4a8d2: High frequency transactions (less than 1 minute interval) 0x708a1a6d261c30d6f54983a1c761562476b2685ad757a25d6e231094113f415b: High frequency transactions (less than 1 minute interval) 0xe202d70049dd659768204f75019922b7b545ec297e0405cef7bb91925e257717: High frequency transactions (less than 1 minute interval) 0xb3ce8ff5482b7944b669a74a558754a4645f318d7737e4efc0fceb45554aa6f9: High frequency transactions (less than 1 minute interval) 0x15f002a73ff9d66964729be3f16a60e6713a1d69185813fd63fe48eb052dfafc: High frequency transactions (less than 1 minute interval) 0xe1c59a65ddc50803a3a051a795621b46d2aeef9f8072677e2e33be4a8d32b4fa: High frequency transactions (less than 1 minute interval) 0xbdd710782cadf144941241795dc650620dad941a0260979e1111d3d6856d358d: High frequency transactions (less than 1 minute interval) 0xafe257fb5eb839de8a10b09cafeeeaa83b5f28bf30ea2354245fd14ba4f6e803: High frequency transactions (less than 1 minute interval) 0xc33552afef72b26b6c8e7158ade9ae682c2506003957aacc6361ef68d15b6870: High frequency transactions (less than 1 minute interval) 0x9dbc4f7291673089c0c0adad836f7b3e2d854af8ad0fd28e257a97121638dfb8: High frequency transactions (less than 1 minute interval) 0x5ab873486b3acc48e0544e3f7462461375573a1bae2adc8420afbb2290525355: High frequency transactions (less than 1 minute interval) 0x19106623786b96875ef80b8100a6f46842133bec043d291dce87d276160a2a2a: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xc9641fb…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x6c262f5…
28 Medium
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Related to 43 high-risk transactions (highest score: 100)
Transaction amount halved compared to previous transaction
No tags
0x4c2b62a…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xc8bba6f…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Related to 240 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x47666f...
Transaction amount halved compared to previous transaction
No tags
0x7d4dca8…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x9e77c64…
100 High
Address became active after a long inactive period
Transaction amount significantly lower than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Related to 240 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x47666f...
Transaction involves DeFi exploit address: Bybit Exploiter 1
No tags
0x708a1a6…
100 High
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Related to 240 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x47666f...
Transaction involves DeFi exploit address: Bybit Exploiter 1
No tags
0xe202d70…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xb3ce8ff…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x15f002a…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xe1c59a6…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xbdd7107…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xafe257f…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xc33552a…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x9dbc4f7…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x5ab8734…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x1910662…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xc0a15bc…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x29a8528…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xfa28512…
45 High
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Related to 43 high-risk transactions (highest score: 100)
Transaction amount halved compared to previous transaction
No tags
0xd081b49…
43 High
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Related to 43 high-risk transactions (highest score: 100)
No tags
0x13efcd6…
34 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Related to 237 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
No tags
0x2f2a0e1…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Related to 237 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0x46cc6d0…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x81fee0c…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Related to 237 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0x9f9a680…
42 High
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
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
0x8758b60…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xb813e04…
85 High
Round amount consistent with mixer
Standard mixer amount detected
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
Transaction amount doubled compared to previous transaction
No tags
0xa3ab10e…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x679df79…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x15cc3ee…
26 Medium
Repetitive transaction amount
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
No tags
0x4f368b9…
100 High
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Related to 240 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x47666f...
Transaction amount halved compared to previous transaction
No tags
0x6fa0177…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xc341f56…
50 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
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
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: 14 Medium Risk Activities: 0 Total Flagged Transactions: 34 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 0xba31b393826f95d2c30875a88678557336e09d9e: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 23.68 - Total Suspicious Patterns: 34 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 17:05:59 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.