SECURING CONNECTION
INITIALIZING BLOCKCHAIN ANALYSIS
SITE AVAILABLE TRUE
SECURITY LEVEL SECURE
NETWORK STATUS SECURE

Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x99fb...dac4

Published 14 Jul 2025 7 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x99fb...dac4
Login to view LLM Analysis

Overview

Project Scope

Analysis of wallet 0x99fb50041df02cbbfc173a5330f332740010dac4 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x99fb50041df02cbbfc173a5330f332740010dac4
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x99fb50041df02cbbfc173a5330f332740010dac4 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 5 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 0x99fb50041df02cbbfc173a5330f332740010dac4 1. Blockchain Data Retrieval - Retrieved 5 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 0x99fb50041df02cbbfc173a5330f332740010dac4

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 19 Suspicious Transactions: 5

Key Findings: - Automated analysis detected 5 suspicious transactions - Risk assessment indicates very high risk level - 19 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.
0xc61e143a439ed216a0f6c9b2e5d79ce66b99a82d6d263b0128f07790742c61af: Very short time between transactions 0xe086e28ba3e3a9ae00cab7e6b379f6ae55a86c7931b85e6e0a0ec265e72d2055: Very short time between transactions 0xdb9986a6419484a980b85f9987a1b75eece4e6a8ba4d1faf7a8b57fec75c2a21: Very short time between transactions 0x35fec22ff7b90d005caee097aca929a99ac7cdb46c1dc25672ed288d95393063: Very short time between transactions
0x7219e24e002a422cc20e4d0a43fc4a3242d785a0c007536de9b47d6013e5b543: Transaction amount halved compared to previous transaction
0xc61e143a439ed216a0f6c9b2e5d79ce66b99a82d6d263b0128f07790742c61af: High frequency transactions (less than 1 minute interval) 0xe086e28ba3e3a9ae00cab7e6b379f6ae55a86c7931b85e6e0a0ec265e72d2055: High frequency transactions (less than 1 minute interval) 0xdb9986a6419484a980b85f9987a1b75eece4e6a8ba4d1faf7a8b57fec75c2a21: High frequency transactions (less than 1 minute interval) 0x35fec22ff7b90d005caee097aca929a99ac7cdb46c1dc25672ed288d95393063: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
5
Average Risk Score
67.2
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xc61e143…
100 High
Transaction amount significantly higher than average
Receives funds from exploit address: 0x1bb097...
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 16
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Related to 39 high-risk transactions (highest score: 100)
No tags
0x7219e24…
41 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xe086e28…
62 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xdb9986a…
74 High
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of suspicious wallet community
Transaction amount doubled compared to previous transaction
No tags
0x35fec22…
57 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved 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: 5 Medium Risk Activities: 0 Total Flagged Transactions: 5 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 0x99fb50041df02cbbfc173a5330f332740010dac4: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 66.80 - Total Suspicious Patterns: 5 2. Key Findings - Automated analysis completed successfully - Multiple detection algorithms applied - Comprehensive risk evaluation performed - Standardized scoring methodology applied (score: 100/100) 3. Confidence Level - Analysis Quality: High - Data Coverage: Complete - Algorithm Performance: Validated 4. Summary The automated analysis has identified significant concerns. Immediate action recommended.

Recommendations

Immediate Action Recommendations: 1. Priority Actions - Escalate to compliance team immediately - Implement enhanced monitoring - Consider transaction restrictions - Document all findings 2. Investigation Requirements - Detailed transaction review required - Source of funds investigation - Enhanced due diligence protocols - Regular monitoring updates 3. Compliance Measures - File suspicious activity reports if required - Implement know-your-customer procedures - Apply enhanced monitoring protocols - Document risk mitigation measures

Severity Assessment

Very High

Appendices & References

Appendices

Appendix A: Automated Analysis Results Appendix B: Algorithm Details and Methodology Appendix C: Risk Assessment Matrix Appendix D: Transaction Pattern Analysis Appendix E: Network Connection Analysis Appendix F: Case Reference Documentation - CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001 Appendix G: Investigation Team Notes - Cladious Forensics Team

References

1. Blockchain Analysis Framework - Cladious Platform 2. Risk Assessment Guidelines - Financial Action Task Force (FATF) 3. Automated Analysis Documentation - Internal Methodology

Contact Information

Primary Analyst: Cladious Auto
Email: [email protected]
Generated: 2025-07-14 11:12:36 UTC
Investigation Team: Cladious Forensics Team
Case Reference: CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001

Platform: Cladious Security Analysis Platform
For questions or additional analysis requests, please contact the investigation team.

This report contains confidential information and should be handled according to your organization's data protection policies.

Report Information

Author Cladious Auto
Published Date July 14, 2025
Views 7
Likes 0