Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xfedc...7e95
Published
16 Jul 2025
9 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xfedc...7e95
Overview
Project Scope
Analysis of wallet 0xfedc7df9ab7f03882d63b3702a994bec83217e95 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xfedc7df9ab7f03882d63b3702a994bec83217e95
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xfedc7df9ab7f03882d63b3702a994bec83217e95
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 7 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 0xfedc7df9ab7f03882d63b3702a994bec83217e95
1. Blockchain Data Retrieval
- Retrieved 7 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 0xfedc7df9ab7f03882d63b3702a994bec83217e95
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 26 Suspicious Transactions: 7
Key Findings: - Automated analysis detected 7 suspicious transactions - Risk assessment indicates very high risk level - 26 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.
0xb94bb020c997af5034ec673c17fd31947d9bd0008ff6ec642baee2d9516f0201: Very short time between transactions
0x5c87edce41828c5bb6cae4bb47b4dca823af7bd23a8400fa55eda1a10f81e6bd: Very short time between transactions
0xc7f5f3191c46949ffd9bdd5cf547456e7aa224b61fb5727192df1886c40544f0: Very short time between transactions
0xf237d5f7918530b3c122cd779c1d94a2635fc0c93627cdcb4cf0bb5761454b69: Very short time between transactions
0x2a4a39b6f6950c4f78cb91cd89a51bf8583853c7e4e9b3908942c65befd2389b: Very short time between transactions
0xad50aaf7d4afa76643620efc9ce3805c5541f295bfebfa26959d5fa64e271e0a: Very short time between transactions
0x13dfa7041fedcfd77208faddee55ef9ddfe8e6d4ee0d549ea2a7a9b569f1bda8: Transaction amount halved compared to previous transaction
0xf237d5f7918530b3c122cd779c1d94a2635fc0c93627cdcb4cf0bb5761454b69: Transaction amount significantly lower than average
0xb94bb020c997af5034ec673c17fd31947d9bd0008ff6ec642baee2d9516f0201: High frequency transactions (less than 1 minute interval)
0xc7f5f3191c46949ffd9bdd5cf547456e7aa224b61fb5727192df1886c40544f0: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xf237d5f7918530b3c122cd779c1d94a2635fc0c93627cdcb4cf0bb5761454b69: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x2a4a39b6f6950c4f78cb91cd89a51bf8583853c7e4e9b3908942c65befd2389b: High frequency transactions (less than 1 minute interval)
0xad50aaf7d4afa76643620efc9ce3805c5541f295bfebfa26959d5fa64e271e0a: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xb94bb02…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 20
Part of suspicious wallet community
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Related to 93 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0x959c4c...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
0x13dfa70…
|
40
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of suspicious wallet community
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
Related to 3 high-risk transactions (highest score: 100)
|
0x5c87edc…
|
73
High
|
Related to 10 high-risk transactions (highest score: 85)
Large transaction amount
Part of suspicious wallet community
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
|
0x2a4a39b…
|
85
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Round amount consistent with mixer
Part of suspicious wallet community
Short time frame between transactions
Standard mixer amount detected
Very short time between transactions
Related to 17 high-risk transactions (highest score: 85)
|
0xc7f5f31…
|
56
High
|
Low transaction fee
Transaction amount significantly lower than average
Part of suspicious wallet community
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Related to 3 high-risk transactions (highest score: 79)
High frequency transactions (less than 1 minute interval)
|
0xf237d5f…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
0xad50aaf…
|
44
High
|
Low transaction fee
Part of suspicious wallet community
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 17 high-risk transactions (highest score: 85)
|
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: 6
Medium Risk Activities: 0
Total Flagged Transactions: 7
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 0xfedc7df9ab7f03882d63b3702a994bec83217e95:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 56.86
- Total Suspicious Patterns: 7
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 03:04:32 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 16, 2025
Views
9
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