Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x8d26...d0ba
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x8d26...d0ba
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Overview
Project Scope
Analysis of wallet 0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 6 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 0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba
1. Blockchain Data Retrieval
- Retrieved 6 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 0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 23 Suspicious Transactions: 6
Key Findings: - Automated analysis detected 6 suspicious transactions - Risk assessment indicates very high risk level - 23 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.
0xc14cc1dbac467a019a2e803812a2b2bf2f128aa54047a8b01e2b6053887e5c99: Very short time between transactions
0x8c82da141b05b8a2bba888b14ba3ecedae0c79908d91b41fc4b982c52ad73ce3: Very short time between transactions
0xf2467b24670e692cd17458c64c3455e84974e1c70ab28aaeec433e84833bd253: Very short time between transactions
0xca2eec3313a2caa49dee8ac26aee00d8ad9200271292810f0ba3c96925a58898: Very short time between transactions
0x826f61cfc7ca83f42b00d8e7969d2ff02fd131ea9179df3c18eb8b3420b0722e: Very short time between transactions
0x8c82da141b05b8a2bba888b14ba3ecedae0c79908d91b41fc4b982c52ad73ce3: Transaction amount doubled compared to previous transaction
0xf50678838742d603c1c7efad1c1275bc2ec6166770fff25ffc75b9cbc86bbbff: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xc14cc1dbac467a019a2e803812a2b2bf2f128aa54047a8b01e2b6053887e5c99: High frequency transactions (less than 1 minute interval)
0x8c82da141b05b8a2bba888b14ba3ecedae0c79908d91b41fc4b982c52ad73ce3: High frequency transactions (less than 1 minute interval)
0xf2467b24670e692cd17458c64c3455e84974e1c70ab28aaeec433e84833bd253: High frequency transactions (less than 1 minute interval)
0xca2eec3313a2caa49dee8ac26aee00d8ad9200271292810f0ba3c96925a58898: High frequency transactions (less than 1 minute interval)
0x826f61cfc7ca83f42b00d8e7969d2ff02fd131ea9179df3c18eb8b3420b0722e: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
6
Average Risk Score
87.67
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xca2eec3…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 12
Related to 83 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
Outgoing structuring detected: 5 similar amounts totaling 0.00
Low transaction fee
Part of suspicious wallet community
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Sends funds to exploit address: 0xb172f7...
Outgoing structuring detected: 4 similar amounts totaling 0.00
|
No tags
|
0x826f61c…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 12
Related to 83 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
Outgoing structuring detected: 5 similar amounts totaling 0.00
Low transaction fee
Part of suspicious wallet community
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Sends funds to exploit address: 0xb172f7...
Outgoing structuring detected: 4 similar amounts totaling 0.00
|
No tags
|
0xf506788…
|
26
Medium
|
Related to 16 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of suspicious wallet community
Very short time between transactions
|
No tags
|
0xc14cc1d…
|
100
High
|
Sends funds to exploit address: 0x229093...
Related to 99 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
Transaction involves DeFi exploit address: Bybit Exploiter 15
Outgoing structuring detected: 5 similar amounts totaling 0.00
Low transaction fee
Part of suspicious wallet community
Repetitive transaction amount
|
No tags
|
0x8c82da1…
|
100
High
|
Short time frame between transactions
Sends funds to exploit address: 0x229093...
Related to 99 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
Transaction involves DeFi exploit address: Bybit Exploiter 15
Outgoing structuring detected: 5 similar amounts totaling 0.00
Repetitive transaction amount
Part of suspicious wallet community
Low transaction fee
Outgoing structuring detected: 4 similar amounts totaling 0.00
|
No tags
|
0xf2467b2…
|
100
High
|
Sends funds to exploit address: 0x229093...
Related to 99 high-risk transactions (highest score: 100)
Outgoing structuring detected: 6 similar amounts totaling 0.00
Transaction involves DeFi exploit address: Bybit Exploiter 15
Outgoing structuring detected: 5 similar amounts totaling 0.00
Low transaction fee
Part of suspicious wallet community
Repetitive transaction amount
Outgoing structuring detected: 3 similar amounts totaling 0.00
Outgoing structuring detected: 4 similar amounts totaling 0.00
|
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: 6
Medium Risk Activities: 0
Total Flagged Transactions: 6
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 0x8d26b953d536de2de7645d93cc0cfdf337d0d0ba:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 87.67
- Total Suspicious Patterns: 6
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 09:52:41 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
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