Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x1e6a...141b
Published
13 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x1e6a...141b
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Overview
Project Scope
Analysis of wallet 0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 10 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 0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b
1. Blockchain Data Retrieval
- Retrieved 10 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 0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 38 Suspicious Transactions: 10
Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 38 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.
0xf8ac9bd02a1aa8d9e3fd9376b82736958b2647e689bcf21356e0f7675eb0a330: Very short time between transactions
0x7dedcbeb95a9963d8146844bc4bf8cf582f035f5b262bb9993a6395867c2ce5d: Very short time between transactions
0xddbdd45cbfe66dd49aba68de42fd4a97bada8d22dfac328a1ad8513fac726a36: Very short time between transactions
0x0e774ecbfe9c698b4213b2df30e0c564d8814315e7de09270c68a33bad682af6: Very short time between transactions
0x7086bb50c87b1558f3752e2dc83d39bcb549e6588f7f9707a13c4955ab232fee: Very short time between transactions
0xc6ffb8c1182cf168b13e5277ffb0d9d497e1bb232da37c19eee8010144e7a3d2: Very short time between transactions
0x3c68a0c23ad64e578c4ebe07ad01155e44c32ed4cf88d0e299db430e349c6d70: Very short time between transactions
0x728979e56953288147cf4ffb5b8292ac7b28741c35d15808f1f3aa87958646e8: Very short time between transactions
0xf8ac9bd02a1aa8d9e3fd9376b82736958b2647e689bcf21356e0f7675eb0a330: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x728979e56953288147cf4ffb5b8292ac7b28741c35d15808f1f3aa87958646e8: Transaction amount halved compared to previous transaction
0xf8ac9bd02a1aa8d9e3fd9376b82736958b2647e689bcf21356e0f7675eb0a330: High frequency transactions (less than 1 minute interval)
0x7dedcbeb95a9963d8146844bc4bf8cf582f035f5b262bb9993a6395867c2ce5d: High frequency transactions (less than 1 minute interval)
0xddbdd45cbfe66dd49aba68de42fd4a97bada8d22dfac328a1ad8513fac726a36: High frequency transactions (less than 1 minute interval)
0x0e774ecbfe9c698b4213b2df30e0c564d8814315e7de09270c68a33bad682af6: High frequency transactions (less than 1 minute interval)
0x7086bb50c87b1558f3752e2dc83d39bcb549e6588f7f9707a13c4955ab232fee: High frequency transactions (less than 1 minute interval)
0xc6ffb8c1182cf168b13e5277ffb0d9d497e1bb232da37c19eee8010144e7a3d2: High frequency transactions (less than 1 minute interval)
0x3c68a0c23ad64e578c4ebe07ad01155e44c32ed4cf88d0e299db430e349c6d70: High frequency transactions (less than 1 minute interval)
0x728979e56953288147cf4ffb5b8292ac7b28741c35d15808f1f3aa87958646e8: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
10
Average Risk Score
40.5
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x7086bb5…
|
48
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0x728979e…
|
42
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Related to 3 high-risk transactions (highest score: 86)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Very short time between transactions
|
No tags
|
0xf8ac9bd…
|
100
High
|
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Related to 17 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
Transaction amount significantly lower than average
|
No tags
|
0xdda7410…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 6 high-risk transactions (highest score: 82)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x3c68a0c…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 6 high-risk transactions (highest score: 82)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x45ded2e…
|
26
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 6 high-risk transactions (highest score: 82)
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x7dedcbe…
|
35
Medium
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0xddbdd45…
|
37
Medium
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0x0e774ec…
|
26
Medium
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xc6ffb8c…
|
36
Medium
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
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: 10
Medium Risk Activities: 0
Total Flagged Transactions: 10
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 0x1e6ad4afa5e5da8c56c62598154b2a3f1822141b:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 40.30
- Total Suspicious Patterns: 10
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: 2025-07-13 23:35:38 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 13, 2025
Views
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