Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x67ab...194c
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x67ab...194c
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Overview
Project Scope
Analysis of wallet 0x67ab6776cc93a6cb76ac0165939b4ad59b13194c - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x67ab6776cc93a6cb76ac0165939b4ad59b13194c
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x67ab6776cc93a6cb76ac0165939b4ad59b13194c
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 15 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 0x67ab6776cc93a6cb76ac0165939b4ad59b13194c
1. Blockchain Data Retrieval
- Retrieved 15 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 0x67ab6776cc93a6cb76ac0165939b4ad59b13194c
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 57 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 57 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.
0x9ef6aa76fcf40fbfdef9e6ebfc734e5356b4f75ee12fb4181c8127aaf29cd159: Very short time between transactions
0x98a0cc81876e72465a4dcc5cd3c302967953b5f584012621c4aa337c4707f77f: Very short time between transactions
0xdf7442b17e4a5dbf37f58c06b160aff56e02e36eb56014dbd1f0fec3634f3b06: Very short time between transactions
0x472797ed546498051180c1d87a963d8114f210bc8cc5e34f837b8a0a4fe880de: Very short time between transactions
0xbe578bb13e1e4d065fe0fab0af20de1e87573723944288bd6cc755d612c99058: Very short time between transactions
0x978691c9f45911bd5c659ca3139c200b5e5f6c6ab21ef891d00cb21e6383eb7c: Very short time between transactions
0x6fe974aa2198dce412339f591948c44618d95be7193bc2f65c317f7f28432fd6: Very short time between transactions
0xd130dcf153ca246ec15e5294737a31f886aaf914b755a62f8f0c2c2b634864ea: Very short time between transactions
0x8b6cb629dffe9b7e3d064f91347294720990b0fa835f22bb90e79f9660010e17: Very short time between transactions
0xa90e90904c7fe9d8c04f201811db620d8f5d094632cba351f10c282fb37dc32d: Very short time between transactions
0x07b9746775a27fab5258fda4c37dd0af83eadfe7d9afeb6573046a346a8aad4a: Very short time between transactions
0x153b1d01cb8ec4b87ca419a3da069feb776f2ad55cf686b7e7a523201b5df00f: Very short time between transactions
0x8ab7738a36cf869ea4d65970371dcb194175004084ec90bdc5047f81f5e606ad: Very short time between transactions
0x8732c37ae96e52eafe050813e4bcc6effd4f69fcd625191a1cc3286ead132569: Very short time between transactions
0xdf7442b17e4a5dbf37f58c06b160aff56e02e36eb56014dbd1f0fec3634f3b06: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x9ef6aa76fcf40fbfdef9e6ebfc734e5356b4f75ee12fb4181c8127aaf29cd159: High frequency transactions (less than 1 minute interval)
0x472797ed546498051180c1d87a963d8114f210bc8cc5e34f837b8a0a4fe880de: High frequency transactions (less than 1 minute interval)
0xbe578bb13e1e4d065fe0fab0af20de1e87573723944288bd6cc755d612c99058: High frequency transactions (less than 1 minute interval)
0x978691c9f45911bd5c659ca3139c200b5e5f6c6ab21ef891d00cb21e6383eb7c: High frequency transactions (less than 1 minute interval)
0x6fe974aa2198dce412339f591948c44618d95be7193bc2f65c317f7f28432fd6: High frequency transactions (less than 1 minute interval)
0xd130dcf153ca246ec15e5294737a31f886aaf914b755a62f8f0c2c2b634864ea: High frequency transactions (less than 1 minute interval)
0x8b6cb629dffe9b7e3d064f91347294720990b0fa835f22bb90e79f9660010e17: High frequency transactions (less than 1 minute interval)
0xa90e90904c7fe9d8c04f201811db620d8f5d094632cba351f10c282fb37dc32d: High frequency transactions (less than 1 minute interval)
0x07b9746775a27fab5258fda4c37dd0af83eadfe7d9afeb6573046a346a8aad4a: High frequency transactions (less than 1 minute interval)
0x153b1d01cb8ec4b87ca419a3da069feb776f2ad55cf686b7e7a523201b5df00f: High frequency transactions (less than 1 minute interval)
0x8ab7738a36cf869ea4d65970371dcb194175004084ec90bdc5047f81f5e606ad: High frequency transactions (less than 1 minute interval)
0x8732c37ae96e52eafe050813e4bcc6effd4f69fcd625191a1cc3286ead132569: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
15
Average Risk Score
46.67
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x8b6cb62…
|
43
High
|
Short time frame between transactions
Related to high-risk transaction ['0xb6c2d61371319479e5266a533045281974009c0f1f12c60b8fcd662c5cef5b06'] (score: 85)
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Rapid accumulation of large transactions
|
No tags
|
0x98a0cc8…
|
43
High
|
Related to high-risk transaction ['0x34cb0b7e63700c3c427528b595eaec1e66499cd2157731d708903764b13ce1d6'] (score: 76)
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x9ef6aa7…
|
55
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)
Low transaction fee
Very short time between transactions
|
No tags
|
0xe7e5f33…
|
54
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x472797e…
|
33
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xbe578bb…
|
52
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x978691c…
|
49
High
|
Short time frame between transactions
Multiple round number transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x6fe974a…
|
35
Medium
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0xd130dcf…
|
32
Medium
|
Short time frame between transactions
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
|
No tags
|
0xa90e909…
|
50
High
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x07b9746…
|
56
High
|
Short time frame between transactions
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x153b1d0…
|
32
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x8ab7738…
|
32
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x8732c37…
|
32
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0xdf7442b…
|
100
High
|
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Related to 84 high-risk transactions (highest score: 100)
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: 15
Medium Risk Activities: 0
Total Flagged Transactions: 15
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 0x67ab6776cc93a6cb76ac0165939b4ad59b13194c:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 46.53
- Total Suspicious Patterns: 15
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 06:11:14 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
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