Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf611...061a
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf611...061a
Overview
Project Scope
Analysis of wallet 0xf611ffe2f2537006f3a8f8eb0de895a368ac061a - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf611ffe2f2537006f3a8f8eb0de895a368ac061a
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf611ffe2f2537006f3a8f8eb0de895a368ac061a
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 18 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 0xf611ffe2f2537006f3a8f8eb0de895a368ac061a
1. Blockchain Data Retrieval
- Retrieved 18 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 0xf611ffe2f2537006f3a8f8eb0de895a368ac061a
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 71 Suspicious Transactions: 18
Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 71 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.
0x60b2aece8b80c74665347d33f0247dc8aacda948a1eaeca053291ac9d84f4ed1: Very short time between transactions
0x4c791fb778a1e97a73fc7326ed3cfeff75f86437cbba7d3326d2d2a871df4795: Very short time between transactions
0xea38b0f20fdfa3c8e6c31d17a8bca9b90e660f635ea2dded0ee5d0b7db8b46e9: Very short time between transactions
0xabe7a21490271145d1aa8c2c3fc8ba3628e669a2c0ce83f04f97c7c1d4e88e41: Very short time between transactions
0x09bbc79e7b436c4ca06ce747b0d8ed9b74c60f4eb3f15f4eb25cdda3152ecd85: Very short time between transactions
0x813875bcf402e2496ea40230d1ff30cda7fe338872e7f8da1b3fc75fd82c0cfc: Very short time between transactions
0xd17ed2f494d9eb736a8db4d38eead8a69dbbaa06885eb0d8a1d44d50dacaa29f: Very short time between transactions
0xe8c75cac1bd7d9a5b0a619cc3c4e9983a6a05b09dfd02ab5f48b693967160b5b: Very short time between transactions
0x646c5a26eccb4b4c59fc4fa9479e451d52cda7470031585f4753943610c4d94e: Very short time between transactions
0x0f65a1d11d43c4b46931b63506fa69b737f3ee74abd48667caf9d51bfb8c9c8b: Very short time between transactions
0x3012df4bd433702b3b8b1fd9445d39a49be03801d326dfb469d8e30dc90590d7: Very short time between transactions
0x52b49c8181430de7352596fc0c8de9b02705edb98c9c5ad96d104d7f305fa552: Very short time between transactions
0xecff33fbf92e8bdf5dcec0f59cd20ec2b0814e58a9eba40b6fd5666ff8a31caf: Very short time between transactions
0x4dd0f4a631b66651f27f6562566f4e347e83e8c8647bb12abbbc552701f5229a: Very short time between transactions
0x7ff72991c97e27faa35761e492a21bb8352c336cc474a5e6a0f8903a0ea09782: Very short time between transactions
0xeec1af083cdb40d57296e9db3d9f49b87161a02cac06f9ad96c83dace2ebd38d: Transaction amount significantly higher than user average, Very short time between transactions
0x1ec4046e9a007c2c1edd4635a17fa0def0eca2b1af21082d5ec2a15df6c9351a: Very short time between transactions
0x60b2aece8b80c74665347d33f0247dc8aacda948a1eaeca053291ac9d84f4ed1: Transaction amount significantly lower than average
0x4c791fb778a1e97a73fc7326ed3cfeff75f86437cbba7d3326d2d2a871df4795: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0xea38b0f20fdfa3c8e6c31d17a8bca9b90e660f635ea2dded0ee5d0b7db8b46e9: Transaction amount significantly lower than average
0xabe7a21490271145d1aa8c2c3fc8ba3628e669a2c0ce83f04f97c7c1d4e88e41: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x09bbc79e7b436c4ca06ce747b0d8ed9b74c60f4eb3f15f4eb25cdda3152ecd85: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x813875bcf402e2496ea40230d1ff30cda7fe338872e7f8da1b3fc75fd82c0cfc: Transaction amount significantly higher than average
0xd17ed2f494d9eb736a8db4d38eead8a69dbbaa06885eb0d8a1d44d50dacaa29f: Transaction amount doubled compared to previous transaction
0xe8c75cac1bd7d9a5b0a619cc3c4e9983a6a05b09dfd02ab5f48b693967160b5b: Transaction amount doubled compared to previous transaction
0x646c5a26eccb4b4c59fc4fa9479e451d52cda7470031585f4753943610c4d94e: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x0f65a1d11d43c4b46931b63506fa69b737f3ee74abd48667caf9d51bfb8c9c8b: Transaction amount significantly lower than average
0x3012df4bd433702b3b8b1fd9445d39a49be03801d326dfb469d8e30dc90590d7: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0xecff33fbf92e8bdf5dcec0f59cd20ec2b0814e58a9eba40b6fd5666ff8a31caf: Transaction amount doubled compared to previous transaction
0x4dd0f4a631b66651f27f6562566f4e347e83e8c8647bb12abbbc552701f5229a: Transaction amount significantly higher than average
0x0b0b3ef8be1c131f6fbbdc5ed5723aa1d1fe12d2f8d6db44c71df1eb62490a17: Transaction amount significantly lower than average
0x7ff72991c97e27faa35761e492a21bb8352c336cc474a5e6a0f8903a0ea09782: Transaction amount significantly lower than average
0xeec1af083cdb40d57296e9db3d9f49b87161a02cac06f9ad96c83dace2ebd38d: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x1ec4046e9a007c2c1edd4635a17fa0def0eca2b1af21082d5ec2a15df6c9351a: Transaction amount significantly lower than average
0x60b2aece8b80c74665347d33f0247dc8aacda948a1eaeca053291ac9d84f4ed1: High frequency transactions (less than 1 minute interval)
0x4c791fb778a1e97a73fc7326ed3cfeff75f86437cbba7d3326d2d2a871df4795: High frequency transactions (less than 1 minute interval)
0xea38b0f20fdfa3c8e6c31d17a8bca9b90e660f635ea2dded0ee5d0b7db8b46e9: High frequency transactions (less than 1 minute interval)
0xabe7a21490271145d1aa8c2c3fc8ba3628e669a2c0ce83f04f97c7c1d4e88e41: High frequency transactions (less than 1 minute interval)
0x09bbc79e7b436c4ca06ce747b0d8ed9b74c60f4eb3f15f4eb25cdda3152ecd85: High frequency transactions (less than 1 minute interval)
0x813875bcf402e2496ea40230d1ff30cda7fe338872e7f8da1b3fc75fd82c0cfc: High frequency transactions (less than 1 minute interval)
0xd17ed2f494d9eb736a8db4d38eead8a69dbbaa06885eb0d8a1d44d50dacaa29f: High frequency transactions (less than 1 minute interval)
0xe8c75cac1bd7d9a5b0a619cc3c4e9983a6a05b09dfd02ab5f48b693967160b5b: High frequency transactions (less than 1 minute interval)
0x646c5a26eccb4b4c59fc4fa9479e451d52cda7470031585f4753943610c4d94e: High frequency transactions (less than 1 minute interval)
0x0f65a1d11d43c4b46931b63506fa69b737f3ee74abd48667caf9d51bfb8c9c8b: High frequency transactions (less than 1 minute interval)
0x3012df4bd433702b3b8b1fd9445d39a49be03801d326dfb469d8e30dc90590d7: High frequency transactions (less than 1 minute interval)
0x52b49c8181430de7352596fc0c8de9b02705edb98c9c5ad96d104d7f305fa552: High frequency transactions (less than 1 minute interval)
0xecff33fbf92e8bdf5dcec0f59cd20ec2b0814e58a9eba40b6fd5666ff8a31caf: High frequency transactions (less than 1 minute interval)
0x4dd0f4a631b66651f27f6562566f4e347e83e8c8647bb12abbbc552701f5229a: High frequency transactions (less than 1 minute interval)
0x7ff72991c97e27faa35761e492a21bb8352c336cc474a5e6a0f8903a0ea09782: High frequency transactions (less than 1 minute interval)
0xeec1af083cdb40d57296e9db3d9f49b87161a02cac06f9ad96c83dace2ebd38d: High frequency transactions (less than 1 minute interval)
0x1ec4046e9a007c2c1edd4635a17fa0def0eca2b1af21082d5ec2a15df6c9351a: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x0b0b3ef…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xe8c75ca…
|
27
Medium
|
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0x0f65a1d…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x3012df4…
|
43
High
|
Transaction amount significantly lower than average
Short time frame between transactions
Related to 209 high-risk transactions (highest score: 100)
Very short time between transactions
Rapid multi-hop layering pattern detected
Multiple round number transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x7ff7299…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xecff33f…
|
26
Medium
|
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0xeec1af0…
|
100
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction involves DeFi exploit address: Bybit Exploiter 1
Address became active after a long inactive period
Transaction amount halved compared to previous transaction
Related to 282 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x47666f...
|
No tags
|
0x646c5a2…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x52b49c8…
|
17
Low
|
Transaction amount halved compared to previous transaction
Address became active after a long inactive period
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
|
No tags
|
0x1ec4046…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xd17ed2f…
|
20
Low
|
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x4dd0f4a…
|
37
Medium
|
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly higher than user average
|
No tags
|
0x09bbc79…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x813875b…
|
42
High
|
Transaction amount significantly lower than average
Short time frame between transactions
Related to 209 high-risk transactions (highest score: 100)
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x4c791fb…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xea38b0f…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x60b2aec…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xabe7a21…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
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: 8
Medium Risk Activities: 0
Total Flagged Transactions: 18
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 0xf611ffe2f2537006f3a8f8eb0de895a368ac061a:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 17.33
- Total Suspicious Patterns: 18
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 01:45:44 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
6
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