Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf24b...5bab
Published
16 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf24b...5bab
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xf24b79869f7302684de74e581f4fe6ca4bf85bab - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xf24b79869f7302684de74e581f4fe6ca4bf85bab
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xf24b79869f7302684de74e581f4fe6ca4bf85bab
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 16 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 0xf24b79869f7302684de74e581f4fe6ca4bf85bab
1. Blockchain Data Retrieval
- Retrieved 16 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 0xf24b79869f7302684de74e581f4fe6ca4bf85bab
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 63 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 63 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.
0x31f294f9609e386c52decedc2b2d5ccc0cd48800238a56dc932b0b2b0e0be9f3: Very short time between transactions
0x9eef509a150723467cedc058739c7b8d32224437e54bb443d34fa250a4eda837: Very short time between transactions
0x7bc4c8a50d81d1de3064fb7025d32cc51945e3f70c2120b028ff6af8d6fb3231: Very short time between transactions
0xffd70f2267484cc61685b643b776f353e5507fa537a222419d590ef7c13ac4f3: Very short time between transactions
0x56f005b84c2de68a0d3a5623fce58ddbd26fa97dac98f0ec1ebb914316c2bcc8: Very short time between transactions
0x51690052cd55fdbdf0018e42e7b010ea82e5239b7626511f5d05a59a3e81d842: Very short time between transactions
0x4994e50cbe686292f91dd3e486d78db44480bd513a4749439b514c59a4c0cb20: Very short time between transactions
0x6aee668d29cb45015278114f2d4775a2c9235ef0bb488f30e06265fb7e46f52b: Very short time between transactions
0x1499faeee2c4f7959cc1d0fe8e6fe54183df55c9bf3a19e1bd469f06c15405bb: Very short time between transactions
0xf1f582a83d4112ce1ed58c2e796fcafe165a4a70329fb92077329788991ca3aa: Very short time between transactions
0x9796dd799243f740dd04c66b687b5477c6b797733c512329d9725ee93c0907a2: Very short time between transactions
0x98ccfe4cdd4676bb6a617c6e150c3aa5f987f606d30a34b2e4e3ddc8a3a4eec2: Very short time between transactions
0x2e76e0b9e03892f5dc0ab4e411050119b8db527881a0d05ee886adb0db73f0ba: Very short time between transactions
0xc7d2c8c771e6fd9c3b56b3ff0309c03bd5617a579c8a06fb29a9f0a19d986db6: Very short time between transactions
0x66dcb7f3c86a69f2b4552a944984ed78836121f9b33afda3fe50c28f2a30fbab: Very short time between transactions
0x31f294f9609e386c52decedc2b2d5ccc0cd48800238a56dc932b0b2b0e0be9f3: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x6aee668d29cb45015278114f2d4775a2c9235ef0bb488f30e06265fb7e46f52b: Transaction amount doubled compared to previous transaction
0x2e76e0b9e03892f5dc0ab4e411050119b8db527881a0d05ee886adb0db73f0ba: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average
0x31f294f9609e386c52decedc2b2d5ccc0cd48800238a56dc932b0b2b0e0be9f3: High frequency transactions (less than 1 minute interval)
0x9eef509a150723467cedc058739c7b8d32224437e54bb443d34fa250a4eda837: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x7bc4c8a50d81d1de3064fb7025d32cc51945e3f70c2120b028ff6af8d6fb3231: High frequency transactions (less than 1 minute interval)
0xffd70f2267484cc61685b643b776f353e5507fa537a222419d590ef7c13ac4f3: High frequency transactions (less than 1 minute interval)
0x56f005b84c2de68a0d3a5623fce58ddbd26fa97dac98f0ec1ebb914316c2bcc8: High frequency transactions (less than 1 minute interval)
0x51690052cd55fdbdf0018e42e7b010ea82e5239b7626511f5d05a59a3e81d842: High frequency transactions (less than 1 minute interval)
0x4994e50cbe686292f91dd3e486d78db44480bd513a4749439b514c59a4c0cb20: High frequency transactions (less than 1 minute interval)
0x6aee668d29cb45015278114f2d4775a2c9235ef0bb488f30e06265fb7e46f52b: High frequency transactions (less than 1 minute interval)
0x1499faeee2c4f7959cc1d0fe8e6fe54183df55c9bf3a19e1bd469f06c15405bb: High frequency transactions (less than 1 minute interval)
0xf1f582a83d4112ce1ed58c2e796fcafe165a4a70329fb92077329788991ca3aa: High frequency transactions (less than 1 minute interval)
0x9796dd799243f740dd04c66b687b5477c6b797733c512329d9725ee93c0907a2: High frequency transactions (less than 1 minute interval)
0x98ccfe4cdd4676bb6a617c6e150c3aa5f987f606d30a34b2e4e3ddc8a3a4eec2: High frequency transactions (less than 1 minute interval)
0x2e76e0b9e03892f5dc0ab4e411050119b8db527881a0d05ee886adb0db73f0ba: High frequency transactions (less than 1 minute interval)
0xc7d2c8c771e6fd9c3b56b3ff0309c03bd5617a579c8a06fb29a9f0a19d986db6: High frequency transactions (less than 1 minute interval)
0x66dcb7f3c86a69f2b4552a944984ed78836121f9b33afda3fe50c28f2a30fbab: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x649c981…
|
47
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x7bc4c8a…
|
53
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xffd70f2…
|
46
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x9eef509…
|
60
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x56f005b…
|
38
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x5169005…
|
51
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x4994e50…
|
50
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x1499fae…
|
58
High
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xf1f582a…
|
56
High
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x9796dd7…
|
40
High
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Very short time between transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x98ccfe4…
|
33
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
No tags
|
0x2e76e0b…
|
18
Low
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
No tags
|
0xc7d2c8c…
|
31
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
No tags
|
0x66dcb7f…
|
31
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Fan-in structuring detected: 7 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 5 similar amounts from different addresses totaling 0.00
Part of coordinated wallet cluster
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
No tags
|
0x6aee668…
|
46
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x31f294f…
|
100
High
|
Related to 173 high-risk transactions (highest score: 100)
Low transaction fee
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 21
High frequency transactions (less than 1 minute interval)
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Receives funds from exploit address: 0xb72334...
|
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: 16
Medium Risk Activities: 0
Total Flagged Transactions: 16
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 0xf24b79869f7302684de74e581f4fe6ca4bf85bab:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 47.38
- Total Suspicious Patterns: 16
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 01:12:42 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
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