Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc17a...cd0f
Published
15 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc17a...cd0f
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f
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 0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f
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 0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 70 Suspicious Transactions: 18
Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 70 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.
0xc0ed487d61dd04e8323db4ea47f0d30ff2a96cd66089494d523db7bd819ab9d5: Very short time between transactions
0xd4d13e4e6776e4d67e9377ecc77c939c63ab6c06bbe26da55aa5a502ed3fe5ed: Very short time between transactions
0x97a1a8349aedd8a2560df4a2246b0978d9196846f6fecb2e6cc65c7f554ee8db: Very short time between transactions
0x3c2784f16c99918436e9dd15899accb1b733ec777d8bf3e30ea95b2394e19a2e: Very short time between transactions
0xe45dcfd1d865bbeeb4f3537e0fad2a07ced53792627adff2ef5b2342b537fe75: Very short time between transactions
0xc0503368abaf7c2abe7831b1c6293af4bd38fa3a8fb08b913c23036e5fce45b2: Very short time between transactions
0x1dfadde9023f4fa1c7361ac2882188fe84e1f7a63fa613fd6448e7bb7d98127e: Very short time between transactions
0xa08dc5e49011b53fe48184080e97171d52d6263ffb7b7d9131f75a099414a72f: Very short time between transactions
0xde9aa6d98e4123bd2c6445181e61d790b5abe0198ffc857a5cd8c619c878bb47: Very short time between transactions
0x91b758a3b56e383f7d77e1cbac1eb6232a54fb8f9b5e456abb7a8fb76ac53080: Very short time between transactions
0x59c94db579b57e5a931ebe65a041d5fe5be49ce0e6d7006e4119bb258eb2d28c: Very short time between transactions
0xb5edc00cec40b964a69a2035483163dac12f0d180d2df12c28901cd9414a0d91: Very short time between transactions
0x0b8c0fd4555416bce7b05e17807a19c44c1b09b4cf83297fc09aeab8c8b26d43: Very short time between transactions
0xbcf8b73df58c379a698e0d734ac4fbd3d5337e06086fa4aa87198d43e8119522: Very short time between transactions
0x09a6e839fe98b3683475781a971c4274be2b89a3979b722380f25fee4c0dc804: Very short time between transactions
0x1178f3d4beb1a71871043cfcfffa734ab1356290ed7ee7c43e7084bc519819d3: Very short time between transactions
0x0a83ef83a43669afc445663d7d1b18d616ed663007502b10314a64da73d66454: Very short time between transactions
0xc0ed487d61dd04e8323db4ea47f0d30ff2a96cd66089494d523db7bd819ab9d5: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0x97a1a8349aedd8a2560df4a2246b0978d9196846f6fecb2e6cc65c7f554ee8db: Transaction amount significantly lower than average
0x91b758a3b56e383f7d77e1cbac1eb6232a54fb8f9b5e456abb7a8fb76ac53080: Transaction amount doubled compared to previous transaction
0xb5edc00cec40b964a69a2035483163dac12f0d180d2df12c28901cd9414a0d91: Transaction amount doubled compared to previous transaction
0xeb88d7cc415882f69aed8adc8b26929f6d6fe5e10caf548ae1a282dfd05da63d: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x1178f3d4beb1a71871043cfcfffa734ab1356290ed7ee7c43e7084bc519819d3: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xc0ed487d61dd04e8323db4ea47f0d30ff2a96cd66089494d523db7bd819ab9d5: High frequency transactions (less than 1 minute interval)
0x97a1a8349aedd8a2560df4a2246b0978d9196846f6fecb2e6cc65c7f554ee8db: High frequency transactions (less than 1 minute interval)
0x3c2784f16c99918436e9dd15899accb1b733ec777d8bf3e30ea95b2394e19a2e: High frequency transactions (less than 1 minute interval)
0xe45dcfd1d865bbeeb4f3537e0fad2a07ced53792627adff2ef5b2342b537fe75: High frequency transactions (less than 1 minute interval)
0xc0503368abaf7c2abe7831b1c6293af4bd38fa3a8fb08b913c23036e5fce45b2: High frequency transactions (less than 1 minute interval)
0x1dfadde9023f4fa1c7361ac2882188fe84e1f7a63fa613fd6448e7bb7d98127e: High frequency transactions (less than 1 minute interval)
0xa08dc5e49011b53fe48184080e97171d52d6263ffb7b7d9131f75a099414a72f: High frequency transactions (less than 1 minute interval)
0xde9aa6d98e4123bd2c6445181e61d790b5abe0198ffc857a5cd8c619c878bb47: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x91b758a3b56e383f7d77e1cbac1eb6232a54fb8f9b5e456abb7a8fb76ac53080: High frequency transactions (less than 1 minute interval)
0x59c94db579b57e5a931ebe65a041d5fe5be49ce0e6d7006e4119bb258eb2d28c: High frequency transactions (less than 1 minute interval)
0xb5edc00cec40b964a69a2035483163dac12f0d180d2df12c28901cd9414a0d91: High frequency transactions (less than 1 minute interval)
0x0b8c0fd4555416bce7b05e17807a19c44c1b09b4cf83297fc09aeab8c8b26d43: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0xbcf8b73df58c379a698e0d734ac4fbd3d5337e06086fa4aa87198d43e8119522: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x09a6e839fe98b3683475781a971c4274be2b89a3979b722380f25fee4c0dc804: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x1178f3d4beb1a71871043cfcfffa734ab1356290ed7ee7c43e7084bc519819d3: High frequency transactions (less than 1 minute interval)
0x0a83ef83a43669afc445663d7d1b18d616ed663007502b10314a64da73d66454: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x97a1a83…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xeb88d7c…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x59c94db…
|
51
High
|
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
|
No tags
|
0xc0ed487…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 34
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Sends funds to exploit address: 0x3a21f4...
Related to 183 high-risk transactions (highest score: 100)
Transaction amount halved compared to previous transaction
|
No tags
|
0x1178f3d…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x0a83ef8…
|
32
Medium
|
Very short time between transactions
Related to 2 high-risk transactions (highest score: 90)
Multiple round number transactions
Transaction amount significantly lower than average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount halved compared to previous transaction
|
No tags
|
0xe45dcfd…
|
34
Medium
|
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
|
No tags
|
0xc050336…
|
39
Medium
|
Very short time between transactions
Related to 12 high-risk transactions (highest score: 97)
Transaction amount significantly higher than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x1dfadde…
|
29
Medium
|
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount halved compared to previous transaction
|
No tags
|
0xde9aa6d…
|
53
High
|
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0xd4d13e4…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Related to 14 high-risk transactions (highest score: 89)
|
No tags
|
0x3c2784f…
|
48
High
|
Related to 9 high-risk transactions (highest score: 85)
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0xa08dc5e…
|
48
High
|
Related to 13 high-risk transactions (highest score: 94)
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x0b8c0fd…
|
46
High
|
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xbcf8b73…
|
42
High
|
Repetitive transaction amount
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x09a6e83…
|
40
High
|
Repetitive transaction amount
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
|
No tags
|
0xb5edc00…
|
41
High
|
Address became active after a long inactive period
Transaction amount significantly lower than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x91b758a…
|
48
High
|
Very short time between transactions
Related to 12 high-risk transactions (highest score: 97)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
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: 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 0xc17a16a447a3c7dc04d404fcd7a951d23cb8cd0f:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 38.78
- 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: 2025-07-15 18:05:17 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 15, 2025
Views
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