Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xadc0...34cb
Published
14 Jul 2025
3 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xadc0...34cb
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb
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 0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb
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 0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 62 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 62 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.
0x96766662cbe0ab9669f2877f5f8b0fbd93d87a7e1beee83c7d2e609eb91ba7f9: Very short time between transactions
0x1b8919663ac407036c46411bd30eb6f67526ed0124a10fd794a75240d9392c69: Very short time between transactions
0x32317f7ffdce637ac970f136449019cf252823f86b7f0909bd7b57f6fabdb83c: Very short time between transactions
0x06dc76ddcb2cded3d635a01dbfeeba9a90e7c13bf5c4fa37a004b9448a5417c5: Very short time between transactions
0x4d3f746b0eb8d205f989013271bf8f0c3b9e5464418c50a44f10bf960c1d06c4: Very short time between transactions
0x09efe6ea0544bd5664596666926bc3fef4afb284b8f52304747a5efc4eef4180: Very short time between transactions
0xf7ae84785154c2a68add8ec55caa42906f7ccd297925a6445e1f90478675caf7: Very short time between transactions
0x9a12777cb79e5f9c0e13b3e2b84f9c9abe87e783637e13ba80ab8a9a25ea446a: Very short time between transactions
0x110a6ea96f7f8057ba5c64f4f9990d86a8ef46e1ebb3082212cc490ea141f48d: Very short time between transactions
0xe04a4b32f7fde69cf247c410ea9c8c099c24ab9ab8f583e756c5042a7070dfa6: Very short time between transactions
0x4c7d60b9017730fea6ff7a9ab9111e30b135b128e22173df1825638cd23d7fc7: Very short time between transactions
0x6cc7ed21f9f09e663fc3b2dfc030996dbddd3e00dffa4b27b2fce0283d8cadd7: Very short time between transactions
0x6390795951698635fa57e04f8433d8956260a9c61654956caa5136b7b2fa76fe: Very short time between transactions
0x8a8ea0bbf8765c6bba1306ad99c6586754eaf9feafc160f001de61bbf100bea2: Very short time between transactions
0xa8fb2d2c923c6629e4f48b6b96ef01287da4a9ff3e89ac69b0913c8430f1e404: Very short time between transactions
0x96766662cbe0ab9669f2877f5f8b0fbd93d87a7e1beee83c7d2e609eb91ba7f9: Transaction amount doubled compared to previous transaction
0x06dc76ddcb2cded3d635a01dbfeeba9a90e7c13bf5c4fa37a004b9448a5417c5: Transaction amount halved compared to previous transaction
0x4c7d60b9017730fea6ff7a9ab9111e30b135b128e22173df1825638cd23d7fc7: Transaction amount halved compared to previous transaction
0x96766662cbe0ab9669f2877f5f8b0fbd93d87a7e1beee83c7d2e609eb91ba7f9: High frequency transactions (less than 1 minute interval)
0x32317f7ffdce637ac970f136449019cf252823f86b7f0909bd7b57f6fabdb83c: High frequency transactions (less than 1 minute interval)
0x06dc76ddcb2cded3d635a01dbfeeba9a90e7c13bf5c4fa37a004b9448a5417c5: High frequency transactions (less than 1 minute interval)
0x4d3f746b0eb8d205f989013271bf8f0c3b9e5464418c50a44f10bf960c1d06c4: High frequency transactions (less than 1 minute interval)
0x09efe6ea0544bd5664596666926bc3fef4afb284b8f52304747a5efc4eef4180: High frequency transactions (less than 1 minute interval)
0xf7ae84785154c2a68add8ec55caa42906f7ccd297925a6445e1f90478675caf7: High frequency transactions (less than 1 minute interval)
0x9a12777cb79e5f9c0e13b3e2b84f9c9abe87e783637e13ba80ab8a9a25ea446a: High frequency transactions (less than 1 minute interval)
0x110a6ea96f7f8057ba5c64f4f9990d86a8ef46e1ebb3082212cc490ea141f48d: High frequency transactions (less than 1 minute interval)
0xe04a4b32f7fde69cf247c410ea9c8c099c24ab9ab8f583e756c5042a7070dfa6: High frequency transactions (less than 1 minute interval)
0x4c7d60b9017730fea6ff7a9ab9111e30b135b128e22173df1825638cd23d7fc7: High frequency transactions (less than 1 minute interval)
0x6cc7ed21f9f09e663fc3b2dfc030996dbddd3e00dffa4b27b2fce0283d8cadd7: High frequency transactions (less than 1 minute interval)
0x6390795951698635fa57e04f8433d8956260a9c61654956caa5136b7b2fa76fe: High frequency transactions (less than 1 minute interval)
0x8a8ea0bbf8765c6bba1306ad99c6586754eaf9feafc160f001de61bbf100bea2: High frequency transactions (less than 1 minute interval)
0xa8fb2d2c923c6629e4f48b6b96ef01287da4a9ff3e89ac69b0913c8430f1e404: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x1ffb0b8…
|
46
High
|
Short time frame between transactions
High volume of small transactions to the same wallet
Local Outlier Factor (LOF) detected as anomaly
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x4c7d60b…
|
37
Medium
|
Short time frame between transactions
High volume of small transactions to the same wallet
Related to high-risk transaction ['0xadc1f36a09f8296e01987e6febd6423e0d8b6eeda1a3d165153d403149310c5a'] (score: 79)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x6cc7ed2…
|
50
High
|
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Address became active after a long inactive period
|
No tags
|
0x6390795…
|
50
High
|
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
|
No tags
|
0x9676666…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 4
High volume of small transactions to the same wallet
Sends funds to exploit address: 0x154236...
Repetitive transaction amount
Low transaction fee
Related to 36 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x8a8ea0b…
|
43
High
|
High volume of small transactions to the same wallet
Related to high-risk transaction ['0x552075704333ace11b3d9bfb6f7145581cf1dee171c3270e359268aa39bd87b6'] (score: 81)
Anomaly detected by Isolation Forest
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xa8fb2d2…
|
45
High
|
High volume of small transactions to the same wallet
Related to high-risk transaction ['0x552075704333ace11b3d9bfb6f7145581cf1dee171c3270e359268aa39bd87b6'] (score: 81)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
|
No tags
|
0x1b89196…
|
51
High
|
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Very short time between transactions
|
No tags
|
0x32317f7…
|
61
High
|
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
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
Very short time between transactions
|
No tags
|
0x06dc76d…
|
49
High
|
Short time frame between transactions
High volume of small transactions to the same wallet
Local Outlier Factor (LOF) detected as anomaly
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x4d3f746…
|
65
High
|
Short time frame between transactions
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
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
|
0x09efe6e…
|
41
High
|
Short time frame between transactions
High volume of small transactions to the same wallet
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xf7ae847…
|
38
Medium
|
Short time frame between transactions
High volume of small transactions to the same wallet
Related to 159 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x9a12777…
|
38
Medium
|
Short time frame between transactions
High volume of small transactions to the same wallet
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x110a6ea…
|
100
High
|
High volume of small transactions to the same wallet
Related to 231 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Repetitive transaction amount
Address became active after a long inactive period
Transaction amount significantly lower than average
|
No tags
|
0xe04a4b3…
|
39
Medium
|
Short time frame between transactions
High volume of small transactions to the same wallet
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
|
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 0xadc0adee0edef99ae5ab16f9c97eb38f79e334cb:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 53.31
- 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: 2025-07-14 13:17:46 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
Views
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