Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x7512...beb7
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x7512...beb7
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Overview
Project Scope
Analysis of wallet 0x7512502c6baf67cc03f37e171a9b9395880bbeb7 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x7512502c6baf67cc03f37e171a9b9395880bbeb7
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x7512502c6baf67cc03f37e171a9b9395880bbeb7
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 21 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 0x7512502c6baf67cc03f37e171a9b9395880bbeb7
1. Blockchain Data Retrieval
- Retrieved 21 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 0x7512502c6baf67cc03f37e171a9b9395880bbeb7
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 83 Suspicious Transactions: 21
Key Findings: - Automated analysis detected 21 suspicious transactions - Risk assessment indicates very high risk level - 83 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.
0xd372b23bd1ab5d8a4449500b4f1d2a9d7a3d2233b90e4c5bf681c08df387b8a2: Very short time between transactions
0x870882e3218a1be40cda131d2c7a5267c6fde8b28b916aff290c6b4d1af096a1: Very short time between transactions
0x48360a951179efb8a719969b85537f8077921ddfd3dedd0206012be92fff5b1d: Very short time between transactions
0xb0744a1536786cef1f39db9ca033ae984542d5ebd8d17f3006af97baae998e9f: Very short time between transactions
0xcc7b4dc6124fb38bc8fc35196ed9d994bb4544dc28a44590eeb83df18b27103d: Very short time between transactions
0xab400b3d55413863e345c10fe65f3dccd3a41088f3ef5916475d3e13f284c6e2: Very short time between transactions
0x101759a49217e43eecadfbf2b9e7605550dd5151bd433f38d1d8e9d4724bfc0c: Very short time between transactions
0x4c960ca817bc3c976d85f03ba4a5d077a28f3537ae0ec6ab3e7b153d3c404477: Very short time between transactions
0xa3d2112256369c3eeea4be2a041052253d92464f9a1c46a1dd854bac203b3504: Very short time between transactions
0xb17ab9c663735db34812e294603442b49beef510959aaff51892c9601d79689f: Very short time between transactions
0x7169fbc8373679f0af383862032032126a145afa786aa1de2535d7e21420bd94: Very short time between transactions
0xfab46bafa844233becea2b6114da19c57607f1a2c5d177e78f89f7f38ad6706b: Very short time between transactions
0xce6c94b3b04f82a2e03ec2e9a85df49c8c1076bbb66debce298ff8caaddc105e: Very short time between transactions
0x5ddc0b14df449dcbf4647ee72140dd279d5a9c4e1bf17ec8206490e459df9b59: Very short time between transactions
0x0d8dec8c03a6cd4045ab668a73ea646eabfcc1967513ffe31069d926dfa80563: Very short time between transactions
0x6931778a5e5d9a466f8d5ebbcc813370324c67e9494aa938ce2b349fb16a1d35: Very short time between transactions
0xbe4dc86b8accf6228c1c50ca8a48c225fdd0e05b2c0ade6fb129e08ed1048327: Very short time between transactions
0x4c5ae1061e9df176cd15b1912c333a73baed1e647a44488e8d484518502164a8: Very short time between transactions
0x442147c80076f9a6bf371b43700cddefdc8137f31923ba98fee6e863ef15cb3d: Very short time between transactions
0x45a1f01f43f8260b3354c9ab3e9d28fa23fed8a0f25673026eade8e092da13e8: Very short time between transactions
0xb17ab9c663735db34812e294603442b49beef510959aaff51892c9601d79689f: Transaction amount halved compared to previous transaction
0x7169fbc8373679f0af383862032032126a145afa786aa1de2535d7e21420bd94: Transaction amount doubled compared to previous transaction
0xfab46bafa844233becea2b6114da19c57607f1a2c5d177e78f89f7f38ad6706b: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x0d8dec8c03a6cd4045ab668a73ea646eabfcc1967513ffe31069d926dfa80563: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x4c5ae1061e9df176cd15b1912c333a73baed1e647a44488e8d484518502164a8: Transaction amount doubled compared to previous transaction
0x45a1f01f43f8260b3354c9ab3e9d28fa23fed8a0f25673026eade8e092da13e8: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0xd372b23bd1ab5d8a4449500b4f1d2a9d7a3d2233b90e4c5bf681c08df387b8a2: High frequency transactions (less than 1 minute interval)
0x870882e3218a1be40cda131d2c7a5267c6fde8b28b916aff290c6b4d1af096a1: High frequency transactions (less than 1 minute interval)
0x48360a951179efb8a719969b85537f8077921ddfd3dedd0206012be92fff5b1d: High frequency transactions (less than 1 minute interval)
0xb0744a1536786cef1f39db9ca033ae984542d5ebd8d17f3006af97baae998e9f: High frequency transactions (less than 1 minute interval)
0xcc7b4dc6124fb38bc8fc35196ed9d994bb4544dc28a44590eeb83df18b27103d: High frequency transactions (less than 1 minute interval)
0xab400b3d55413863e345c10fe65f3dccd3a41088f3ef5916475d3e13f284c6e2: High frequency transactions (less than 1 minute interval)
0x101759a49217e43eecadfbf2b9e7605550dd5151bd433f38d1d8e9d4724bfc0c: High frequency transactions (less than 1 minute interval)
0x4c960ca817bc3c976d85f03ba4a5d077a28f3537ae0ec6ab3e7b153d3c404477: High frequency transactions (less than 1 minute interval)
0xa3d2112256369c3eeea4be2a041052253d92464f9a1c46a1dd854bac203b3504: High frequency transactions (less than 1 minute interval)
0xb17ab9c663735db34812e294603442b49beef510959aaff51892c9601d79689f: High frequency transactions (less than 1 minute interval)
0x7169fbc8373679f0af383862032032126a145afa786aa1de2535d7e21420bd94: High frequency transactions (less than 1 minute interval)
0xfab46bafa844233becea2b6114da19c57607f1a2c5d177e78f89f7f38ad6706b: High frequency transactions (less than 1 minute interval)
0xce6c94b3b04f82a2e03ec2e9a85df49c8c1076bbb66debce298ff8caaddc105e: High frequency transactions (less than 1 minute interval)
0x5ddc0b14df449dcbf4647ee72140dd279d5a9c4e1bf17ec8206490e459df9b59: High frequency transactions (less than 1 minute interval)
0x0d8dec8c03a6cd4045ab668a73ea646eabfcc1967513ffe31069d926dfa80563: High frequency transactions (less than 1 minute interval)
0x6931778a5e5d9a466f8d5ebbcc813370324c67e9494aa938ce2b349fb16a1d35: High frequency transactions (less than 1 minute interval)
0xbe4dc86b8accf6228c1c50ca8a48c225fdd0e05b2c0ade6fb129e08ed1048327: High frequency transactions (less than 1 minute interval)
0x4c5ae1061e9df176cd15b1912c333a73baed1e647a44488e8d484518502164a8: High frequency transactions (less than 1 minute interval)
0x442147c80076f9a6bf371b43700cddefdc8137f31923ba98fee6e863ef15cb3d: High frequency transactions (less than 1 minute interval)
0x45a1f01f43f8260b3354c9ab3e9d28fa23fed8a0f25673026eade8e092da13e8: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
21
Average Risk Score
44.9
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xd372b23…
|
63
High
|
Anomaly detected by Isolation Forest
Round amount consistent with mixer
Standard mixer amount detected
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x870882e…
|
53
High
|
Short time frame between transactions
Transaction amount significantly higher than average
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
|
0x48360a9…
|
44
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
|
No tags
|
0xb0744a1…
|
66
High
|
Related to 11 high-risk transactions (highest score: 85)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Round amount consistent with mixer
Address became active after a long inactive period
Standard mixer amount detected
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xcc7b4dc…
|
57
High
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xab400b3…
|
66
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
|
No tags
|
0x4c960ca…
|
76
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Round amount consistent with mixer
Standard mixer amount detected
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x6633b40…
|
28
Medium
|
Short time frame between transactions
Related to 3 high-risk transactions (highest score: 100)
Multiple round number transactions
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xb17ab9c…
|
35
Medium
|
Short time frame between transactions
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xce6c94b…
|
35
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
Related to 7 high-risk transactions (highest score: 100)
|
No tags
|
0x5ddc0b1…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 2 high-risk transactions (highest score: 81)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x0d8dec8…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x7169fbc…
|
43
High
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Related to 7 high-risk transactions (highest score: 92)
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x6931778…
|
35
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
Related to 7 high-risk transactions (highest score: 100)
|
No tags
|
0xbe4dc86…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 2 high-risk transactions (highest score: 81)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xfab46ba…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x4c5ae10…
|
26
Medium
|
Short time frame between transactions
Related to high-risk transaction ['0x552075704333ace11b3d9bfb6f7145581cf1dee171c3270e359268aa39bd87b6'] (score: 81)
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x442147c…
|
34
Medium
|
Related to high-risk transaction ['0x552075704333ace11b3d9bfb6f7145581cf1dee171c3270e359268aa39bd87b6'] (score: 81)
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x45a1f01…
|
100
High
|
Related to 44 high-risk transactions (highest score: 100)
Sends funds to exploit address: 0x4c198b...
Transaction involves DeFi exploit address: Bybit Exploiter 37
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xa3d2112…
|
51
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Standard mixer amount detected
Very short time between transactions
|
No tags
|
0x101759a…
|
47
High
|
Transaction amount significantly higher than average
Related to 11 high-risk transactions (highest score: 85)
Round amount consistent with mixer
Standard mixer amount detected
Transaction amount doubled compared to previous transaction
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: 19
Medium Risk Activities: 0
Total Flagged Transactions: 21
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 0x7512502c6baf67cc03f37e171a9b9395880bbeb7:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 43.57
- Total Suspicious Patterns: 21
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 07:30:12 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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