Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xd2be...eb0c
Published
15 Jul 2025
10 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xd2be...eb0c
Overview
Project Scope
Analysis of wallet 0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c
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 0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c
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 0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c
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.
0x01cf37f95eb951efc3abdd7615559fb8d040b9d87d1592acc55399d62ebb40b5: Very short time between transactions
0x6883131b3edcc4ffc88b4143b3dda042ce59b7cc2600847dc4388463cb44e2b4: Very short time between transactions
0xb57d1371fdbe71bf6d283f7d206f67149df06958208a25552c320109563c9a95: Very short time between transactions
0x8f3ea451ddd5f780a004ccbe4dd9522d254fdd293029ea27f281cd56ce9d030d: Very short time between transactions
0x1492f6a684345375765c6e98f9abe0da77407e35bdebddbce94283d48933d760: Very short time between transactions
0xafae419b3402d3fbb104d4c1c2c1f4554a6023e0f6b6cb8817af9e843a3fd94e: Very short time between transactions
0xd1338932e8e4b6e047ccc5ffc6b0f57e3c99d82caf27f988f5a43f06684251f7: Very short time between transactions
0xa798b6b1b557d657a10e0b928154091fa5196b4eccf9f0b5e0724ba3bbc2cb1c: Very short time between transactions
0x60fa448e264b1a946238ddb53cc32aed70c8e1df04067a919092c6603d366536: Very short time between transactions
0x8d730e7e06c581ba0b1099066e37f6984ae504aac6f2687829d662d08012d84c: Very short time between transactions
0x182327572b4503297cc5f8531ca9456fdb048e46a110d470e5aec509209dba9e: Very short time between transactions
0x5768934168b8cddfc5de4a12dbb899be199c1980907679fc5a7be606654cf0f8: Very short time between transactions
0x4d9584afbf065d68b609106072ac78a72784a0f4f4ab1a3cc0561f1ee5e1a621: Very short time between transactions
0x7ee724c1c698902c41bd4aeeba0d99b692d400c4622034d1f0c67ca78cf28bfd: Very short time between transactions
0xa34134293d75485f25487664cb0fe55168800d0a26e5f095f646e7226190ce1f: Very short time between transactions
0xd030c2ad6e36889d1d5db9f6916bb509937178665778a61e5a8b630a73cb4a90: Very short time between transactions
0x82b520b553a192d03e75b63b414922c65af3d22f194ad66bb7a9943146101135: Very short time between transactions
0x01cf37f95eb951efc3abdd7615559fb8d040b9d87d1592acc55399d62ebb40b5: Transaction amount doubled compared to previous transaction
0x1492f6a684345375765c6e98f9abe0da77407e35bdebddbce94283d48933d760: Transaction amount halved compared to previous transaction
0xd1338932e8e4b6e047ccc5ffc6b0f57e3c99d82caf27f988f5a43f06684251f7: Transaction amount halved compared to previous transaction
0x01cf37f95eb951efc3abdd7615559fb8d040b9d87d1592acc55399d62ebb40b5: High frequency transactions (less than 1 minute interval)
0x6883131b3edcc4ffc88b4143b3dda042ce59b7cc2600847dc4388463cb44e2b4: High frequency transactions (less than 1 minute interval)
0xb57d1371fdbe71bf6d283f7d206f67149df06958208a25552c320109563c9a95: High frequency transactions (less than 1 minute interval)
0x8f3ea451ddd5f780a004ccbe4dd9522d254fdd293029ea27f281cd56ce9d030d: High frequency transactions (less than 1 minute interval)
0x1492f6a684345375765c6e98f9abe0da77407e35bdebddbce94283d48933d760: High frequency transactions (less than 1 minute interval)
0xafae419b3402d3fbb104d4c1c2c1f4554a6023e0f6b6cb8817af9e843a3fd94e: High frequency transactions (less than 1 minute interval)
0xd1338932e8e4b6e047ccc5ffc6b0f57e3c99d82caf27f988f5a43f06684251f7: High frequency transactions (less than 1 minute interval)
0xa798b6b1b557d657a10e0b928154091fa5196b4eccf9f0b5e0724ba3bbc2cb1c: High frequency transactions (less than 1 minute interval)
0x60fa448e264b1a946238ddb53cc32aed70c8e1df04067a919092c6603d366536: High frequency transactions (less than 1 minute interval)
0x8d730e7e06c581ba0b1099066e37f6984ae504aac6f2687829d662d08012d84c: High frequency transactions (less than 1 minute interval)
0x182327572b4503297cc5f8531ca9456fdb048e46a110d470e5aec509209dba9e: High frequency transactions (less than 1 minute interval)
0x5768934168b8cddfc5de4a12dbb899be199c1980907679fc5a7be606654cf0f8: High frequency transactions (less than 1 minute interval)
0x4d9584afbf065d68b609106072ac78a72784a0f4f4ab1a3cc0561f1ee5e1a621: High frequency transactions (less than 1 minute interval)
0x7ee724c1c698902c41bd4aeeba0d99b692d400c4622034d1f0c67ca78cf28bfd: High frequency transactions (less than 1 minute interval)
0xa34134293d75485f25487664cb0fe55168800d0a26e5f095f646e7226190ce1f: High frequency transactions (less than 1 minute interval)
0xd030c2ad6e36889d1d5db9f6916bb509937178665778a61e5a8b630a73cb4a90: High frequency transactions (less than 1 minute interval)
0x82b520b553a192d03e75b63b414922c65af3d22f194ad66bb7a9943146101135: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0x6883131…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Related to 172 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0x96244d...
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 32
|
0xafae419…
|
53
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0xd133893…
|
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
|
0x60fa448…
|
44
High
|
Repetitive transaction amount
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
|
0x8d730e7…
|
44
High
|
Repetitive transaction amount
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
|
0xd030c2a…
|
42
High
|
Repetitive transaction amount
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
|
0xa341342…
|
29
Medium
|
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
Transaction amount halved compared to previous transaction
|
0x82b520b…
|
43
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Low transaction fee
|
0xb57d137…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x1823275…
|
50
High
|
Rapid accumulation of large transactions
Outgoing structuring detected: 3 similar amounts totaling 186.81
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0x01cf37f…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Related to 172 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0x96244d...
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 32
|
0x8f3ea45…
|
50
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
0x5768934…
|
60
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Outgoing structuring detected: 3 similar amounts totaling 186.81
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
0x7ee724c…
|
62
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Outgoing structuring detected: 3 similar amounts totaling 186.81
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
0xc57f7cb…
|
30
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
0x1492f6a…
|
30
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
0xa798b6b…
|
44
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
|
0x4d9584a…
|
38
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
|
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: 18
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 0xd2becd2b411c0478fa0ba1bbe8aa99b371f6eb0c:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 50.67
- 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 20:29:06 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
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