Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xff22...ec58
Published
16 Jul 2025
9 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xff22...ec58
Overview
Project Scope
Analysis of wallet 0xff22f9e252d51b11caa9ccd17325fb75297bec58 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xff22f9e252d51b11caa9ccd17325fb75297bec58
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xff22f9e252d51b11caa9ccd17325fb75297bec58
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 0xff22f9e252d51b11caa9ccd17325fb75297bec58
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 0xff22f9e252d51b11caa9ccd17325fb75297bec58
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 59 Suspicious Transactions: 16
Key Findings: - Automated analysis detected 16 suspicious transactions - Risk assessment indicates very high risk level - 59 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.
0xc1d846273f206406bf3652a832bcda96096ee773e8794ce107d35489afb43311: Very short time between transactions
0x37a3ffc0690f55a91f161034231f7fc981e9c4c3eec1d9b8329d3eefb95b60a5: Very short time between transactions
0x4e69a6a784d998683a92c32ef047f1df97c1a700a2bc01fc61bf28e8a8f9b0ce: Very short time between transactions
0xe1f745061867aee229cb5db67a32ea25b072c46e2fa188f233e753f7747fcc4b: Very short time between transactions
0xf605aa885214cdb0f39ad322b18e93c10370b091dab7614f73adf55044d8d1ad: Very short time between transactions
0xf72c27cc54d1017212d9db2baa86690e16036600b535bf3b7034efd08a9f705c: Very short time between transactions
0xae5b8563b5647fd307bffa1d3be56fb28b711d55c44f435dc34c9c6016f0e8c8: Very short time between transactions
0x744fed7768bd171960330b24a34d7cf59bf9a040ed4a9be0071d85b9dcc62465: Very short time between transactions
0xd0e6f54e96055501c48bc550373ab1d8cddb10aaf761c4dab6bcf7f45f95f1fe: Very short time between transactions
0xc3a00f805e67cd39bccdf50805beebfb469e0a9357f1075a66c51fc259dd4a58: Very short time between transactions
0x179a0ae43cbc178819637cf4b40a35fc1e30b64be35bcde5e6401dfbe567e4b1: Very short time between transactions
0x67e23befd76a8a07690253e604636a504a6ef15443f3f291ca2f7e55d9db4582: Very short time between transactions
0x35b3d6c5de86df5f693e26013a35c8db1b7af563bfb5e6ddaebfb6076984eb6d: Very short time between transactions
0xebeff0fbbe4ad1445dbfc9da9fd5eae1b80f19c5bd4f162678f78e85cd34c1f4: Very short time between transactions
0x433b198619ad91a9531fb1d1cabc1b5324a2bb02ff130dee021c7e7a951a3afe: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0xf72c27cc54d1017212d9db2baa86690e16036600b535bf3b7034efd08a9f705c: Transaction amount doubled compared to previous transaction
0xebeff0fbbe4ad1445dbfc9da9fd5eae1b80f19c5bd4f162678f78e85cd34c1f4: Transaction amount halved compared to previous transaction
0xc1d846273f206406bf3652a832bcda96096ee773e8794ce107d35489afb43311: High frequency transactions (less than 1 minute interval)
0x4e69a6a784d998683a92c32ef047f1df97c1a700a2bc01fc61bf28e8a8f9b0ce: High frequency transactions (less than 1 minute interval)
0xf72c27cc54d1017212d9db2baa86690e16036600b535bf3b7034efd08a9f705c: High frequency transactions (less than 1 minute interval)
0xae5b8563b5647fd307bffa1d3be56fb28b711d55c44f435dc34c9c6016f0e8c8: High frequency transactions (less than 1 minute interval)
0x744fed7768bd171960330b24a34d7cf59bf9a040ed4a9be0071d85b9dcc62465: High frequency transactions (less than 1 minute interval)
0xd0e6f54e96055501c48bc550373ab1d8cddb10aaf761c4dab6bcf7f45f95f1fe: High frequency transactions (less than 1 minute interval)
0xc3a00f805e67cd39bccdf50805beebfb469e0a9357f1075a66c51fc259dd4a58: High frequency transactions (less than 1 minute interval)
0x179a0ae43cbc178819637cf4b40a35fc1e30b64be35bcde5e6401dfbe567e4b1: High frequency transactions (less than 1 minute interval)
0x67e23befd76a8a07690253e604636a504a6ef15443f3f291ca2f7e55d9db4582: High frequency transactions (less than 1 minute interval)
0x35b3d6c5de86df5f693e26013a35c8db1b7af563bfb5e6ddaebfb6076984eb6d: High frequency transactions (less than 1 minute interval)
0xebeff0fbbe4ad1445dbfc9da9fd5eae1b80f19c5bd4f162678f78e85cd34c1f4: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors |
|---|---|---|
0xf605aa8…
|
36
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
0xae5b856…
|
59
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
0xd0e6f54…
|
39
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Multiple round number transactions
|
0xc3a00f8…
|
45
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
Multiple round number transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
0x179a0ae…
|
35
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
0x35b3d6c…
|
32
Medium
|
Low transaction fee
Transaction amount significantly lower than average
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
|
0xebeff0f…
|
39
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
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
|
0x37a3ffc…
|
44
High
|
Low transaction fee
Large transaction amount
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount halved compared to previous transaction
Transaction amount significantly higher than average
|
0xc1d8462…
|
42
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Anomaly detected by Isolation Forest
Related to high-risk transaction ['0xae575afcf05e235a2c8ef0534d46f7feb7a23c7ecbd0f03bed999f82f616cbb7'] (score: 78)
Transaction amount significantly higher than average
|
0xe1f7450…
|
44
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
|
0xf72c27c…
|
47
High
|
Low transaction fee
Transaction amount significantly lower than average
Regular interval transactions between the same wallets
Short time frame between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
|
0x67e23be…
|
33
Medium
|
Low transaction fee
Transaction amount significantly lower than average
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
High frequency transactions (less than 1 minute interval)
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
|
0xa2d4802…
|
44
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
|
0x4e69a6a…
|
39
Medium
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
|
0x744fed7…
|
23
Low
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount halved compared to previous transaction
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
|
0x433b198…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 34
High frequency transactions (less than 1 minute interval)
Related to 242 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Very short time between transactions
Receives funds from exploit address: 0x3a21f4...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
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 0xff22f9e252d51b11caa9ccd17325fb75297bec58:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 43.81
- 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 03:07:06 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 16, 2025
Views
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