Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa92c...23fd
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa92c...23fd
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Overview
Project Scope
Analysis of wallet 0xa92c4b68247d3ba257de51f23ec196ddae8d23fd - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xa92c4b68247d3ba257de51f23ec196ddae8d23fd
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xa92c4b68247d3ba257de51f23ec196ddae8d23fd
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 14 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 0xa92c4b68247d3ba257de51f23ec196ddae8d23fd
1. Blockchain Data Retrieval
- Retrieved 14 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 0xa92c4b68247d3ba257de51f23ec196ddae8d23fd
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 54 Suspicious Transactions: 14
Key Findings: - Automated analysis detected 14 suspicious transactions - Risk assessment indicates very high risk level - 54 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.
0xa977b14eb71af746bd72707e37777f7b1e68aee2e44ad7a25ad169b3cae60328: Very short time between transactions
0x0f55dc3aa2b2299136023d74df01dd45996b6971d873f75bb05222a70180f1d1: Very short time between transactions
0x7e20f28d0282a10740f6231f24628962659167a6f2a5a9f3fd41e5b547708ea3: Very short time between transactions
0xaf50ed3f2384f76f80f93fb1d4d1a1c4041efd8b98020be5053a36606d0c1091: Very short time between transactions
0x82358826f34614f96a12d865126678b9a05df507c603fdca1eb2e1e1c773390c: Very short time between transactions
0x9ab913fec654e7f24acb9ff0a4a65bf91e66f49b7ed70cb398c22ece98079166: Very short time between transactions
0x21d2e1b25230520273a7dd6cad977f0d414a40850c78c40705cfbc3098f73264: Very short time between transactions
0x1450a6ddd73692ee429e1faf083c8e284e894c769b9bfb067f6718170d49adf9: Very short time between transactions
0xdc8a76bc139ce0ab961395dac890d5f5f43d5e14863a22b595fc953a2011e057: Very short time between transactions
0x1d9ac359c43a37357890679ebd74d051e4aee69c8a57ac2f12eca4b2278861f9: Very short time between transactions
0x452c8e37f7aad885f371c8ea32ee0f870919275ece6a20f5082da754c6f2397c: Very short time between transactions
0x9ef47cf47080882cad29e46fc065a9553c7cc60c64dbea22b375e4e5594bc558: Very short time between transactions
0xd2f4791fe14ec0c338aafdc4b39df33b334b9481de6b32f6c8bedea7c8a7d04c: Very short time between transactions
0x7e20f28d0282a10740f6231f24628962659167a6f2a5a9f3fd41e5b547708ea3: Transaction amount halved compared to previous transaction
0xaf50ed3f2384f76f80f93fb1d4d1a1c4041efd8b98020be5053a36606d0c1091: Transaction amount significantly lower than average
0x1450a6ddd73692ee429e1faf083c8e284e894c769b9bfb067f6718170d49adf9: Transaction amount doubled compared to previous transaction
0xd2f4791fe14ec0c338aafdc4b39df33b334b9481de6b32f6c8bedea7c8a7d04c: Transaction amount halved compared to previous transaction
0xa977b14eb71af746bd72707e37777f7b1e68aee2e44ad7a25ad169b3cae60328: High frequency transactions (less than 1 minute interval)
0x7e20f28d0282a10740f6231f24628962659167a6f2a5a9f3fd41e5b547708ea3: High frequency transactions (less than 1 minute interval)
0xaf50ed3f2384f76f80f93fb1d4d1a1c4041efd8b98020be5053a36606d0c1091: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0x82358826f34614f96a12d865126678b9a05df507c603fdca1eb2e1e1c773390c: High frequency transactions (less than 1 minute interval)
0x9ab913fec654e7f24acb9ff0a4a65bf91e66f49b7ed70cb398c22ece98079166: High frequency transactions (less than 1 minute interval)
0x21d2e1b25230520273a7dd6cad977f0d414a40850c78c40705cfbc3098f73264: High frequency transactions (less than 1 minute interval)
0x1450a6ddd73692ee429e1faf083c8e284e894c769b9bfb067f6718170d49adf9: High frequency transactions (less than 1 minute interval)
0xdc8a76bc139ce0ab961395dac890d5f5f43d5e14863a22b595fc953a2011e057: High frequency transactions (less than 1 minute interval)
0x1d9ac359c43a37357890679ebd74d051e4aee69c8a57ac2f12eca4b2278861f9: High frequency transactions (less than 1 minute interval)
0x452c8e37f7aad885f371c8ea32ee0f870919275ece6a20f5082da754c6f2397c: High frequency transactions (less than 1 minute interval)
0x9ef47cf47080882cad29e46fc065a9553c7cc60c64dbea22b375e4e5594bc558: High frequency transactions (less than 1 minute interval)
0xd2f4791fe14ec0c338aafdc4b39df33b334b9481de6b32f6c8bedea7c8a7d04c: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
14
Average Risk Score
51.07
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xa977b14…
|
100
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Receives funds from exploit address: 0x4571bd...
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 54
Low transaction fee
Related to 138 high-risk transactions (highest score: 100)
Very short time between transactions
|
No tags
|
0x7e20f28…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x21d2e1b…
|
73
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 137.80
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 103.80
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0xdc8a76b…
|
44
High
|
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xaf50ed3…
|
25
Medium
|
Short time frame between transactions
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 137.80
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 103.80
|
No tags
|
0x1450a6d…
|
72
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x1d9ac35…
|
34
Medium
|
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0x9ef47cf…
|
55
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xd2f4791…
|
32
Medium
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
|
No tags
|
0xcb4d7f1…
|
38
Medium
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 137.80
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x0f55dc3…
|
49
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x8235882…
|
31
Medium
|
Short time frame between transactions
Large transaction amount
Outgoing structuring detected: 4 similar amounts totaling 137.80
High frequency transactions (less than 1 minute interval)
Low transaction fee
Outgoing structuring detected: 3 similar amounts totaling 103.80
Very short time between transactions
|
No tags
|
0x9ab913f…
|
57
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x452c8e3…
|
55
High
|
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
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: 14
Medium Risk Activities: 0
Total Flagged Transactions: 14
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 0xa92c4b68247d3ba257de51f23ec196ddae8d23fd:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 50.64
- Total Suspicious Patterns: 14
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 12:48:02 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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