Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xe53d...3e8b
Published
15 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xe53d...3e8b
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b
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 0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b
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 0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 69 Suspicious Transactions: 18
Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 69 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.
0xdb0787c867acebf8ad4605e6aadfeece3c781ee3539d94fa09743bbf1c447c5e: Very short time between transactions
0x94068111abf7efce5edbf596d56a93b2ac9f1821833be866255519e4c28c4ede: Very short time between transactions
0x44c31b2f59fb7ba7f2771d6bf33e7df56f11d4ab83a3f998d17cbef5620e76f3: Very short time between transactions
0xbe5c2f8b6e8b7b4a90cbe15e42785a8cf7f732e9c28b1ced0eff9197c9b8b0ed: Very short time between transactions
0x1ec3aefe1a92d58f025327c44a894c37348271bfebe45f34474696c31d09dcff: Very short time between transactions
0x46719d27adf459b4598a26322f17ac3135058de43862b4c6456d82e279844c12: Very short time between transactions
0x5caf81ae4314a8cd9996ba7d68e7fa4e5227f7564cc4a207ce441693f6e73abd: Very short time between transactions
0x8841fb0e6686a7f08c392e56f7840f1a7dce0e7658ad5805b768723e88139ea7: Very short time between transactions
0xf8fe51eeb5e77364c6933d9e76df9fcbe86ee5e5ab9d563ee625171379b3f86e: Very short time between transactions
0xae1dade561ecaf3dbca8dc5943f861aafe85b15aafa90be98746a3171d8aa484: Very short time between transactions
0x03856a63b38c1be0c87b884cff64a152af0c4018b7161a1f82249b24b058c663: Very short time between transactions
0xf37ee7413dfa2f87fdc958007bfd1c4daf68a44311fc706b55b467898881dab4: Very short time between transactions
0xe30482c044f1af193d8722b6560b77b4d72885688e071c36cc8029d1d3dd1d41: Very short time between transactions
0x316328b24c96f36ffcfb65e4a24ced6cd6196bc74b45062b64f0c0ae0ca80457: Very short time between transactions
0x3f8bde48e447fbe43eace12ed4199cedb7066226aff7ab94eeae8897256c7cf3: Very short time between transactions
0x9871bb887deb4a50b5be4a5947d6d64bcf88a6f52bff627a8edf821cf2ba2c3b: Very short time between transactions
0x8ab65e6ad367b60d0ca0bb42828474dc360b2b85fa3884e25d7f026f057cae99: Very short time between transactions
0xdb0787c867acebf8ad4605e6aadfeece3c781ee3539d94fa09743bbf1c447c5e: Transaction amount halved compared to previous transaction
0x44c31b2f59fb7ba7f2771d6bf33e7df56f11d4ab83a3f998d17cbef5620e76f3: Transaction amount doubled compared to previous transaction
0x9871bb887deb4a50b5be4a5947d6d64bcf88a6f52bff627a8edf821cf2ba2c3b: Transaction amount halved compared to previous transaction
0x8ab65e6ad367b60d0ca0bb42828474dc360b2b85fa3884e25d7f026f057cae99: Transaction amount halved compared to previous transaction
0xdb0787c867acebf8ad4605e6aadfeece3c781ee3539d94fa09743bbf1c447c5e: High frequency transactions (less than 1 minute interval)
0x44c31b2f59fb7ba7f2771d6bf33e7df56f11d4ab83a3f998d17cbef5620e76f3: High frequency transactions (less than 1 minute interval)
0x46719d27adf459b4598a26322f17ac3135058de43862b4c6456d82e279844c12: High frequency transactions (less than 1 minute interval)
0x5caf81ae4314a8cd9996ba7d68e7fa4e5227f7564cc4a207ce441693f6e73abd: High frequency transactions (less than 1 minute interval)
0x8841fb0e6686a7f08c392e56f7840f1a7dce0e7658ad5805b768723e88139ea7: High frequency transactions (less than 1 minute interval)
0xf8fe51eeb5e77364c6933d9e76df9fcbe86ee5e5ab9d563ee625171379b3f86e: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval)
0xae1dade561ecaf3dbca8dc5943f861aafe85b15aafa90be98746a3171d8aa484: High frequency transactions (less than 1 minute interval)
0x03856a63b38c1be0c87b884cff64a152af0c4018b7161a1f82249b24b058c663: High frequency transactions (less than 1 minute interval)
0xf37ee7413dfa2f87fdc958007bfd1c4daf68a44311fc706b55b467898881dab4: High frequency transactions (less than 1 minute interval)
0xe30482c044f1af193d8722b6560b77b4d72885688e071c36cc8029d1d3dd1d41: High frequency transactions (less than 1 minute interval)
0x316328b24c96f36ffcfb65e4a24ced6cd6196bc74b45062b64f0c0ae0ca80457: High frequency transactions (less than 1 minute interval)
0x3f8bde48e447fbe43eace12ed4199cedb7066226aff7ab94eeae8897256c7cf3: High frequency transactions (less than 1 minute interval)
0x9871bb887deb4a50b5be4a5947d6d64bcf88a6f52bff627a8edf821cf2ba2c3b: High frequency transactions (less than 1 minute interval)
0xec04d945d08b3811ce0dde27aed0d40d552fc9c3aa80ddca9cdabe2af8d41e99: Regular interval transactions between the same wallets
0x8ab65e6ad367b60d0ca0bb42828474dc360b2b85fa3884e25d7f026f057cae99: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x9406811…
|
100
High
|
Low transaction fee
Large transaction amount
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Related to 110 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0xcd1a4a...
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
|
No tags
|
0x1ec3aef…
|
48
High
|
Low transaction fee
Large transaction amount
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Part of cyclic transaction pattern: Part of cycle of length 4
Related to 2 high-risk transactions (highest score: 77)
|
No tags
|
0x8ab65e6…
|
45
High
|
Large transaction amount
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Related to 2 high-risk transactions (highest score: 77)
|
No tags
|
0xdb0787c…
|
48
High
|
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 4 high-risk transactions (highest score: 100)
|
No tags
|
0x5caf81a…
|
29
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 0.00
|
No tags
|
0x03856a6…
|
30
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xe30482c…
|
27
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0xbe5c2f8…
|
51
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Related to 5 high-risk transactions (highest score: 85)
|
No tags
|
0x46719d2…
|
44
High
|
Low transaction fee
Large transaction amount
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
High frequency transactions (less than 1 minute interval)
Related to 5 high-risk transactions (highest score: 85)
|
No tags
|
0xf8fe51e…
|
46
High
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Rapid multi-hop layering pattern detected
|
No tags
|
0x8841fb0…
|
53
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Related to 2 high-risk transactions (highest score: 77)
|
No tags
|
0x44c31b2…
|
100
High
|
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 31
Anomaly detected by Isolation Forest
Related to 110 high-risk transactions (highest score: 100)
Very short time between transactions
Receives funds from exploit address: 0xcd1a4a...
Transaction amount significantly higher than average
|
No tags
|
0xae1dade…
|
46
High
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
Rapid multi-hop layering pattern detected
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x3f8bde4…
|
54
High
|
Low transaction fee
Large transaction amount
Rapid accumulation of large transactions
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Part of cyclic transaction pattern: Part of cycle of length 4
Related to 2 high-risk transactions (highest score: 77)
|
No tags
|
0x9871bb8…
|
44
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
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
|
No tags
|
0x316328b…
|
100
High
|
Related to 122 high-risk transactions (highest score: 100)
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
Transaction involves DeFi exploit address: Bybit Exploiter 25
Rapid accumulation of large transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Receives funds from exploit address: 0x1eb27f...
|
No tags
|
0xf37ee74…
|
28
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Very short time between transactions
Outgoing structuring detected: 3 similar amounts totaling 0.00
|
No tags
|
0xec04d94…
|
29
Medium
|
Low transaction fee
Transaction amount significantly lower than average
Short time frame between transactions
Very short time between transactions
Transaction amount halved compared to previous transaction
Outgoing structuring detected: 3 similar amounts totaling 0.00
|
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: 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 0xe53d248e4e4da2f58d05708a31dbb1ec27703e8b:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 51.22
- 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 23:13:48 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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