Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x33ca...9f45
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x33ca...9f45
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Overview
Project Scope
Analysis of wallet 0x33ca769c63315099a04d9f2147581b5ffad79f45 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x33ca769c63315099a04d9f2147581b5ffad79f45
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x33ca769c63315099a04d9f2147581b5ffad79f45
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 19 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 0x33ca769c63315099a04d9f2147581b5ffad79f45
1. Blockchain Data Retrieval
- Retrieved 19 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 0x33ca769c63315099a04d9f2147581b5ffad79f45
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 72 Suspicious Transactions: 19
Key Findings: - Automated analysis detected 19 suspicious transactions - Risk assessment indicates very high risk level - 72 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.
0x10e82dd1ddec04260c2f8fe8efde961afecc26bcc872312e70c1cdf486b04c13: Very short time between transactions
0x057da1401d3886874fc5e53142934fbcf9eaa16caccea3eba6c42b12b97e9eea: Very short time between transactions
0x1abd69244fa2fb9d6e4af7b88ff0fc24165855d3cfdf3c1300b235e146f639a2: Very short time between transactions
0xb832930965f5b013ea3a4cad9766156a4f1b29cf62c22654de02bcdd8dd50692: Very short time between transactions
0x592b1e66c85f683bf4137b29cca24bbdc972a89f868788ba5ef8a6fa4070abeb: Very short time between transactions
0xa43101651d523f152f57d317c7be74f020bac916c734ce570f16a4e295e2df4f: Very short time between transactions
0x29f04d9964b22bc6844cffc7ea306364b761c422adb393a5aaa4b54e61a5116a: Very short time between transactions
0x81d886d42c003242b91c3dd58b04d9c3482e5c2ccd0a4adde0d46a4a5fffc63d: Very short time between transactions
0x6918928e334911fc4974b6f34b99e8d9a1e099500a6483fc0d0eb3a03e6941a9: Very short time between transactions
0x1694785d382e66ebed9e10ec87267f5290e3dfefc69c7e5d18da9bb90610623d: Very short time between transactions
0x0c11841f32599da66419468fdb47eb1b91670c89aa23be1fb0c34534764bcca5: Very short time between transactions
0x6461116c4ada8e8c91aae761f6e0f6444b7daf04f7602a5c4b6d21d8c96a2ae0: Very short time between transactions
0x8bec481142d594d6639e3d58e92c59bc789bcc4eb0ddc3b235b2368862650ea3: Very short time between transactions
0x0530a17a80c334b6e771d502bdeaeadf8a33b9ecca6a418cc9179cc933effb1e: Very short time between transactions
0x2e71e314719ae42df6443b2732f515025ceeb1ba6c937d4e72d6a4e81f115b71: Very short time between transactions
0xd256165fb689dd0db2d8a03f8d7e2aadc1301854ec5720f50756bd5f391753c8: Very short time between transactions
0xc2882aabe4eb2e2112583f8020980c83121883c685cb44d821d881e27665280f: Transaction amount doubled compared to previous transaction
0xd256165fb689dd0db2d8a03f8d7e2aadc1301854ec5720f50756bd5f391753c8: Transaction amount halved compared to previous transaction
0x10e82dd1ddec04260c2f8fe8efde961afecc26bcc872312e70c1cdf486b04c13: High frequency transactions (less than 1 minute interval)
0x057da1401d3886874fc5e53142934fbcf9eaa16caccea3eba6c42b12b97e9eea: High frequency transactions (less than 1 minute interval)
0x1abd69244fa2fb9d6e4af7b88ff0fc24165855d3cfdf3c1300b235e146f639a2: High frequency transactions (less than 1 minute interval)
0xb832930965f5b013ea3a4cad9766156a4f1b29cf62c22654de02bcdd8dd50692: High frequency transactions (less than 1 minute interval)
0x592b1e66c85f683bf4137b29cca24bbdc972a89f868788ba5ef8a6fa4070abeb: High frequency transactions (less than 1 minute interval)
0xa43101651d523f152f57d317c7be74f020bac916c734ce570f16a4e295e2df4f: High frequency transactions (less than 1 minute interval)
0x29f04d9964b22bc6844cffc7ea306364b761c422adb393a5aaa4b54e61a5116a: High frequency transactions (less than 1 minute interval)
0x81d886d42c003242b91c3dd58b04d9c3482e5c2ccd0a4adde0d46a4a5fffc63d: High frequency transactions (less than 1 minute interval)
0x6918928e334911fc4974b6f34b99e8d9a1e099500a6483fc0d0eb3a03e6941a9: High frequency transactions (less than 1 minute interval)
0x1694785d382e66ebed9e10ec87267f5290e3dfefc69c7e5d18da9bb90610623d: High frequency transactions (less than 1 minute interval)
0x0c11841f32599da66419468fdb47eb1b91670c89aa23be1fb0c34534764bcca5: High frequency transactions (less than 1 minute interval)
0x6461116c4ada8e8c91aae761f6e0f6444b7daf04f7602a5c4b6d21d8c96a2ae0: High frequency transactions (less than 1 minute interval)
0x8bec481142d594d6639e3d58e92c59bc789bcc4eb0ddc3b235b2368862650ea3: High frequency transactions (less than 1 minute interval)
0x0530a17a80c334b6e771d502bdeaeadf8a33b9ecca6a418cc9179cc933effb1e: High frequency transactions (less than 1 minute interval)
0xd256165fb689dd0db2d8a03f8d7e2aadc1301854ec5720f50756bd5f391753c8: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
19
Average Risk Score
66.53
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x057da14…
|
56
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
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
|
0x1abd692…
|
92
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Round amount consistent with mixer
Part of coordinated wallet cluster
Low transaction fee
Standard mixer amount detected
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
Transaction amount significantly lower than average
Very short time between transactions
|
No tags
|
0xb832930…
|
44
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x2e71e31…
|
100
High
|
Related to 10 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 37
Receives funds from exploit address: 0x4c198b...
Rapid accumulation of large transactions
|
No tags
|
0xc2882aa…
|
100
High
|
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 36
Large transaction amount
Low transaction fee
Related to 11 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0x9271ed...
|
No tags
|
0x0c11841…
|
100
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Receives funds from exploit address: 0x9271ed...
Anomaly detected by Isolation Forest
Transaction involves DeFi exploit address: Bybit Exploiter 36
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Related to 11 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
|
No tags
|
0x8bec481…
|
56
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
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
|
0xcc33baa…
|
100
High
|
Related to 16 high-risk transactions (highest score: 100)
Large transaction amount
Receives funds from exploit address: 0xbc3e5e...
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 35
|
No tags
|
0x8329507…
|
43
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Very short time between transactions
|
No tags
|
0x10e82dd…
|
100
High
|
Transaction amount significantly higher than average
Related to 10 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 37
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x4c198b...
Rapid accumulation of large transactions
|
No tags
|
0x592b1e6…
|
55
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xa431016…
|
53
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x29f04d9…
|
64
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Standard mixer amount detected
Part of cyclic transaction pattern: Part of cycle of length 4
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x81d886d…
|
81
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Round amount consistent with mixer
Low transaction fee
Standard mixer amount detected
Rapid accumulation of large transactions
Transaction amount significantly lower than average
Very short time between transactions
|
No tags
|
0x6918928…
|
100
High
|
Short time frame between transactions
Rapid accumulation of large transactions
Related to 10 high-risk transactions (highest score: 100)
Large transaction amount
Low transaction fee
Transaction involves DeFi exploit address: Bybit Exploiter 37
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x4c198b...
Very short time between transactions
|
No tags
|
0xd256165…
|
37
Medium
|
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Very short time between transactions
|
No tags
|
0x1694785…
|
50
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x6461116…
|
54
High
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
High frequency transactions (less than 1 minute interval)
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
|
No tags
|
0x0530a17…
|
57
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
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: 19
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 0x33ca769c63315099a04d9f2147581b5ffad79f45:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 70.63
- Total Suspicious Patterns: 19
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 01:28:25 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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