Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x3d70...9999
Published
14 Jul 2025
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Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x3d70...9999
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Overview
Project Scope
Analysis of wallet 0x3d70338960e4073bc6901545bfb815a4c9999999 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0x3d70338960e4073bc6901545bfb815a4c9999999
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0x3d70338960e4073bc6901545bfb815a4c9999999
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 12 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 0x3d70338960e4073bc6901545bfb815a4c9999999
1. Blockchain Data Retrieval
- Retrieved 12 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 0x3d70338960e4073bc6901545bfb815a4c9999999
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 46 Suspicious Transactions: 12
Key Findings: - Automated analysis detected 12 suspicious transactions - Risk assessment indicates very high risk level - 46 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.
0x2e994c9a7b4427d4a77533ed0e908bfe99ea8fbceaa0c21c2498d0ff54381afe: Very short time between transactions
0x54d5dfe58bd22eece689547126fdc1e1fffbce48755e4eca7242c452b3363e14: Very short time between transactions
0x772d5b1374eff77ff04f2dae9083b8d19a440ec5d55b870aeb8fe76723611721: Very short time between transactions
0xcb3006573fff37149593154166d199c797e91429a88b2c630295bccf51ec4ad7: Very short time between transactions
0x4e5c6bb40a3a90abdd18aa101946c743c4e9bd189e7ad9043959a5522ef84f56: Very short time between transactions
0xad69a785d9e0d8e7c8ecf2aac7196fe0b9847ce51751a81cefb0442df7461cba: Very short time between transactions
0x27fc4c10acc1246b2f1932c3156f1af05259a7db05d7adb6833dfd99f3e112b0: Very short time between transactions
0x63e4dfc093bebfc3e7c01fba5b055d47f429ed06843145c08ddb0f6a2c991195: Very short time between transactions
0xdeab0a3aa2b110f6f565b5ee4a38416c868dd8052f05980b5ebebfb554fb0289: Very short time between transactions
0x2cb3d380b95a25a264262817bc194d122a2dd17b816b60ee029356cfb016a58d: Very short time between transactions
0x2e994c9a7b4427d4a77533ed0e908bfe99ea8fbceaa0c21c2498d0ff54381afe: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x772d5b1374eff77ff04f2dae9083b8d19a440ec5d55b870aeb8fe76723611721: Transaction amount doubled compared to previous transaction
0xad69a785d9e0d8e7c8ecf2aac7196fe0b9847ce51751a81cefb0442df7461cba: Transaction amount halved compared to previous transaction
0xdeab0a3aa2b110f6f565b5ee4a38416c868dd8052f05980b5ebebfb554fb0289: Transaction amount doubled compared to previous transaction
0x9ec2136201a89d5331efed082a37752bc7e41d350ba13dec314671cb982e6398: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x2e994c9a7b4427d4a77533ed0e908bfe99ea8fbceaa0c21c2498d0ff54381afe: High frequency transactions (less than 1 minute interval)
0x54d5dfe58bd22eece689547126fdc1e1fffbce48755e4eca7242c452b3363e14: High frequency transactions (less than 1 minute interval)
0x772d5b1374eff77ff04f2dae9083b8d19a440ec5d55b870aeb8fe76723611721: High frequency transactions (less than 1 minute interval)
0xcb3006573fff37149593154166d199c797e91429a88b2c630295bccf51ec4ad7: High frequency transactions (less than 1 minute interval)
0x4e5c6bb40a3a90abdd18aa101946c743c4e9bd189e7ad9043959a5522ef84f56: High frequency transactions (less than 1 minute interval)
0xad69a785d9e0d8e7c8ecf2aac7196fe0b9847ce51751a81cefb0442df7461cba: High frequency transactions (less than 1 minute interval)
0x27fc4c10acc1246b2f1932c3156f1af05259a7db05d7adb6833dfd99f3e112b0: High frequency transactions (less than 1 minute interval)
0x63e4dfc093bebfc3e7c01fba5b055d47f429ed06843145c08ddb0f6a2c991195: High frequency transactions (less than 1 minute interval)
0xdeab0a3aa2b110f6f565b5ee4a38416c868dd8052f05980b5ebebfb554fb0289: High frequency transactions (less than 1 minute interval)
0x2cb3d380b95a25a264262817bc194d122a2dd17b816b60ee029356cfb016a58d: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
12
Average Risk Score
40.5
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xbbc3ecf…
|
47
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Related to 2 high-risk transactions (highest score: 82)
|
No tags
|
0x9ec2136…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x2cb3d38…
|
28
Medium
|
Short time frame between transactions
Related to 6 high-risk transactions (highest score: 80)
Multiple round number transactions
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x2e994c9…
|
100
High
|
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Very short time between transactions
Transaction amount significantly lower than average
Related to 51 high-risk transactions (highest score: 100)
Transaction amount halved compared to previous transaction
|
No tags
|
0x54d5dfe…
|
49
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x772d5b1…
|
53
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0xcb30065…
|
25
Medium
|
Local Outlier Factor (LOF) detected as anomaly
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
|
No tags
|
0x4e5c6bb…
|
32
Medium
|
Anomaly detected by Isolation Forest
Low transaction fee
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
|
No tags
|
0xad69a78…
|
26
Medium
|
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Related to high-risk transaction ['0x0dfa6f0491000c8f2108e2385be46626cde523558f144838ffd7effa678f320e'] (score: 89)
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x27fc4c1…
|
53
High
|
Short time frame between transactions
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Very short time between transactions
|
No tags
|
0x63e4dfc…
|
39
Medium
|
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Address became active after a long inactive period
Part of cyclic transaction pattern: Part of cycle of length 4
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xdeab0a3…
|
40
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Related to 3 high-risk transactions (highest score: 82)
Low transaction fee
Address became active after a long inactive period
Transaction amount doubled compared to previous transaction
|
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: 11
Medium Risk Activities: 0
Total Flagged Transactions: 12
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 0x3d70338960e4073bc6901545bfb815a4c9999999:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 41.00
- Total Suspicious Patterns: 12
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 02:18:24 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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