Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xc379...494e
Published
15 Jul 2025
6 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xc379...494e
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xc37906a2641c75d5992073cb3afd73d49f80494e - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xc37906a2641c75d5992073cb3afd73d49f80494e
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xc37906a2641c75d5992073cb3afd73d49f80494e
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 32 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 0xc37906a2641c75d5992073cb3afd73d49f80494e
1. Blockchain Data Retrieval
- Retrieved 32 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 0xc37906a2641c75d5992073cb3afd73d49f80494e
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 127 Suspicious Transactions: 32
Key Findings: - Automated analysis detected 32 suspicious transactions - Risk assessment indicates very high risk level - 127 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.
0xa3cbb14cd110e7e222617709a833cd9841594f292e722b7454d46a99cbc37313: Very short time between transactions
0x33f751b71cd34660a0f4ef7f650882067f716be24afc7f8f9ccd29cd50da5c08: Very short time between transactions
0x633f9e069f2176bc5e3ce21d1966a6c9929385418f20ff0cc22aef8953e3de5f: Very short time between transactions
0x5fd2049b3eeae4941f4ce30739fb1b1198becef4a96cdbe16cf36ea123aac0cd: Very short time between transactions
0xbed86bd40892a0d99c14e703e2d0f2e5236c3fa888d5b030b2a943839fdc4ce8: Very short time between transactions
0xe8071cc45bc6344e5dc6d0797f19de47b8d127cb9d0d459534af97060248ead4: Very short time between transactions
0x408c40c8e4ca82e3bb9c8ceb00ff7a0f3d31d2754d2fbe99b4895d110af86084: Very short time between transactions
0x3539442ca02cc1deedad48a93af24711851c653c3b7ea241b4c542419299f0a3: Very short time between transactions
0xe741b9d372f09eea3564585ccab3e3c293d3fe6720c4cd9a1dc536665cb51d2b: Very short time between transactions
0xecf0267b3b0d8b6dd0bf481df594f4fa9fb7224d201b091104ba263f6d313672: Very short time between transactions
0xc9a76d4471594546aaa1dd65aee2773066ccbe09036ed13c4360481d3a76f2e3: Very short time between transactions
0x1f2d10ce8e34328097aa02f53b2714b9b5a4e509730afcbffbfcde9bb55459de: Very short time between transactions
0xf50d437732a688190e276351210ca277eddf0b210c1569569c81711704c0459c: Very short time between transactions
0xc65d5aa7126ba277357417936a6c33b7d2ccc94f9c2c183cabd4f2c9492ddb83: Very short time between transactions
0xf62c9652c1d62594d3fde8cbdc259eb83e5c2709ba4a8b469d299d0459e8c6ad: Very short time between transactions
0xaca7c2f46454ac47c4751f7d158a664036286311227dd669a93c9135768599d0: Very short time between transactions
0x1711c6303ecfad71a60437e849e895202d1da883fa60344606e9f4ff2f0a9677: Very short time between transactions
0xba2265344f502402c4b2b0eadacfc560a732e4393eef0588c00cdaee47688402: Very short time between transactions
0xae5b450ab8c3bfc111deb4b53569ee1c96c01bcac4819c31bc5302fd21b15496: Very short time between transactions
0x38a8ae2e3a7e3ee89bf5b4fb7fd58cab08debe22765dd5cf4324e7ae1c8dc2c1: Very short time between transactions
0x22fbbb911403beb7cd15bd14acc7f47413aa1d74f3a0a2e00068e0e50e9e4bb2: Very short time between transactions
0x27bcf8e95ad34b0a3899730ce30fc10f24802f8dfe42ce81c7f3dd49ab2ea1a5: Very short time between transactions
0x7f8b9a3a101a01182930927a45bc393dc53cf11c14aac56df3ba612752770dd2: Very short time between transactions
0xb515cfff9c583aa82080686209767be1b93ac66bb63f0a773ccd630a1d6db700: Very short time between transactions
0x594f09cba484e050e9fffaa9acd629c3e34e073d97403a9aa8726535aa3a20d7: Very short time between transactions
0xdf7447c7f24c59d1b997b5aef2e0f59a7296b78ce0955370f7ec621edc1a1ea3: Very short time between transactions
0xa5a5e2fbc6108d73824882ca0c9cf25ade4bc6d28e4580eafa9d296fb36a4b57: Very short time between transactions
0x7c3f3d308619857bfa09f9946c9d414b5b797b35b574d6b36eb5206211420760: Very short time between transactions
0xb4a3b634171a84b53c064a7ddeaa2e5776247412cfc157f531468d0df08690bb: Very short time between transactions
0xfe63c5094b2c597cb3378b75d6ef2bd4a562b2fef11d7b5b29cf6c5f6845a0bb: Very short time between transactions
0x9a7f694dd7556df950be775f978770e73b7cd195c42ea70b48c994bd55a92fff: Very short time between transactions
0xa3cbb14cd110e7e222617709a833cd9841594f292e722b7454d46a99cbc37313: Transaction amount doubled compared to previous transaction
0x33f751b71cd34660a0f4ef7f650882067f716be24afc7f8f9ccd29cd50da5c08: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xbed86bd40892a0d99c14e703e2d0f2e5236c3fa888d5b030b2a943839fdc4ce8: Transaction amount doubled compared to previous transaction
0xf62c9652c1d62594d3fde8cbdc259eb83e5c2709ba4a8b469d299d0459e8c6ad: Transaction amount doubled compared to previous transaction
0xaca7c2f46454ac47c4751f7d158a664036286311227dd669a93c9135768599d0: Transaction amount halved compared to previous transaction
0x27bcf8e95ad34b0a3899730ce30fc10f24802f8dfe42ce81c7f3dd49ab2ea1a5: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x7f8b9a3a101a01182930927a45bc393dc53cf11c14aac56df3ba612752770dd2: Transaction amount significantly higher than average
0xb515cfff9c583aa82080686209767be1b93ac66bb63f0a773ccd630a1d6db700: Transaction amount doubled compared to previous transaction
0x594f09cba484e050e9fffaa9acd629c3e34e073d97403a9aa8726535aa3a20d7: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0xdf7447c7f24c59d1b997b5aef2e0f59a7296b78ce0955370f7ec621edc1a1ea3: Transaction amount doubled compared to previous transaction, Transaction amount significantly higher than average
0xcc85b183fef033e19b934d19ca5ccc0c9cf8e7730e59226cb057bef0765b6255: Transaction amount significantly lower than average
0xfe63c5094b2c597cb3378b75d6ef2bd4a562b2fef11d7b5b29cf6c5f6845a0bb: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x9a7f694dd7556df950be775f978770e73b7cd195c42ea70b48c994bd55a92fff: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0xa3cbb14cd110e7e222617709a833cd9841594f292e722b7454d46a99cbc37313: High frequency transactions (less than 1 minute interval)
0x33f751b71cd34660a0f4ef7f650882067f716be24afc7f8f9ccd29cd50da5c08: High frequency transactions (less than 1 minute interval)
0x633f9e069f2176bc5e3ce21d1966a6c9929385418f20ff0cc22aef8953e3de5f: High frequency transactions (less than 1 minute interval)
0x5fd2049b3eeae4941f4ce30739fb1b1198becef4a96cdbe16cf36ea123aac0cd: High frequency transactions (less than 1 minute interval)
0xbed86bd40892a0d99c14e703e2d0f2e5236c3fa888d5b030b2a943839fdc4ce8: High frequency transactions (less than 1 minute interval)
0xe8071cc45bc6344e5dc6d0797f19de47b8d127cb9d0d459534af97060248ead4: High frequency transactions (less than 1 minute interval)
0x408c40c8e4ca82e3bb9c8ceb00ff7a0f3d31d2754d2fbe99b4895d110af86084: High frequency transactions (less than 1 minute interval)
0x3539442ca02cc1deedad48a93af24711851c653c3b7ea241b4c542419299f0a3: High frequency transactions (less than 1 minute interval)
0xe741b9d372f09eea3564585ccab3e3c293d3fe6720c4cd9a1dc536665cb51d2b: High frequency transactions (less than 1 minute interval)
0xecf0267b3b0d8b6dd0bf481df594f4fa9fb7224d201b091104ba263f6d313672: High frequency transactions (less than 1 minute interval)
0xc9a76d4471594546aaa1dd65aee2773066ccbe09036ed13c4360481d3a76f2e3: High frequency transactions (less than 1 minute interval)
0x1f2d10ce8e34328097aa02f53b2714b9b5a4e509730afcbffbfcde9bb55459de: High frequency transactions (less than 1 minute interval)
0xf50d437732a688190e276351210ca277eddf0b210c1569569c81711704c0459c: High frequency transactions (less than 1 minute interval)
0xc65d5aa7126ba277357417936a6c33b7d2ccc94f9c2c183cabd4f2c9492ddb83: High frequency transactions (less than 1 minute interval)
0xf62c9652c1d62594d3fde8cbdc259eb83e5c2709ba4a8b469d299d0459e8c6ad: High frequency transactions (less than 1 minute interval)
0xaca7c2f46454ac47c4751f7d158a664036286311227dd669a93c9135768599d0: High frequency transactions (less than 1 minute interval)
0x1711c6303ecfad71a60437e849e895202d1da883fa60344606e9f4ff2f0a9677: High frequency transactions (less than 1 minute interval)
0xba2265344f502402c4b2b0eadacfc560a732e4393eef0588c00cdaee47688402: High frequency transactions (less than 1 minute interval)
0xae5b450ab8c3bfc111deb4b53569ee1c96c01bcac4819c31bc5302fd21b15496: High frequency transactions (less than 1 minute interval)
0x38a8ae2e3a7e3ee89bf5b4fb7fd58cab08debe22765dd5cf4324e7ae1c8dc2c1: High frequency transactions (less than 1 minute interval)
0x22fbbb911403beb7cd15bd14acc7f47413aa1d74f3a0a2e00068e0e50e9e4bb2: High frequency transactions (less than 1 minute interval)
0x27bcf8e95ad34b0a3899730ce30fc10f24802f8dfe42ce81c7f3dd49ab2ea1a5: High frequency transactions (less than 1 minute interval)
0x7f8b9a3a101a01182930927a45bc393dc53cf11c14aac56df3ba612752770dd2: High frequency transactions (less than 1 minute interval)
0xb515cfff9c583aa82080686209767be1b93ac66bb63f0a773ccd630a1d6db700: High frequency transactions (less than 1 minute interval)
0x594f09cba484e050e9fffaa9acd629c3e34e073d97403a9aa8726535aa3a20d7: High frequency transactions (less than 1 minute interval)
0xdf7447c7f24c59d1b997b5aef2e0f59a7296b78ce0955370f7ec621edc1a1ea3: High frequency transactions (less than 1 minute interval)
0xa5a5e2fbc6108d73824882ca0c9cf25ade4bc6d28e4580eafa9d296fb36a4b57: High frequency transactions (less than 1 minute interval)
0x7c3f3d308619857bfa09f9946c9d414b5b797b35b574d6b36eb5206211420760: High frequency transactions (less than 1 minute interval)
0xb4a3b634171a84b53c064a7ddeaa2e5776247412cfc157f531468d0df08690bb: High frequency transactions (less than 1 minute interval)
0xfe63c5094b2c597cb3378b75d6ef2bd4a562b2fef11d7b5b29cf6c5f6845a0bb: High frequency transactions (less than 1 minute interval)
0x9a7f694dd7556df950be775f978770e73b7cd195c42ea70b48c994bd55a92fff: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xcc85b18…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xa5a5e2f…
|
33
Medium
|
Repetitive transaction amount
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
|
No tags
|
0xa3cbb14…
|
28
Medium
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
|
No tags
|
0x7c3f3d3…
|
46
High
|
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
|
No tags
|
0xe8071cc…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xe741b9d…
|
52
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
|
No tags
|
0xae5b450…
|
26
Medium
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Related to high-risk transaction ['0xbc87b21c343b8818d8976a3a62236abbe3da03a56dbca739123c0763378f7cd4'] (score: 89)
Short time frame between transactions
|
No tags
|
0x38a8ae2…
|
45
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xb4a3b63…
|
46
High
|
Related to 59 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
|
No tags
|
0xfe63c50…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x9a7f694…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x33f751b…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0x633f9e0…
|
51
High
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
|
No tags
|
0x5fd2049…
|
48
High
|
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
|
No tags
|
0x1711c63…
|
30
Medium
|
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x408c40c…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0x3539442…
|
45
High
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xecf0267…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xc9a76d4…
|
36
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
Regular interval transactions between the same wallets
|
No tags
|
0x1f2d10c…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xf50d437…
|
27
Medium
|
Repetitive transaction amount
Short time frame between transactions
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xc65d5aa…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xf62c965…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0xaca7c2f…
|
28
Medium
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
|
No tags
|
0xba22653…
|
28
Medium
|
Repetitive transaction amount
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Low transaction fee
|
No tags
|
0x22fbbb9…
|
51
High
|
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
|
No tags
|
0x7f8b9a3…
|
85
High
|
Short time frame between transactions
Standard mixer amount detected
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
|
No tags
|
0xb515cff…
|
30
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0x594f09c…
|
100
High
|
Short time frame between transactions
Very short time between transactions
Related to 254 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
Sends funds to exploit address: 0x47666f...
Transaction involves DeFi exploit address: Bybit Exploiter 1
|
No tags
|
0xdf7447c…
|
100
High
|
Short time frame between transactions
Transaction involves DeFi exploit address: Bybit Exploiter 1
Very short time between transactions
Related to 254 high-risk transactions (highest score: 100)
Transaction amount significantly lower than average
Low transaction fee
Sends funds to exploit address: 0x47666f...
Transaction amount halved compared to previous transaction
|
No tags
|
0x27bcf8e…
|
0
Low
|
Transaction involves trusted address (Exchange/DeFi Protocol)
|
No tags
|
0xbed86bd…
|
42
High
|
Short time frame between transactions
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Anomaly detected by Isolation Forest
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: 27
Medium Risk Activities: 0
Total Flagged Transactions: 32
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 0xc37906a2641c75d5992073cb3afd73d49f80494e:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 35.78
- Total Suspicious Patterns: 32
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 18:21:19 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
Views
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