Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xcb5b...e536
Published
15 Jul 2025
5 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xcb5b...e536
LLM Analysis
Overview
Project Scope
Analysis of wallet 0xcb5b8044be03095996c7ae1b6f0da2478247e536 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xcb5b8044be03095996c7ae1b6f0da2478247e536
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xcb5b8044be03095996c7ae1b6f0da2478247e536
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 22 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 0xcb5b8044be03095996c7ae1b6f0da2478247e536
1. Blockchain Data Retrieval
- Retrieved 22 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 0xcb5b8044be03095996c7ae1b6f0da2478247e536
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 87 Suspicious Transactions: 22
Key Findings: - Automated analysis detected 22 suspicious transactions - Risk assessment indicates very high risk level - 87 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.
0xd35c3ea5f3b56885c60061f5dfada43c8522dc3af974961035e12203c1ba7811: Very short time between transactions
0xba35414390d6304ff5c761f0224d31f3acec836a4a3af69f1a1795edf6811d0d: Very short time between transactions
0x55be1659ea88e09ee92621a78864d61cdb4005f5c23d890a5ca660ed9c71f41e: Very short time between transactions
0x85f23a483da77e87a8cbca2826b3ec2d840ec18ba058d8a2dd78a6f461b94ade: Very short time between transactions
0xecb494eed4ffb9679d47f42a722c2eb65742b8e983386b4f7c4138b353e7ac83: Very short time between transactions
0x08d99cd202b078d1c88d853677e54142b2b214468ec96dc95838eb35cdbea886: Very short time between transactions
0xf8782dbe3730c6819c6dc9ba0acc19b0d8977eff1ae12501969a93535cce00d2: Very short time between transactions
0x8431830fe781fd2bc17ac306ff04706dbd305bce85c49f20c9388be8d928e5da: Very short time between transactions
0x72b655cd4c4fc8d3f46ac3c140f35bd21d504a2a45e6f1a68e69c96be041a0bd: Very short time between transactions
0x19e7bae5a8eac9bbca53d4747e5c6b7a1536e9ed257b9940a258abc76d2b48f5: Very short time between transactions
0xe3de98f11361a509216074bb0b460a18c1bef367d5642857be14c5dd8a60815e: Very short time between transactions
0xd7bd6903d6237509580040f3f69d698e9aca5b890d7230de97c2b1fd52ea4892: Very short time between transactions
0xa993fb2ce34441633a5b51494381033502b6cd53da282c2c8e730d47efbf6e08: Very short time between transactions
0xbf7665a2b472c92ba7a0dfb484a3eb5430e4ee2bb34403134a83ca84fb76d0c3: Very short time between transactions
0xfd9bd06621fad5ccb23a4f19a56fe2488d7571cc56dbaa34baf5d27676d47be2: Very short time between transactions
0x226abdef25245b4710980c66f4fe5f7dc47d94cfeb8a34e9146262e86edd7258: Very short time between transactions
0xbabc091100f286da689d35950f68134096c8f8ee46f1049f1f4e111c538adbe3: Very short time between transactions
0x923009ee036682e8033ae57df8e19ad4c30de90d98f0aaf585535805a5dc5e99: Very short time between transactions
0x5b73e68085f52e6a716969ac687cc772cc8a5dafc8458b617954bd98525f5716: Very short time between transactions
0xcc64b60525a03f1df786d535ed09a8231f2d39574f2d5e25e35cb13d5d8d8c35: Very short time between transactions
0x40c6c70bcf32a5e40306d1aa6aa2853836152648260e2399e5b83a8a52ad615c: Very short time between transactions
0x19e7bae5a8eac9bbca53d4747e5c6b7a1536e9ed257b9940a258abc76d2b48f5: Transaction amount halved compared to previous transaction
0xbf7665a2b472c92ba7a0dfb484a3eb5430e4ee2bb34403134a83ca84fb76d0c3: Transaction amount doubled compared to previous transaction
0xfd9bd06621fad5ccb23a4f19a56fe2488d7571cc56dbaa34baf5d27676d47be2: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x40c6c70bcf32a5e40306d1aa6aa2853836152648260e2399e5b83a8a52ad615c: Transaction amount halved compared to previous transaction
0xd35c3ea5f3b56885c60061f5dfada43c8522dc3af974961035e12203c1ba7811: High frequency transactions (less than 1 minute interval)
0xba35414390d6304ff5c761f0224d31f3acec836a4a3af69f1a1795edf6811d0d: High frequency transactions (less than 1 minute interval), Regular interval transactions between the same wallets
0x55be1659ea88e09ee92621a78864d61cdb4005f5c23d890a5ca660ed9c71f41e: High frequency transactions (less than 1 minute interval)
0x85f23a483da77e87a8cbca2826b3ec2d840ec18ba058d8a2dd78a6f461b94ade: High frequency transactions (less than 1 minute interval)
0xecb494eed4ffb9679d47f42a722c2eb65742b8e983386b4f7c4138b353e7ac83: High frequency transactions (less than 1 minute interval)
0x08d99cd202b078d1c88d853677e54142b2b214468ec96dc95838eb35cdbea886: High frequency transactions (less than 1 minute interval)
0xf8782dbe3730c6819c6dc9ba0acc19b0d8977eff1ae12501969a93535cce00d2: High frequency transactions (less than 1 minute interval)
0x8431830fe781fd2bc17ac306ff04706dbd305bce85c49f20c9388be8d928e5da: High frequency transactions (less than 1 minute interval)
0x72b655cd4c4fc8d3f46ac3c140f35bd21d504a2a45e6f1a68e69c96be041a0bd: High frequency transactions (less than 1 minute interval)
0x19e7bae5a8eac9bbca53d4747e5c6b7a1536e9ed257b9940a258abc76d2b48f5: High frequency transactions (less than 1 minute interval)
0xe3de98f11361a509216074bb0b460a18c1bef367d5642857be14c5dd8a60815e: High frequency transactions (less than 1 minute interval)
0xd7bd6903d6237509580040f3f69d698e9aca5b890d7230de97c2b1fd52ea4892: High frequency transactions (less than 1 minute interval)
0xa993fb2ce34441633a5b51494381033502b6cd53da282c2c8e730d47efbf6e08: High frequency transactions (less than 1 minute interval)
0xbf7665a2b472c92ba7a0dfb484a3eb5430e4ee2bb34403134a83ca84fb76d0c3: High frequency transactions (less than 1 minute interval)
0xfd9bd06621fad5ccb23a4f19a56fe2488d7571cc56dbaa34baf5d27676d47be2: High frequency transactions (less than 1 minute interval)
0x226abdef25245b4710980c66f4fe5f7dc47d94cfeb8a34e9146262e86edd7258: High frequency transactions (less than 1 minute interval)
0xbabc091100f286da689d35950f68134096c8f8ee46f1049f1f4e111c538adbe3: High frequency transactions (less than 1 minute interval)
0x923009ee036682e8033ae57df8e19ad4c30de90d98f0aaf585535805a5dc5e99: High frequency transactions (less than 1 minute interval)
0x5b73e68085f52e6a716969ac687cc772cc8a5dafc8458b617954bd98525f5716: High frequency transactions (less than 1 minute interval)
0xcc64b60525a03f1df786d535ed09a8231f2d39574f2d5e25e35cb13d5d8d8c35: High frequency transactions (less than 1 minute interval)
0x40c6c70bcf32a5e40306d1aa6aa2853836152648260e2399e5b83a8a52ad615c: High frequency transactions (less than 1 minute interval)
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0xd35c3ea…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 22
Receives funds from exploit address: 0xfc9266...
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Related to 158 high-risk transactions (highest score: 100)
|
No tags
|
0xbfd3cb7…
|
100
High
|
Receives funds from exploit address: 0x83c767...
Related to 144 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 26
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xba35414…
|
54
High
|
Short time frame between transactions
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
|
No tags
|
0x226abde…
|
60
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
Regular interval transactions between the same wallets
|
No tags
|
0x8431830…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Very short time between transactions
Transaction amount significantly lower than average
Transaction involves known exploit address: Fake_Phishing1291702
Receives funds from exploit address: 0xc76843...
Low transaction fee
Related to 2 high-risk transactions (highest score: 100)
Transaction amount doubled compared to previous transaction
|
No tags
|
0x19e7bae…
|
31
Medium
|
High frequency transactions (less than 1 minute interval)
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
|
0xd7bd690…
|
39
Medium
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
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
Transaction amount halved compared to previous transaction
|
No tags
|
0xbf7665a…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Transaction involves known exploit address: Fake_Phishing1291702
Low transaction fee
Related to 2 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0xc76843...
Transaction amount halved compared to previous transaction
|
No tags
|
0xfd9bd06…
|
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
|
0xcc64b60…
|
31
Medium
|
High frequency transactions (less than 1 minute interval)
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
|
0x72b655c…
|
40
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0x08d99cd…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
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
|
0x85f23a4…
|
53
High
|
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Large transaction amount
|
No tags
|
0x55be165…
|
47
High
|
Short time frame between transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount halved compared to previous transaction
|
No tags
|
0xecb494e…
|
100
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Receives funds from exploit address: 0xf893cd...
Transaction involves known exploit address: Fake_Phishing1291700
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved compared to previous transaction
|
No tags
|
0xf8782db…
|
46
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount doubled compared to previous transaction
|
No tags
|
0x40c6c70…
|
29
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 doubled compared to previous transaction
|
No tags
|
0xa993fb2…
|
55
High
|
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xbabc091…
|
38
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
Regular interval transactions between the same wallets
Transaction amount halved compared to previous transaction
|
No tags
|
0x923009e…
|
69
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Rapid accumulation of large transactions
Very short time between transactions
Low transaction fee
Anomaly detected by Isolation Forest
Large transaction amount
Transaction amount doubled compared to previous transaction
|
No tags
|
0xe3de98f…
|
37
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 doubled compared to previous transaction
Regular interval transactions between the same wallets
|
No tags
|
0x5b73e68…
|
47
High
|
High frequency transactions (less than 1 minute interval)
Short time frame between transactions
Rapid multi-hop layering pattern detected
Very short time between transactions
Transaction amount significantly lower than average
Low transaction fee
Transaction amount halved 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: 22
Medium Risk Activities: 0
Total Flagged Transactions: 22
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 0xcb5b8044be03095996c7ae1b6f0da2478247e536:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 56.86
- Total Suspicious Patterns: 22
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 19:26:23 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
5
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