Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xa70e...a735
Published
14 Jul 2025
7 views
Wallet Name
Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xa70e...a735
Login to view LLM Analysis
Overview
Project Scope
Analysis of wallet 0xa70ec08aa18ba8290b77e023e1bd90e05709a735 - Lazarus High Risk Bybit Hacking Investigation
Suspicious Wallet Hash
0xa70ec08aa18ba8290b77e023e1bd90e05709a735
This is the primary wallet address being investigated in this report.
Methodology
Research Methodology
Automated Analysis Methodology for Wallet 0xa70ec08aa18ba8290b77e023e1bd90e05709a735
1. Data Collection
- Automated transaction retrieval from blockchain
- Historical transaction pattern analysis
- Network connection mapping
2. Analysis Algorithms
- Multi-algorithm approach using 15 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 0xa70ec08aa18ba8290b77e023e1bd90e05709a735
1. Blockchain Data Retrieval
- Retrieved 15 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 0xa70ec08aa18ba8290b77e023e1bd90e05709a735
Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 58 Suspicious Transactions: 15
Key Findings: - Automated analysis detected 15 suspicious transactions - Risk assessment indicates very high risk level - 58 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.
0x954a01f93580615ab23562e31f55b46a98d9464302654b8f80bc878bf7061f9d: Very short time between transactions
0x2b8328384d7babd730d4057dd0aeae5e01a76d79f91af801abfd6e11bc63377d: Very short time between transactions
0xe1dde6d2514b6f6aa28256f65c6e69a878798ec409d54aad21bac8a9d4466d4a: Very short time between transactions
0x1695f5b8254aec431032f9ce7073b38fb34f1b3b106891a4739eacc1e7f029d7: Very short time between transactions
0x078a3d208ee50541f1afbd7f028f29f6e003141264ca5aba3ce14d928552b25e: Very short time between transactions
0x9032ae1d75f13c1eca977ab7a6ea32377b86c230602458dfd01e9017b7c9a9d4: Very short time between transactions
0x069de2bb688118cd47e6dc4e9dff76c1396071f15d0a2ab9ee490b7aeee98515: Very short time between transactions
0xe336789308ec1907fe8479e7e81251b35afeb36efa7952f95be7d2d9361acf8a: Very short time between transactions
0xbf5019e942ae7d527e72fe67db228a84a2170e43f76d4ccb5217c163bda4089f: Very short time between transactions
0x495f578179437cd778266f102bbd2504c3b25aded28ecefddb5fc3532c47ca34: Very short time between transactions
0xe5ee3371752c15f07da464aa9c8a6efcffd7049051ec6a64fe3259f33e82a0ad: Very short time between transactions
0xebbd7a1502066abd43c037b7559b03db425ca7e37bcde66b40e08409929a62d3: Very short time between transactions
0x9a4b3e901516578365733fdf05fe0ea1b1b1b1c9ddb4b5fb06f7b80e7d1a9225: Very short time between transactions
0x954a01f93580615ab23562e31f55b46a98d9464302654b8f80bc878bf7061f9d: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x1695f5b8254aec431032f9ce7073b38fb34f1b3b106891a4739eacc1e7f029d7: Transaction amount halved compared to previous transaction
0x954a01f93580615ab23562e31f55b46a98d9464302654b8f80bc878bf7061f9d: High frequency transactions (less than 1 minute interval)
0x2b8328384d7babd730d4057dd0aeae5e01a76d79f91af801abfd6e11bc63377d: High frequency transactions (less than 1 minute interval)
0xe1dde6d2514b6f6aa28256f65c6e69a878798ec409d54aad21bac8a9d4466d4a: High frequency transactions (less than 1 minute interval)
0x1695f5b8254aec431032f9ce7073b38fb34f1b3b106891a4739eacc1e7f029d7: High frequency transactions (less than 1 minute interval)
0x078a3d208ee50541f1afbd7f028f29f6e003141264ca5aba3ce14d928552b25e: High frequency transactions (less than 1 minute interval)
0x9032ae1d75f13c1eca977ab7a6ea32377b86c230602458dfd01e9017b7c9a9d4: High frequency transactions (less than 1 minute interval)
0x069de2bb688118cd47e6dc4e9dff76c1396071f15d0a2ab9ee490b7aeee98515: High frequency transactions (less than 1 minute interval)
0xe336789308ec1907fe8479e7e81251b35afeb36efa7952f95be7d2d9361acf8a: High frequency transactions (less than 1 minute interval)
0xbf5019e942ae7d527e72fe67db228a84a2170e43f76d4ccb5217c163bda4089f: High frequency transactions (less than 1 minute interval)
0x495f578179437cd778266f102bbd2504c3b25aded28ecefddb5fc3532c47ca34: High frequency transactions (less than 1 minute interval)
0xe5ee3371752c15f07da464aa9c8a6efcffd7049051ec6a64fe3259f33e82a0ad: High frequency transactions (less than 1 minute interval)
0xebbd7a1502066abd43c037b7559b03db425ca7e37bcde66b40e08409929a62d3: High frequency transactions (less than 1 minute interval)
0x9a4b3e901516578365733fdf05fe0ea1b1b1b1c9ddb4b5fb06f7b80e7d1a9225: High frequency transactions (less than 1 minute interval)
Summary
Total Suspicious Transactions
15
Average Risk Score
35.73
Top Tags
No tags
Suspicious Transactions
| Transaction Hash | Risk Score | Risk Factors | Tags |
|---|---|---|---|
0x7f7bc01…
|
36
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 11 high-risk transactions (highest score: 100)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x1695f5b…
|
26
Medium
|
Short time frame between transactions
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xebbd7a1…
|
36
Medium
|
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 3 high-risk transactions (highest score: 79)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x078a3d2…
|
20
Low
|
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0x9a4b3e9…
|
28
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 8 high-risk transactions (highest score: 81)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0x954a01f…
|
100
High
|
Related to 217 high-risk transactions (highest score: 100)
Transaction involves DeFi exploit address: Bybit Exploiter 1
Sends funds to exploit address: 0x47666f...
Low transaction fee
Address became active after a long inactive period
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
|
No tags
|
0xa319c39…
|
39
Medium
|
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x2b83283…
|
28
Medium
|
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0xe1dde6d…
|
33
Medium
|
Anomaly detected by Isolation Forest
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
|
No tags
|
0x9032ae1…
|
20
Low
|
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
|
No tags
|
0x069de2b…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 26 high-risk transactions (highest score: 100)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xe336789…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 26 high-risk transactions (highest score: 100)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0xbf5019e…
|
25
Medium
|
Short time frame between transactions
Multiple round number transactions
Related to 155 high-risk transactions (highest score: 100)
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
|
No tags
|
0x495f578…
|
46
High
|
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly higher than user average
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
|
No tags
|
0xe5ee337…
|
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
|
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: 15
Medium Risk Activities: 0
Total Flagged Transactions: 15
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 0xa70ec08aa18ba8290b77e023e1bd90e05709a735:
1. Risk Assessment
- Overall Risk Level: Very High
- Standardized Risk Score: 100/100
- Average Transaction Risk Score: 35.73
- Total Suspicious Patterns: 15
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 12:34:19 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 14, 2025
Views
7
Likes
0