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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x2b4e...31d0

Published 14 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x2b4e...31d0
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Overview

Project Scope

Analysis of wallet 0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 17 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 0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0 1. Blockchain Data Retrieval - Retrieved 17 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 0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 68 Suspicious Transactions: 17

Key Findings: - Automated analysis detected 17 suspicious transactions - Risk assessment indicates very high risk level - 68 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.
0xe535d96385c7eacfe72c775022a0c9a6995d4f912e6cdf53d050f7407cee273d: Very short time between transactions 0xdaae1054c695fb37196f39cb81b7c3b7a275eddbad13a61fe7ba577267bd1cdb: Very short time between transactions 0x3567b2997aab60d52173c6f381c526702d58a2a0ba7b6c1afa86ed01f9b5b353: Very short time between transactions 0xf55bb723bdc86ac6daae29d56dd841c476a29faa7ad6ba4037abc4ed614e9fc4: Very short time between transactions 0x4329874b185db9e7af93e9cf1cae33e8689e59c84fee9231852fb20fba7912d2: Very short time between transactions 0xc09e571ce0bb4ff5bda629f532170fb67903c950d19ad4bfecae7c73f91c93d4: Very short time between transactions 0xadf86319fd3383ead3003611d65211d4478a672c36974a1bc0ad3568053f4646: Very short time between transactions 0x68176f9157df0a0bb7e6c0235b7b6bbf0f16150a9401c70a594eb2a168dec413: Very short time between transactions 0x3b948f7b19f660a0c80a8feaf92e77fefd2f6d47552c9072f43a73ed7c4c7a2b: Very short time between transactions 0xce88c388c997593991a0db7b510cd9c51809fe391e11c6cac42c272bf28e0b4d: Very short time between transactions 0x3b4930c7de29ac6bfc09447129ac64e182f58279c133b5d32526a5e6a43f305d: Very short time between transactions 0x2199553f3fc7fffec2f8f6c3b2519cce051f0867a7f2d725beea233e706125c6: Very short time between transactions 0x71abc3a46a1c8425df6fb2416fcf4ccd53606b3f49c498d9282b2451ca7b3960: Very short time between transactions 0x6eb31f75299637e2bdf694749d64068eba167b65673e0bfed021930d94dce9fc: Very short time between transactions 0x6f9c72d7829af993eb2be496722e41165e6c66ee1e37421bf0a4d34d28fb0324: Very short time between transactions 0x959d67b68dcb63ee11504c6973d0a82720966fd141a7893e11b2e333de30d87d: Very short time between transactions
0xe535d96385c7eacfe72c775022a0c9a6995d4f912e6cdf53d050f7407cee273d: Transaction amount doubled compared to previous transaction 0x2199553f3fc7fffec2f8f6c3b2519cce051f0867a7f2d725beea233e706125c6: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction 0x71abc3a46a1c8425df6fb2416fcf4ccd53606b3f49c498d9282b2451ca7b3960: Transaction amount halved compared to previous transaction 0x6eb31f75299637e2bdf694749d64068eba167b65673e0bfed021930d94dce9fc: Transaction amount halved compared to previous transaction 0x6f9c72d7829af993eb2be496722e41165e6c66ee1e37421bf0a4d34d28fb0324: Transaction amount doubled compared to previous transaction
0xe535d96385c7eacfe72c775022a0c9a6995d4f912e6cdf53d050f7407cee273d: High frequency transactions (less than 1 minute interval) 0x42d25ba86189902d26adefd45a747e3f2117eb0a70784e9bea7dc31695716469: Regular interval transactions between the same wallets 0xdaae1054c695fb37196f39cb81b7c3b7a275eddbad13a61fe7ba577267bd1cdb: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x3567b2997aab60d52173c6f381c526702d58a2a0ba7b6c1afa86ed01f9b5b353: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xf55bb723bdc86ac6daae29d56dd841c476a29faa7ad6ba4037abc4ed614e9fc4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x4329874b185db9e7af93e9cf1cae33e8689e59c84fee9231852fb20fba7912d2: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xc09e571ce0bb4ff5bda629f532170fb67903c950d19ad4bfecae7c73f91c93d4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xadf86319fd3383ead3003611d65211d4478a672c36974a1bc0ad3568053f4646: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x68176f9157df0a0bb7e6c0235b7b6bbf0f16150a9401c70a594eb2a168dec413: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x3b948f7b19f660a0c80a8feaf92e77fefd2f6d47552c9072f43a73ed7c4c7a2b: High frequency transactions (less than 1 minute interval) 0xce88c388c997593991a0db7b510cd9c51809fe391e11c6cac42c272bf28e0b4d: High frequency transactions (less than 1 minute interval) 0x3b4930c7de29ac6bfc09447129ac64e182f58279c133b5d32526a5e6a43f305d: High frequency transactions (less than 1 minute interval) 0x2199553f3fc7fffec2f8f6c3b2519cce051f0867a7f2d725beea233e706125c6: High frequency transactions (less than 1 minute interval) 0x71abc3a46a1c8425df6fb2416fcf4ccd53606b3f49c498d9282b2451ca7b3960: High frequency transactions (less than 1 minute interval) 0x6eb31f75299637e2bdf694749d64068eba167b65673e0bfed021930d94dce9fc: High frequency transactions (less than 1 minute interval) 0x6f9c72d7829af993eb2be496722e41165e6c66ee1e37421bf0a4d34d28fb0324: High frequency transactions (less than 1 minute interval) 0x959d67b68dcb63ee11504c6973d0a82720966fd141a7893e11b2e333de30d87d: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
17
Average Risk Score
47.47
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xce88c38…
69 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x6eb31f7…
48 High
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x42d25ba…
44 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 halved compared to previous transaction
No tags
0xdaae105…
36 Medium
Short time frame between transactions
Multiple round number transactions
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x3567b29…
43 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
No tags
0xf55bb72…
49 High
Short time frame between transactions
Transaction amount significantly higher than average
Related to high-risk transaction ['0x45ff47e8d49027e9f6e1f512e7c7620a5726bbf511088286ba0ccc3bd23c9f99'] (score: 81)
Anomaly detected by Isolation Forest
Large transaction amount
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x4329874…
53 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Large transaction amount
Round amount consistent with mixer
Low transaction fee
Rapid accumulation of large transactions
No tags
0xc09e571…
60 High
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0xadf8631…
64 High
Short time frame between transactions
Regular interval transactions between the same wallets
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x68176f9…
45 High
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
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
0x3b4930c…
72 High
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Rapid multi-hop layering pattern detected
Low transaction fee
Part of coordinated wallet cluster
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x2199553…
23 Low
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x71abc3a…
35 Medium
Short time frame between transactions
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0x6f9c72d…
61 High
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Regular interval transactions between the same wallets
Rapid multi-hop layering pattern detected
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x959d67b…
32 Medium
Short time frame between transactions
Fan-in structuring detected: 3 similar amounts from different addresses totaling 0.00
Fan-in structuring detected: 4 similar amounts from different addresses totaling 0.00
Repetitive transaction amount
Low transaction fee
Part of coordinated wallet cluster
Transaction amount significantly lower than average
No tags
0xe535d96…
100 High
Transaction amount significantly higher than average
Transaction involves DeFi exploit address: Bybit Exploiter 30
Receives funds from exploit address: 0xaf620e...
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Related to 24 high-risk transactions (highest score: 100)
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
No tags
0x3b948f7…
42 High
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Part of coordinated wallet cluster
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
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: 17 Medium Risk Activities: 0 Total Flagged Transactions: 17 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 0x2b4e615dd1d1ab1ac9eae8e858fdffb6ae7531d0: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 51.53 - Total Suspicious Patterns: 17 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 00:43:37 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
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Likes 0