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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x2b7e...4164

Published 14 Jul 2025 8 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x2b7e...4164
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Overview

Project Scope

Analysis of wallet 0x2b7e6b5e3db37b9b1028307853c49543a5d74164 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x2b7e6b5e3db37b9b1028307853c49543a5d74164
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x2b7e6b5e3db37b9b1028307853c49543a5d74164 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 0x2b7e6b5e3db37b9b1028307853c49543a5d74164 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 0x2b7e6b5e3db37b9b1028307853c49543a5d74164

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 64 Suspicious Transactions: 17

Key Findings: - Automated analysis detected 17 suspicious transactions - Risk assessment indicates very high risk level - 64 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.
0x552e9d98e5f578ae775c26571222b02cd88a5b0b6c76302d7f13018318144ac4: Very short time between transactions 0xefc287d37a5bf824bf58e843eb4c05aaa7c4257c2296f52a27e6fdf459a5161d: Very short time between transactions 0x925bbe8581bc417a2d744cc6ff51c370f2a7c2ced8bde63878a179eda8f6ccbc: Very short time between transactions 0xa1898606878b19e0dcb2bf0644ad0163ae3ca3f20c31ae357dd3bbdf37deb484: Very short time between transactions 0x91134cc7355231bb64d1a510c46370e7f5b8cd50b2c2c46d47360f796c5094cd: Very short time between transactions 0x4447bab0edce5c29caaa422771919ddd9d16780185233ae541f6339655cef183: Very short time between transactions 0x82ada85bec1f881bdbdcf787d5ff67ac1eed7e6353c84009cdf2a438d528e976: Very short time between transactions 0xc7f1a20bfc3628c46b8cce9d6fe88f113487a1d92795fc141fe23e8d68ae7ee7: Very short time between transactions 0x237d4823a6e80439dced2db84bde96337e9c6851e18cde4a2cd41059362d7da7: Very short time between transactions 0x872eba593d4b7681086b08bab1c1efd565396407186b471b6677612e96c5f430: Very short time between transactions 0x6edea93bcffb8d96e478cd7e5f6121a138cde3b7996b728a2b0818dae828c8e7: Very short time between transactions 0x5096d96cd227104015dddc95fa3cfca6ad7e2fa3956387021c43540908d71c05: Very short time between transactions 0x029cbfe278d3ce908ca6d08287a1ba95fa8bb37e26f4fc862eb4ada2073f19bb: Very short time between transactions 0x85a1dcaad99130b8330ab55a62e65e6b96ae7d00ec7b6be58f798af0b48d1aab: Very short time between transactions 0xa3d13b19932a48b4eba72e99461a7c32b410541e8ba71f152cd3e2b0db775b90: Very short time between transactions
0x6edea93bcffb8d96e478cd7e5f6121a138cde3b7996b728a2b0818dae828c8e7: Transaction amount halved compared to previous transaction 0x029cbfe278d3ce908ca6d08287a1ba95fa8bb37e26f4fc862eb4ada2073f19bb: Transaction amount halved compared to previous transaction
0x552e9d98e5f578ae775c26571222b02cd88a5b0b6c76302d7f13018318144ac4: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xefc287d37a5bf824bf58e843eb4c05aaa7c4257c2296f52a27e6fdf459a5161d: High frequency transactions (less than 1 minute interval) 0xa1898606878b19e0dcb2bf0644ad0163ae3ca3f20c31ae357dd3bbdf37deb484: High frequency transactions (less than 1 minute interval) 0x91134cc7355231bb64d1a510c46370e7f5b8cd50b2c2c46d47360f796c5094cd: High frequency transactions (less than 1 minute interval) 0x4447bab0edce5c29caaa422771919ddd9d16780185233ae541f6339655cef183: High frequency transactions (less than 1 minute interval) 0x82ada85bec1f881bdbdcf787d5ff67ac1eed7e6353c84009cdf2a438d528e976: High frequency transactions (less than 1 minute interval) 0xc7f1a20bfc3628c46b8cce9d6fe88f113487a1d92795fc141fe23e8d68ae7ee7: High frequency transactions (less than 1 minute interval) 0x237d4823a6e80439dced2db84bde96337e9c6851e18cde4a2cd41059362d7da7: High frequency transactions (less than 1 minute interval) 0x6edea93bcffb8d96e478cd7e5f6121a138cde3b7996b728a2b0818dae828c8e7: High frequency transactions (less than 1 minute interval) 0x5096d96cd227104015dddc95fa3cfca6ad7e2fa3956387021c43540908d71c05: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x029cbfe278d3ce908ca6d08287a1ba95fa8bb37e26f4fc862eb4ada2073f19bb: High frequency transactions (less than 1 minute interval) 0x85a1dcaad99130b8330ab55a62e65e6b96ae7d00ec7b6be58f798af0b48d1aab: High frequency transactions (less than 1 minute interval) 0xa3d13b19932a48b4eba72e99461a7c32b410541e8ba71f152cd3e2b0db775b90: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
17
Average Risk Score
49.0
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x680f958…
62 High
Anomaly detected by Isolation Forest
Round amount consistent with mixer
High frequency transactions (less than 1 minute interval)
Low transaction fee
Standard mixer amount detected
Related to high-risk transaction ['0xde5332a380a222c3240dfb2edec6ee62944d02c0707c836a76be71af2da05d0a'] (score: 100)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x552e9d9…
55 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Standard mixer amount detected
Related to high-risk transaction ['0xde5332a380a222c3240dfb2edec6ee62944d02c0707c836a76be71af2da05d0a'] (score: 100)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x91134cc…
39 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0xc7f1a20…
100 High
Transaction amount significantly higher than average
Receives funds from exploit address: 0x96244d...
Anomaly detected by Isolation Forest
Large transaction amount
Transaction involves DeFi exploit address: Bybit Exploiter 32
Related to 34 high-risk transactions (highest score: 100)
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
No tags
0xefc287d…
32 Medium
Anomaly detected by Isolation Forest
Large transaction amount
Low transaction fee
Related to high-risk transaction ['0xde5332a380a222c3240dfb2edec6ee62944d02c0707c836a76be71af2da05d0a'] (score: 100)
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
No tags
0x925bbe8…
61 High
Anomaly detected by Isolation Forest
Large transaction amount
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xa189860…
44 High
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x872eba5…
100 High
Anomaly detected by Isolation Forest
Large transaction amount
Part of coordinated wallet cluster
Low transaction fee
Related to 36 high-risk transactions (highest score: 100)
Receives funds from exploit address: 0xfc9266...
Rapid accumulation of large transactions
Transaction involves DeFi exploit address: Bybit Exploiter 22
Very short time between transactions
No tags
0x6edea93…
37 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Very short time between transactions
No tags
0x2b66772…
32 Medium
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x029cbfe…
32 Medium
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Repetitive transaction amount
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x85a1dca…
37 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Very short time between transactions
No tags
0xa3d13b1…
37 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Very short time between transactions
No tags
0x5096d96…
43 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x4447bab…
39 Medium
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Related to 20 high-risk transactions (highest score: 100)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x237d482…
50 High
Short time frame between transactions
Rapid accumulation of large transactions
Large transaction amount
Part of coordinated wallet cluster
Low transaction fee
Related to 2 high-risk transactions (highest score: 83)
Very short time between transactions
No tags
0x82ada85…
58 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Large transaction amount
Part of coordinated wallet cluster
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large 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: 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 0x2b7e6b5e3db37b9b1028307853c49543a5d74164: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 50.47 - 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 00:45:04 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