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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x672e...2b25

Published 14 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x672e...2b25
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Overview

Project Scope

Analysis of wallet 0x672e78c7f544f5782d013e963960f908e0bd2b25 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x672e78c7f544f5782d013e963960f908e0bd2b25
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x672e78c7f544f5782d013e963960f908e0bd2b25 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 10 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 0x672e78c7f544f5782d013e963960f908e0bd2b25 1. Blockchain Data Retrieval - Retrieved 10 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 0x672e78c7f544f5782d013e963960f908e0bd2b25

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 39 Suspicious Transactions: 10

Key Findings: - Automated analysis detected 10 suspicious transactions - Risk assessment indicates very high risk level - 39 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.
0x7e7bf522c0282fcc8f664f961358ac930abac1322cb0ce3f241b4ab41d45c3cc: Very short time between transactions 0xb32c13aa47dfb7a082caf778fee1140c86ccc3cf802d76860aaf2ac504e4e9ee: Very short time between transactions 0x18146fddf955acbff3dd2bd3b0a8fdae9104ab80ba39a91fbc09d1450252e81c: Very short time between transactions 0xa2e707031c05cfae0ef7e954b61a2ea89873f25a5c816eb54f084ddee834e7f6: Very short time between transactions 0x23b69536a96e0c510a6071809c2853f02d63abcd83e274072bf82e888b75855d: Very short time between transactions 0x8bcb8d276b0efcad370f118f8c630f7922339d37e57be70b1eea0855bbe68bfd: Very short time between transactions 0x83e9d4a6a5c3690f28c06a7ec95a438f2aded421a7bb29d157dd38cdce890686: Very short time between transactions 0x633aaa92e16c739512c6ff1098e7f47dafef67482de3221a6c86e9d1ab6b4ba8: Very short time between transactions 0xb4d8b0728c5088e9039cc38323beedbd5bc587641ac11f43da378b90cef82963: Very short time between transactions
0x7e7bf522c0282fcc8f664f961358ac930abac1322cb0ce3f241b4ab41d45c3cc: Transaction amount significantly higher than average 0x83e9d4a6a5c3690f28c06a7ec95a438f2aded421a7bb29d157dd38cdce890686: Transaction amount significantly lower than average
0x7e7bf522c0282fcc8f664f961358ac930abac1322cb0ce3f241b4ab41d45c3cc: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0xb32c13aa47dfb7a082caf778fee1140c86ccc3cf802d76860aaf2ac504e4e9ee: High frequency transactions (less than 1 minute interval) 0x18146fddf955acbff3dd2bd3b0a8fdae9104ab80ba39a91fbc09d1450252e81c: High frequency transactions (less than 1 minute interval) 0xa2e707031c05cfae0ef7e954b61a2ea89873f25a5c816eb54f084ddee834e7f6: High frequency transactions (less than 1 minute interval) 0x23b69536a96e0c510a6071809c2853f02d63abcd83e274072bf82e888b75855d: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x8bcb8d276b0efcad370f118f8c630f7922339d37e57be70b1eea0855bbe68bfd: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x83e9d4a6a5c3690f28c06a7ec95a438f2aded421a7bb29d157dd38cdce890686: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x633aaa92e16c739512c6ff1098e7f47dafef67482de3221a6c86e9d1ab6b4ba8: High frequency transactions (less than 1 minute interval) 0xb4d8b0728c5088e9039cc38323beedbd5bc587641ac11f43da378b90cef82963: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
10
Average Risk Score
47.1
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xa2e7070…
41 High
High volume of small transactions to the same wallet
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
No tags
0x7e7bf52…
100 High
High volume of small transactions to the same wallet
Related to 82 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
0x633aaa9…
38 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Multiple round number transactions
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x0fc3924…
51 High
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
No tags
0xb32c13a…
57 High
Short time frame between transactions
Transaction amount significantly higher than average
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
High frequency transactions (less than 1 minute interval)
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
No tags
0x18146fd…
41 High
Short time frame between transactions
High volume of small transactions to the same wallet
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x23b6953…
39 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Part of cyclic transaction pattern: Part of cycle of length 4
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x8bcb8d2…
55 High
Short time frame between transactions
High volume of small transactions to the same wallet
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
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
0x83e9d4a…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0xb4d8b07…
38 Medium
Short time frame between transactions
High volume of small transactions to the same wallet
Multiple round number transactions
Repetitive transaction amount
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: 9 Medium Risk Activities: 0 Total Flagged Transactions: 10 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 0x672e78c7f544f5782d013e963960f908e0bd2b25: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 46.00 - Total Suspicious Patterns: 10 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 06:08:02 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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