SECURING CONNECTION
INITIALIZING BLOCKCHAIN ANALYSIS
SITE AVAILABLE TRUE
SECURITY LEVEL SECURE
NETWORK STATUS SECURE

Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xbc10...c299

Published 15 Jul 2025 5 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xbc10...c299
LLM Analysis

Overview

Project Scope

Analysis of wallet 0xbc10723e7efe10b5c382c6a6bcc0275dd781c299 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xbc10723e7efe10b5c382c6a6bcc0275dd781c299
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xbc10723e7efe10b5c382c6a6bcc0275dd781c299 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 18 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 0xbc10723e7efe10b5c382c6a6bcc0275dd781c299 1. Blockchain Data Retrieval - Retrieved 18 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 0xbc10723e7efe10b5c382c6a6bcc0275dd781c299

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 72 Suspicious Transactions: 18

Key Findings: - Automated analysis detected 18 suspicious transactions - Risk assessment indicates very high risk level - 72 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.
0x19bdd6414b31ff598bbf2556126762933bfae453fc441a8496257d8409103b86: Very short time between transactions
0x41b3f31ed696c6f1be3c724f25a2acae1924fb1cdf83fcc9f05047595de1cfb0: Transaction amount significantly higher than average 0x8954df50d75c46fed91deff0a67944bbfac2cc04294f2a2b2b1649360f51c1d3: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x19bdd6414b31ff598bbf2556126762933bfae453fc441a8496257d8409103b86: High frequency transactions (less than 1 minute interval) 0x0db189e3a30900f60a9b906294f1c18a66b72dc2f1a52a36b700add686dfc21f: High frequency transactions (less than 1 minute interval) 0x98d802a16d31fc16468b5e60f6c3c31f124b32066990cb0a8585206ea0a0854d: High frequency transactions (less than 1 minute interval) 0x1fe2c9f491dc9c972ebae27c993d5403646b6b1c00bb3069080df391fe5749e1: High frequency transactions (less than 1 minute interval) 0x41b3f31ed696c6f1be3c724f25a2acae1924fb1cdf83fcc9f05047595de1cfb0: High frequency transactions (less than 1 minute interval) 0xdd85b5d0629a6ffac33ddc0c75f1d2e6502189b6460b9e4c04b6f777d9312418: High frequency transactions (less than 1 minute interval) 0xf30d81a677ce65d65350f3e12fb833cb7b30604531233a575a3033650e8a3526: High frequency transactions (less than 1 minute interval) 0xa68025409197f8dd04f76d8d5f802f765350c6760a63954963a3f212e7f4e903: High frequency transactions (less than 1 minute interval) 0xb61d3aec0ed5510c99ae12a71628eba30436922c89fc4fc99a1a77603f641de8: High frequency transactions (less than 1 minute interval) 0x33a3b4906df0f2d21096ad6c424feab3249665b243df1f64d8edd3f641ffb80b: High frequency transactions (less than 1 minute interval) 0xdcbe552a56f0815a8b80eddc11b29f107c4f6f7945a9257e0e4a36a494bbd2f0: High frequency transactions (less than 1 minute interval) 0xe0ccd5c0ee25b2d242aa3e2e0c62aad42ee241be26c792c605008bafee205e67: High frequency transactions (less than 1 minute interval) 0x5ad48abcfc0b742e9fe0334c23e769c415decde7f77b87e66fe6aa467f511168: High frequency transactions (less than 1 minute interval) 0xb67ca0ea2d1abdfa5aafcb7eeef0dadbd8b073a89e8a2cfe54ccf798c7937586: High frequency transactions (less than 1 minute interval) 0xaa604ab75e041cf59a1719ab9f37bfd9cece932ed0e5a62c885d03cb8269c2c4: High frequency transactions (less than 1 minute interval) 0x44323159ae2eb204905c1d78b1b673be7750667e501a01f3ed9165e0accb2728: High frequency transactions (less than 1 minute interval) 0x360f6f47784e2e8354ae94e0eec7cce4e3028522d91e3469cf8111f1b6e9a1a3: High frequency transactions (less than 1 minute interval) 0x8954df50d75c46fed91deff0a67944bbfac2cc04294f2a2b2b1649360f51c1d3: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0x19bdd64…
28 Medium
Related to 42 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Transaction amount halved compared to previous transaction
No tags
0x0db189e…
25 Medium
Repetitive transaction amount
Related to 42 high-risk transactions (highest score: 100)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
No tags
0x98d802a…
35 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 67 high-risk transactions (highest score: 100)
No tags
0x1fe2c9f…
53 High
Very short time between transactions
Transaction amount significantly higher than user average
Transaction amount significantly higher than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0x41b3f31…
100 High
Sends funds to exploit address: 0x1aaf1c...
Very short time between transactions
Transaction amount significantly lower than average
Transaction involves known exploit address: Fake_Phishing11380
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xdd85b5d…
51 High
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0xf30d81a…
41 High
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Transaction amount significantly lower than average
Short time frame between transactions
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xa680254…
34 Medium
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 100 high-risk transactions (highest score: 89)
No tags
0xb61d3ae…
34 Medium
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 100 high-risk transactions (highest score: 89)
No tags
0x33a3b49…
26 Medium
Repetitive transaction amount
High frequency transactions (less than 1 minute interval)
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Short time frame between transactions
Related to 100 high-risk transactions (highest score: 89)
No tags
0xdcbe552…
51 High
Very short time between transactions
Related to 245 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0xe0ccd5c…
34 Medium
Repetitive transaction amount
Very short time between transactions
Multiple round number transactions
Transaction amount significantly lower than average
Related to 245 high-risk transactions (highest score: 100)
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
No tags
0x5ad48ab…
41 High
High frequency transactions (less than 1 minute interval)
Related to 11 high-risk transactions (highest score: 94)
Very short time between transactions
Transaction amount significantly higher than average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0xb67ca0e…
48 High
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Related to 8 high-risk transactions (highest score: 85)
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
No tags
0xaa604ab…
40 High
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Related to 100 high-risk transactions (highest score: 89)
No tags
0x4432315…
42 High
Very short time between transactions
Transaction amount significantly higher than average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
Transaction amount doubled compared to previous transaction
Related to 100 high-risk transactions (highest score: 89)
No tags
0x360f6f4…
46 High
Very short time between transactions
Related to 245 high-risk transactions (highest score: 100)
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Local Outlier Factor (LOF) detected as anomaly
Anomaly detected by Isolation Forest
No tags
0x8954df5…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
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: 18 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 0xbc10723e7efe10b5c382c6a6bcc0275dd781c299: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 40.50 - Total Suspicious Patterns: 18 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 17:20:59 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.