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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0xf735...9bb3

Published 16 Jul 2025 6 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0xf735...9bb3

Overview

Project Scope

Analysis of wallet 0xf73548487dd74a27e3848cc1eff8b0f772939bb3 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0xf73548487dd74a27e3848cc1eff8b0f772939bb3
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0xf73548487dd74a27e3848cc1eff8b0f772939bb3 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 20 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 0xf73548487dd74a27e3848cc1eff8b0f772939bb3 1. Blockchain Data Retrieval - Retrieved 20 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 0xf73548487dd74a27e3848cc1eff8b0f772939bb3

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 80 Suspicious Transactions: 20

Key Findings: - Automated analysis detected 20 suspicious transactions - Risk assessment indicates very high risk level - 80 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.
0x14942cb34810f2792cd00ea682158cc99ae90e87c476c1c816636e3a7be35b97: Very short time between transactions
0x14942cb34810f2792cd00ea682158cc99ae90e87c476c1c816636e3a7be35b97: Transaction amount significantly higher than average 0x00c218d72be7e253a49820337a131601f15f5b98cc85deb33da05d8b2412b0b4: Transaction amount halved compared to previous transaction 0x315f1a97cef3d0d5556f9c5d80558e2495bd400936762029a7029b9218367c40: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x8a23890bd78472c7bd65b97853df822a9d17c3bec1435fc20a1d8f946aabc8d3: Transaction amount significantly lower than average 0xea82ab1b25bb8042e451e57646899e71c8e30eae94c0097202f4b3faad6d0ff3: Transaction amount doubled compared to previous transaction 0xaf3a744d00e0ed1932b70fd960487903fdca21e3d2df3791ef315515fc713d0c: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x6e06989b54a87b57c63d67a4a207ac09ac3fd59e7f4f7b780e57d4ae466ef5d7: Transaction amount doubled compared to previous transaction 0x54693c3cbd8b323764fd867a666892dc7e28968956dfa0c440c5c7193e408fb4: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0xd46bb2289a52b8a5cce8504c3827f86be03dc110995768f14f7df89c812849a3: Transaction amount significantly lower than average 0x1041f555120f95c979b6a40221572573d44b052c95282cff3d90ec124132c521: Transaction amount doubled compared to previous transaction 0x04131141814e61a3863ef235c2843bdebe095137e17feabcbcadd973cfb67692: Transaction amount significantly higher than average 0x140b730d09d78b073f115a3d6ffc9b560d67db645bd8c9ec666a42df3734ebba: Transaction amount significantly higher than average 0x490a371f2b5dcddc152141cbbc7dd210f7cacc334c5bd13aa2483b5be46a4173: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0xe0363e06adefb49e1d4ab2040ffdacaf0908ad9e44232d4af7099135cca99a0a: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction 0x512dafc629c364040ece5ee42b0360c35d675fcc6782ad08dab16398a4a2a1ed: Transaction amount halved compared to previous transaction, Transaction amount significantly lower than average 0x62c491b27f9ebac0da2c7055efe9f89175b2161886edd8857b4b42120b30ef5b: Transaction amount significantly lower than average 0xe2d98c1d03a0e59ff49015db3a7ef37dbe38e2cfb82b72bf5753929997edfe13: Transaction amount significantly lower than average 0x6af5129d4037bdfdeef1aea407cbc1218e84dc266c2eb0191143344ae4b13bc3: Transaction amount significantly higher than average, Transaction amount doubled compared to previous transaction
0x14942cb34810f2792cd00ea682158cc99ae90e87c476c1c816636e3a7be35b97: High frequency transactions (less than 1 minute interval) 0x00c218d72be7e253a49820337a131601f15f5b98cc85deb33da05d8b2412b0b4: High frequency transactions (less than 1 minute interval) 0x315f1a97cef3d0d5556f9c5d80558e2495bd400936762029a7029b9218367c40: High frequency transactions (less than 1 minute interval) 0x8a23890bd78472c7bd65b97853df822a9d17c3bec1435fc20a1d8f946aabc8d3: High frequency transactions (less than 1 minute interval) 0xea82ab1b25bb8042e451e57646899e71c8e30eae94c0097202f4b3faad6d0ff3: High frequency transactions (less than 1 minute interval) 0xaf3a744d00e0ed1932b70fd960487903fdca21e3d2df3791ef315515fc713d0c: High frequency transactions (less than 1 minute interval) 0x6e06989b54a87b57c63d67a4a207ac09ac3fd59e7f4f7b780e57d4ae466ef5d7: High frequency transactions (less than 1 minute interval) 0x54693c3cbd8b323764fd867a666892dc7e28968956dfa0c440c5c7193e408fb4: High frequency transactions (less than 1 minute interval) 0xd46bb2289a52b8a5cce8504c3827f86be03dc110995768f14f7df89c812849a3: High frequency transactions (less than 1 minute interval) 0x1041f555120f95c979b6a40221572573d44b052c95282cff3d90ec124132c521: High frequency transactions (less than 1 minute interval) 0x60693b64e449446478ddfb92990671df6ee8c533db885bbdc7faf72ec2a411f2: High frequency transactions (less than 1 minute interval) 0xf982d70027410cf7313f26ebc582305798a536374212484e5d9ec82b688b5dff: High frequency transactions (less than 1 minute interval) 0x04131141814e61a3863ef235c2843bdebe095137e17feabcbcadd973cfb67692: High frequency transactions (less than 1 minute interval) 0x140b730d09d78b073f115a3d6ffc9b560d67db645bd8c9ec666a42df3734ebba: High frequency transactions (less than 1 minute interval) 0x490a371f2b5dcddc152141cbbc7dd210f7cacc334c5bd13aa2483b5be46a4173: High frequency transactions (less than 1 minute interval) 0xe0363e06adefb49e1d4ab2040ffdacaf0908ad9e44232d4af7099135cca99a0a: High frequency transactions (less than 1 minute interval) 0x512dafc629c364040ece5ee42b0360c35d675fcc6782ad08dab16398a4a2a1ed: High frequency transactions (less than 1 minute interval) 0x62c491b27f9ebac0da2c7055efe9f89175b2161886edd8857b4b42120b30ef5b: High frequency transactions (less than 1 minute interval) 0xe2d98c1d03a0e59ff49015db3a7ef37dbe38e2cfb82b72bf5753929997edfe13: High frequency transactions (less than 1 minute interval) 0x6af5129d4037bdfdeef1aea407cbc1218e84dc266c2eb0191143344ae4b13bc3: High frequency transactions (less than 1 minute interval)

Suspicious Transactions

Transaction Hash Risk Score Risk Factors
0x14942cb…
100 High
Transaction amount doubled compared to previous transaction
Transaction involves known exploit address: Fake_Phishing138594
Short time frame between transactions
Very short time between transactions
Sends funds to exploit address: 0x3fe57b...
0x00c218d…
33 Medium
Local Outlier Factor (LOF) detected as anomaly
Transaction amount significantly lower than average
Related to 329 high-risk transactions (highest score: 100)
Short time frame between transactions
Very short time between transactions
Repetitive transaction amount
0x315f1a9…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x8a23890…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xea82ab1…
53 High
Transaction amount significantly lower than average
Transaction amount doubled compared to previous transaction
Part of coordinated wallet cluster
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Related to 20 high-risk transactions (highest score: 87)
0xaf3a744…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x6e06989…
53 High
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Short time frame between transactions
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0x54693c3…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xd46bb22…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x1041f55…
44 High
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Address became active after a long inactive period
Anomaly detected by Isolation Forest
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0x60693b6…
48 High
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Related to 32 high-risk transactions (highest score: 97)
0xf982d70…
48 High
Local Outlier Factor (LOF) detected as anomaly
Transaction amount doubled compared to previous transaction
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
Related to 32 high-risk transactions (highest score: 97)
0x0413114…
85 High
Local Outlier Factor (LOF) detected as anomaly
Round amount consistent with mixer
Anomaly detected by Isolation Forest
Very short time between transactions
Transaction amount significantly higher than average
Transaction amount significantly higher than user average
0x140b730…
85 High
Round amount consistent with mixer
Standard mixer amount detected
Very short time between transactions
Transaction amount halved compared to previous transaction
Related to 55 high-risk transactions (highest score: 100)
0x490a371…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xe0363e0…
85 High
Standard mixer amount detected
Related to 35 high-risk transactions (highest score: 97)
Very short time between transactions
0x512dafc…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x62c491b…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0xe2d98c1…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
0x6af5129…
85 High
Round amount consistent with mixer
Transaction amount doubled compared to previous transaction
Standard mixer amount detected
Very short time between transactions
Related to 269 high-risk transactions (highest score: 100)
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: 11 Medium Risk Activities: 0 Total Flagged Transactions: 20 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 0xf73548487dd74a27e3848cc1eff8b0f772939bb3: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 35.95 - Total Suspicious Patterns: 20 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: 2025-07-16 01:55:40 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.