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Lazarus High Risk Bybit Hacking Investigation [CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001] - Wallet Analysis Report - Very High Risk - 0x1775...ab85

Published 13 Jul 2025 13 views
Wallet Name Analysis Target Wallet (CLADIOUS-[BYBIT_HACKER_LAZARUS_ITER]-2025-001) - 0x1775...ab85
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Overview

Project Scope

Analysis of wallet 0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85 - Lazarus High Risk Bybit Hacking Investigation

Suspicious Wallet Hash

0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85
This is the primary wallet address being investigated in this report.

Methodology

Research Methodology

Automated Analysis Methodology for Wallet 0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85 1. Data Collection - Automated transaction retrieval from blockchain - Historical transaction pattern analysis - Network connection mapping 2. Analysis Algorithms - Multi-algorithm approach using 35 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 0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85 1. Blockchain Data Retrieval - Retrieved 35 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 0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85

Risk Level: Very High Risk Score: 100/100 Total Issues Identified: 139 Suspicious Transactions: 35

Key Findings: - Automated analysis detected 35 suspicious transactions - Risk assessment indicates very high risk level - 139 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.
0x3dfe6c68b9496ab65fa3817bc003b394862573dfce39b459b28b9c223d20f3a0: Very short time between transactions 0xc4c8151e1a0101a8acfe4f5ad8b9aae1bd8dd8639cbe9fb7d03fccef6ba527ba: Very short time between transactions 0x19a7fbea2a8af9e603d79504298b54fcba67f9175bb53af0c6380c83d9cb4fa4: Very short time between transactions 0x8f9b110edd1cc4cd31f0b98ead01b2b31145ce2616d8791cb77589d2af0025b4: Very short time between transactions 0xd66304d7016fcada87d9a5bb979d5aaf3a111e5c635f7754011d0c886ed96f51: Very short time between transactions 0x2caa339a8273bc0186a6fdfab84725c31f79d2adc43728026eb43c449c89fa08: Very short time between transactions 0x2178f27617e342b045f52197cbc7c7678c2b3eb65e2c06d94de87a2e2669d550: Very short time between transactions 0x9eca571c6dbd07dc991978ad3ab84ac3b435b26da3564ece2e9724865726d7b4: Very short time between transactions 0x260551ddd5dcd3a1c0859f8c73e250bab7c76056b275bb75a2a1dd232bc93790: Very short time between transactions 0x7172a1ac4b1ed2df607866e30f6a05c46c8a53d07e2e23ce5e424a626ad71432: Very short time between transactions 0x0bdb6571efd2e38ac06334ecca0a398e5ebdb10e1eb77b0e1092cde7d576afb8: Very short time between transactions 0x663753bca4f1e1a371e0fc88ebb2c86cf5ea96ea4d97ac5922337689d4ace2a0: Very short time between transactions 0x3fadd123487e1bc92b66cbf78bae13566f7752722bfdbbe624048c254f13bb83: Very short time between transactions 0xf687eef3aef4a7cd9d5ba4e796bf0d2f149b5e0409607a95db2f91ad68ca7000: Very short time between transactions 0xbe6865b536db03724f4702fcc12500a7332f37e9f9eb3245bcbd80f96f6277c4: Very short time between transactions 0x6b6e96f7a2a292c7908fc498b6268dde106de03e9371488af482b58f704da45a: Very short time between transactions 0x5c551991a5f41d75b64a37112abf4fdbfddf13ba53830980b1549aac6f928682: Very short time between transactions 0x0c247058685f75aff34e57cf4cc9938a8e13380ad0bd5f9660f256b7f2ef445d: Very short time between transactions 0x9fec5b4c360f0f2faa692d1e5c78e3edc4a2ab9cc20a306bb73e8feac52e9a9a: Very short time between transactions 0x6eb8576767c352006da9d0b3fe391860add48ce70acdfe077c9dfe1f6b6ce423: Very short time between transactions 0x2662bd4ec3ed61cfda5ae1b74641cb1671e8d2fdc7e07de767c80d1f0b84af25: Very short time between transactions 0xbf2b858ed5ed46c2bf3f9934bb4e0db41e2346a4f6d4f22eb2c31cf105afaad0: Very short time between transactions 0xed390b0a3bd01df86632ae1c8e9ce3704e1ec5ab7342dd583704e079998db409: Very short time between transactions 0xae2128dcdec0579d8e7ae4d71d971fcc5f8154230f9ca513eed19ea75ee4d9ed: Very short time between transactions 0xe188ac85b5737575c84754f42944f782aa91a0dfb533e7e4e160d7bc8edcc8cd: Very short time between transactions 0x9fd48b3f3568bddc0bfc23dd7cbc7fdc2b2753ec9aa55a131cba997c2998222c: Very short time between transactions 0x550b4f9b1824b156d207d231bec4bd53b67b51f2e267239bd0bc723eeb0f90fa: Very short time between transactions 0x36956bb2d4d7347cd284828b79f7d2b676e7a9e7e0c7c99e1325a23f62ac259b: Very short time between transactions 0x8ec6bf86c8783a74bec331001bfeb87783ae7c496b47f91089df380448b1cd6e: Very short time between transactions 0x18d7587f237f2dc12af4d36dfdfb4cecaec347ec6cbd0c746a9316a76f9b8f35: Very short time between transactions 0xf7298c1e3d56968bd1ad12b878b59e6146303a34a4a12278b81c3ae110e51517: Very short time between transactions 0x79663525dd9d37a74028ff8852f329e3fdcaa978dcb936866c9795283b57576e: Very short time between transactions 0x05112495fd522003ce0946063acfe5e9aec6225c1a410c17defe4e817a3b6fb7: Very short time between transactions 0x9ffa9ea0d757c3f5236149c3218bd7655dc18683fd8fc13b7d948929ea890f11: Very short time between transactions
0xc4c8151e1a0101a8acfe4f5ad8b9aae1bd8dd8639cbe9fb7d03fccef6ba527ba: Transaction amount significantly higher than average 0xf687eef3aef4a7cd9d5ba4e796bf0d2f149b5e0409607a95db2f91ad68ca7000: Transaction amount significantly higher than average 0x5c551991a5f41d75b64a37112abf4fdbfddf13ba53830980b1549aac6f928682: Transaction amount halved compared to previous transaction 0x6eb8576767c352006da9d0b3fe391860add48ce70acdfe077c9dfe1f6b6ce423: Transaction amount halved compared to previous transaction 0xbf2b858ed5ed46c2bf3f9934bb4e0db41e2346a4f6d4f22eb2c31cf105afaad0: Transaction amount doubled compared to previous transaction 0xed390b0a3bd01df86632ae1c8e9ce3704e1ec5ab7342dd583704e079998db409: Transaction amount significantly higher than average 0x9fd48b3f3568bddc0bfc23dd7cbc7fdc2b2753ec9aa55a131cba997c2998222c: Transaction amount doubled compared to previous transaction 0x18d7587f237f2dc12af4d36dfdfb4cecaec347ec6cbd0c746a9316a76f9b8f35: Transaction amount doubled compared to previous transaction 0x5d9dcf781f92b915662e56e7e844237962d6c7ff013142598f7da2ffa96788d1: Transaction amount significantly lower than average, Transaction amount halved compared to previous transaction
0x3dfe6c68b9496ab65fa3817bc003b394862573dfce39b459b28b9c223d20f3a0: High frequency transactions (less than 1 minute interval) 0xc4c8151e1a0101a8acfe4f5ad8b9aae1bd8dd8639cbe9fb7d03fccef6ba527ba: High frequency transactions (less than 1 minute interval) 0x19a7fbea2a8af9e603d79504298b54fcba67f9175bb53af0c6380c83d9cb4fa4: High frequency transactions (less than 1 minute interval) 0x8f9b110edd1cc4cd31f0b98ead01b2b31145ce2616d8791cb77589d2af0025b4: High frequency transactions (less than 1 minute interval) 0xd66304d7016fcada87d9a5bb979d5aaf3a111e5c635f7754011d0c886ed96f51: High frequency transactions (less than 1 minute interval) 0x2caa339a8273bc0186a6fdfab84725c31f79d2adc43728026eb43c449c89fa08: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x2178f27617e342b045f52197cbc7c7678c2b3eb65e2c06d94de87a2e2669d550: High frequency transactions (less than 1 minute interval) 0x9eca571c6dbd07dc991978ad3ab84ac3b435b26da3564ece2e9724865726d7b4: High frequency transactions (less than 1 minute interval) 0x260551ddd5dcd3a1c0859f8c73e250bab7c76056b275bb75a2a1dd232bc93790: High frequency transactions (less than 1 minute interval) 0x7172a1ac4b1ed2df607866e30f6a05c46c8a53d07e2e23ce5e424a626ad71432: High frequency transactions (less than 1 minute interval) 0x0bdb6571efd2e38ac06334ecca0a398e5ebdb10e1eb77b0e1092cde7d576afb8: High frequency transactions (less than 1 minute interval) 0x663753bca4f1e1a371e0fc88ebb2c86cf5ea96ea4d97ac5922337689d4ace2a0: High frequency transactions (less than 1 minute interval) 0x3fadd123487e1bc92b66cbf78bae13566f7752722bfdbbe624048c254f13bb83: High frequency transactions (less than 1 minute interval) 0xf687eef3aef4a7cd9d5ba4e796bf0d2f149b5e0409607a95db2f91ad68ca7000: High frequency transactions (less than 1 minute interval) 0xbe6865b536db03724f4702fcc12500a7332f37e9f9eb3245bcbd80f96f6277c4: High frequency transactions (less than 1 minute interval) 0x6b6e96f7a2a292c7908fc498b6268dde106de03e9371488af482b58f704da45a: High frequency transactions (less than 1 minute interval) 0x5c551991a5f41d75b64a37112abf4fdbfddf13ba53830980b1549aac6f928682: High frequency transactions (less than 1 minute interval) 0x0c247058685f75aff34e57cf4cc9938a8e13380ad0bd5f9660f256b7f2ef445d: High frequency transactions (less than 1 minute interval) 0x9fec5b4c360f0f2faa692d1e5c78e3edc4a2ab9cc20a306bb73e8feac52e9a9a: High frequency transactions (less than 1 minute interval) 0x6eb8576767c352006da9d0b3fe391860add48ce70acdfe077c9dfe1f6b6ce423: High frequency transactions (less than 1 minute interval) 0x2662bd4ec3ed61cfda5ae1b74641cb1671e8d2fdc7e07de767c80d1f0b84af25: High frequency transactions (less than 1 minute interval) 0xbf2b858ed5ed46c2bf3f9934bb4e0db41e2346a4f6d4f22eb2c31cf105afaad0: High frequency transactions (less than 1 minute interval) 0xed390b0a3bd01df86632ae1c8e9ce3704e1ec5ab7342dd583704e079998db409: High frequency transactions (less than 1 minute interval) 0xae2128dcdec0579d8e7ae4d71d971fcc5f8154230f9ca513eed19ea75ee4d9ed: High frequency transactions (less than 1 minute interval) 0xe188ac85b5737575c84754f42944f782aa91a0dfb533e7e4e160d7bc8edcc8cd: High frequency transactions (less than 1 minute interval) 0x9fd48b3f3568bddc0bfc23dd7cbc7fdc2b2753ec9aa55a131cba997c2998222c: High frequency transactions (less than 1 minute interval) 0x550b4f9b1824b156d207d231bec4bd53b67b51f2e267239bd0bc723eeb0f90fa: High frequency transactions (less than 1 minute interval) 0x36956bb2d4d7347cd284828b79f7d2b676e7a9e7e0c7c99e1325a23f62ac259b: Regular interval transactions between the same wallets, High frequency transactions (less than 1 minute interval) 0x8ec6bf86c8783a74bec331001bfeb87783ae7c496b47f91089df380448b1cd6e: High frequency transactions (less than 1 minute interval) 0x18d7587f237f2dc12af4d36dfdfb4cecaec347ec6cbd0c746a9316a76f9b8f35: High frequency transactions (less than 1 minute interval) 0xf7298c1e3d56968bd1ad12b878b59e6146303a34a4a12278b81c3ae110e51517: High frequency transactions (less than 1 minute interval) 0x79663525dd9d37a74028ff8852f329e3fdcaa978dcb936866c9795283b57576e: High frequency transactions (less than 1 minute interval) 0x05112495fd522003ce0946063acfe5e9aec6225c1a410c17defe4e817a3b6fb7: High frequency transactions (less than 1 minute interval) 0x9ffa9ea0d757c3f5236149c3218bd7655dc18683fd8fc13b7d948929ea890f11: High frequency transactions (less than 1 minute interval)

Summary

Total Suspicious Transactions
35
Average Risk Score
46.34
Top Tags
No tags

Suspicious Transactions

Transaction Hash Risk Score Risk Factors Tags
0xd66304d…
41 High
Short time frame between transactions
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x3fadd12…
88 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Round amount consistent with mixer
Low transaction fee
Standard mixer amount detected
Related to high-risk transaction ['0xf8552f97e8bd6105c213b89d1b22d52391a32dc726892e09bd085af1d29955f2'] (score: 85)
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Transaction amount significantly lower than average
Very short time between transactions
No tags
0x5c55199…
31 Medium
Short time frame between transactions
Multiple round number transactions
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
0xbf2b858…
61 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xae2128d…
60 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Transaction amount halved compared to previous transaction
Low transaction fee
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x8ec6bf8…
44 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x2caa339…
47 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x663753b…
46 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x2178f27…
31 Medium
Short time frame between transactions
Multiple round number transactions
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
0x9eca571…
27 Medium
Short time frame between transactions
Multiple round number transactions
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x260551d…
29 Medium
Short time frame between transactions
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x7172a1a…
48 High
Short time frame between transactions
Rapid accumulation of large transactions
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x0bdb657…
30 Medium
Short time frame between transactions
Multiple round number transactions
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x6b6e96f…
47 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x6eb8576…
47 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x2662bd4…
44 High
Short time frame between transactions
Rapid multi-hop layering pattern detected
Low transaction fee
Repetitive transaction amount
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x550b4f9…
61 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xe188ac8…
30 Medium
Short time frame between transactions
Multiple round number transactions
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x9fec5b4…
30 Medium
Short time frame between transactions
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
0x0c24705…
48 High
Short time frame between transactions
Rapid accumulation of large transactions
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
No tags
0x19a7fbe…
30 Medium
Short time frame between transactions
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
0x5d9dcf7…
0 Low
Transaction involves trusted address (Exchange/DeFi Protocol)
No tags
0x9ffa9ea…
34 Medium
Multiple round number transactions
Local Outlier Factor (LOF) detected as anomaly
Related to 17 high-risk transactions (highest score: 83)
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
Transaction amount halved compared to previous transaction
No tags
0x0511249…
61 High
Short time frame between transactions
Rapid accumulation of large transactions
Transaction amount significantly higher than average
Related to 53 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Very short time between transactions
No tags
0xed390b0…
100 High
Transaction amount significantly higher than average
Related to 18 high-risk transactions (highest score: 100)
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Transaction involves DeFi exploit address: Bybit Exploiter 34
Low transaction fee
Transaction amount doubled compared to previous transaction
Receives funds from exploit address: 0x3a21f4...
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x7966352…
50 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Part of cyclic transaction pattern: Part of cycle of length 4
No tags
0x18d7587…
60 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Low transaction fee
Transaction amount doubled compared to previous transaction
Part of cyclic transaction pattern: Part of cycle of length 4
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xf687eef…
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
Local Outlier Factor (LOF) detected as anomaly
Low transaction fee
Transaction amount doubled compared to previous transaction
Related to 4 high-risk transactions (highest score: 100)
Rapid accumulation of large transactions
Very short time between transactions
No tags
0x36956bb…
26 Medium
Short time frame between transactions
Related to high-risk transaction ['0x55d47d8d2937a5c1f7523c1159f2f295440895e6a5df57bc0129e14c0b02933e'] (score: 100)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xbe6865b…
62 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
Transaction amount halved compared to previous transaction
Low transaction fee
Rapid accumulation of large transactions
Very short time between transactions
No tags
0xc4c8151…
100 High
Transaction amount significantly higher than average
Anomaly detected by Isolation Forest
Transaction amount significantly higher than user average
Large transaction amount
Local Outlier Factor (LOF) detected as anomaly
Receives funds from exploit address: 0x4571bd...
High frequency transactions (less than 1 minute interval)
Transaction involves DeFi exploit address: Bybit Exploiter 54
Low transaction fee
Related to 11 high-risk transactions (highest score: 100)
Very short time between transactions
No tags
0x8f9b110…
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
0x9fd48b3…
28 Medium
Short time frame between transactions
Multiple round number transactions
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Very short time between transactions
Transaction amount significantly lower than average
No tags
0xf7298c1…
43 High
Short time frame between transactions
Anomaly detected by Isolation Forest
High frequency transactions (less than 1 minute interval)
Low transaction fee
Transaction amount doubled compared to previous transaction
Very short time between transactions
Transaction amount significantly lower than average
No tags
0x3dfe6c6…
59 High
Short time frame between transactions
Anomaly detected by Isolation Forest
Local Outlier Factor (LOF) detected as anomaly
Large transaction amount
High frequency transactions (less than 1 minute interval)
Repetitive transaction amount
Low transaction fee
Related to high-risk transaction ['0xde5332a380a222c3240dfb2edec6ee62944d02c0707c836a76be71af2da05d0a'] (score: 100)
Rapid accumulation of large transactions
Very short time between 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: 34 Medium Risk Activities: 0 Total Flagged Transactions: 35 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 0x1775fe9357893c5ffb2fd4ab2e9643e29a4bab85: 1. Risk Assessment - Overall Risk Level: Very High - Standardized Risk Score: 100/100 - Average Transaction Risk Score: 48.17 - Total Suspicious Patterns: 35 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: 2025-07-13 23:01:07 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 13, 2025
Views 13
Likes 0